Are you passionate about building and maintaining large-scale production systems that support advanced data science and machine learning applications? Do you want to join a team at the heart of NVIDIA's data-driven decision-making culture? If so, we have a great opportunity for you! NVIDIA is seeking a Senior Site Reliability Engineer (SRE) for the Data Science & ML Platform(s) team. The role involves designing, building, and maintaining services that enable real-time data analytics, streaming, data lakes, observability and ML/AI training and inferencing. The responsibilities include implementing software and systems engineering practices to ensure high efficiency and availability of the platform, as well as applying SRE principles to improve production systems and optimize service SLOs. Additionally, collaboration with our customers to plan implement changes to the existing system, while monitoring capacity, latency, and performance is part of the role. To succeed in this position, a strong background in SRE practices, systems, networking, coding, capacity management, cloud operations, continuous delivery and deployment, and open-source cloud enabling technologies like Kubernetes and OpenStack is required. Deep understanding of the challenges and standard methodologies of running large-scale distributed systems in production, solving complex issues, automating repetitive tasks, and proactively identifying potential outages is also necessary. Furthermore, excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem solving, and openness are essential. As a Senior SRE at NVIDIA, you will have the opportunity to work on innovative technologies that power the future of AI and data science, and be part of a dynamic and supportive team that values learning and growth. The role provides the autonomy to work on meaningful projects with the support and mentorship needed to succeed, and contributes to a culture of blameless postmortems, iterative improvement, and risk-taking. If you are seeking an exciting and rewarding career that makes a difference, we invite you to apply now! What you’ll be doing: Develop software solutions to ensure reliability and operability of large-scale systems supporting machine-critical use cases. Gain a deep understanding of our system operations, scalability, interactions, and failures to identify improvement opportunities and risks. Create tools and automation to reduce operational overhead and eliminate manual tasks. Establish frameworks, processes, and standard methodologies to enhance operational maturity, team efficiency, and accelerate innovation. Define meaningful and actionable reliability metrics to track and improve system and service reliability. Oversee capacity and performance management to facilitate infrastructure scaling across public and private clouds globally. Build tools to improve our service observability for faster issue resolution. Practice sustainable incident response and blameless postmortems What we need to see: Minimum of 10 years of experience in SRE, Cloud platforms, or DevOps with large-scale microservices in production environments. Master's or Bachelor's degree in Computer Science or Electrical Engineering or CE or equivalent experience. Strong understanding of SRE principles, including error budgets, SLOs, and SLAs. Proficiency in incident, change, and problem management processes. Skilled in problem-solving, root cause analysis, and optimization. Experience with streaming data infrastructure services, such as Kafka and Spark. Expertise in building and operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus). Proficiency in programming languages such as Python, Go, Perl, or Ruby. Hands-on experience with scaling distributed systems in public, private, or hybrid cloud environments. Experience in deploying, supporting, and supervising services, platforms, and application stacks. Ways to stand out from the crowd: Experience operating large-scale distributed systems with strong SLAs. Excellent coding skills in Python and Go and extensive experience in operating data platforms. Knowledge of CI/CD systems, such as Jenkins and GitHub Actions. Familiarity with Infrastructure as Code (IaC) methodologies and tools. Excellent interpersonal skills for identifying and communicating data-driven insights. NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence. The base salary range is 224,000 USD - 425,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, DevOps, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $135,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara

\nAbout Cyngn \nBased in Menlo Park, CA, Cyngn is a publicly traded autonomous vehicle company. Whether at a warehouse floor, mine, or construction site, our self-driving technology can be deployed in various commercial domains across various vehicle form factors. To build this emergent technology, we seek innovative, motivated, and experienced leaders to join our team and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn: \n\n\nWe are Small and Big. \nWith under 100 employees, Cyngn is still a company that operates with the energy of a startup. On the other hand, we are publicly traded. Combined, our employees not only work in close-knit teams with close mentorship from company leaders, but they also get access to the liquidity of our publicly traded equity. This gives our small team the opportunity to make a big impact in industries that other people aren’t touching—without taking on the risks associated with untested organizations. \n\n\nWe Build Today and Deploy Tomorrow. \nOur employees aren’t just researchers but are creating reality. In other words, the autonomous vehicles we’re building are designed to go to real clients right away. We are driven by our passion for innovation, our ability to see the entire product, and the real impact of our work in the real world. At Cyngn, the distance between the theoretical and the actual is razor-thin. \n\n\nWe aren’t robots. We just build them. \nRead our Glassdoor reviews, and you’ll find that one of the best things about working here is the people. We are an inclusive, diverse team of top talent with exceptional synergy. We thrive on open collaboration and a trusting and creative work environment that is fueled by our passion for the industry. At Cyngn, everyone’s voice is valued, and each of our unique perspectives is celebrated. It’s the people that allow our company to continue to grow bigger and better every day.\n\n\n\n\nAbout this Role:\nAs a Senior DevOps Lead at Cyngn, you will play a vital role in architecting and managing infrastructure across cloud and autonomous vehicle systems. This position combines traditional cloud DevOps leadership with specialized expertise in robotics and autonomous systems infrastructure. You will bridge the gap between cloud operations and edge computing while leading a team of DevOps engineers to build and maintain scalable, reliable infrastructure for our autonomous vehicle platform.\n\n\n\nWhat you will do in this role\n* Lead and architect cloud and vehicle infrastructure initiatives across AWS and ROS/Linux environments \n* Design and implement scalable solutions for both cloud services and autonomous vehicle systems \n* Establish and maintain DevOps best practices, CI/CD pipelines, and infrastructure as code \n* Drive observability, monitoring, and incident response strategies \n* Optimize performance and cost efficiency of cloud and edge computing resources \n* Mentor team members and foster a developer-friendly environment \n* Manage on-call rotations and incident response processes \n* Architect solutions for processing and storing large-scale vehicle telemetry data \n* Lead security initiatives and compliance efforts across infrastructure \n* Design and implement solutions for both cloud services and autonomous vehicle systems \n* Optimize system performance for real-time processing of high-bandwidth sensor data \n* Develop and maintain documentation for system architecture and integration procedures \n\n\n\nWho you are\n* 10+ years of relevant DevOps/Infrastructure experience\n* Proven track record as a technical lead in platform or infrastructure teams\n* Advanced expertise in AWS services, infrastructure as code (Terraform), and Kubernetes\n* Strong experience with service mesh (Istio) and Helm/Kustomize\n* Deep understanding of ROS/ROS2 and Linux kernel configurations\n* Experience with GPU configurations and ML infrastructure\n* Expertise in ARM and NVIDIA CUDA platform configurations\n* Strong programming skills in Python and shell scripting\n* Experience with infrastructure automation (Ansible)\n* Expertise in CI/CD tools (Jenkins, GitHub Actions)\n* Strong system architecture and design skills\n* Excellence in technical documentation\n* Outstanding problem-solving abilities\n* Strong leadership and mentoring capabilities\n\n\n\nNice to haves\n* Experience with autonomous vehicle systems\n* Track record of optimizing GPU-based ML infrastructure\n* Experience with large-scale IoT deployments\n* Contributions to open-source projects\n* Experience with real-time systems and low-latency requirements\n* Expertise in security implementations including SSO, IdP, and AWS Cognito\n* Experience with JFrog artifactory and container registry management\n* Proficiency in AWS IoT Greengrass\n* Experience with container resource management on edge devices\n* Understanding of CPU affinity and priority scheduling\n* Track record of implementing cost optimization strategies\n* Experience with scaling systems both horizontally and vertically\n\n\n\nBenefits & Perks\n* Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)\n* Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)\n* Company 401(k)\n* Commuter Benefits\n* Flexible vacation policy\n* Stock options for all full-time employees\n* Sabbatical leave opportunity after five years with the company\n* Paid Parental Leave\n* Daily lunches for in-office employees and fully stocked kitchen with snacks and beverages\n* Monthly meal and tech allowances for remote employees\n\n\n\n\n\n$180,000 - $240,000 a year\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, Senior and Linux jobs that are similar:\n\n $45,000 — $75,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nMenlo Park, CA

\nWho You Are\nWe are seeking an experienced and talented Cloud Engineer to join our growing team with a heavy network focus.   As a Cloud Engineer, you will play a crucial role in designing, deploying, and managing cloud infrastructure across large environments. Leveraging Infrastructure as Code (IAC) principles, you will ensure seamless deployment and scalability. If you are passionate about cloud technologies, automation, and have expertise in Azure, Windows, Linux (RHEL), Kubernetes, Terraform, Ansible, and Python, we want to hear from you!\n\n\n\nWhat You'll Do\n* Implement and maintain hybrid Azure / Cisco Routing / Cisco Nexus ACI / Palo Alto - Panorama / A10 seamless cloud network. \n* Design, deploy, and maintain cloud infrastructure in Azure, ensuring scalability and reliability.\n* Implement CI/CD pipelines using Azure DevOps or similar tools\n* Implement Infrastructure as Code (IAC) practices using Terraform and Ansible.\n* Work with both Windows and Linux (RHEL) operating systems.\n* Manage Kubernetes clusters for containerized applications.\n* Utilize Python scripting for automation and custom tooling.\n* Implement secure vaulting solutions for sensitive data.\n* Collaborate with cross-functional teams to define and implement best practices.\n\n\n\nWhat You'll Need\n* Bachelor’s degree in Computer Science, Information Technology, or related field.\n* Proven experience as a Cloud Engineer or similar role.\n* Azure certification (e.g., AZ-900, AZ-104) is a plus.\n* Strong understanding of cloud architecture and IAC principles.\n* Excellent problem-solving skills and attention to detail.\n* Ability to work independently and collaboratively in a fast-paced environment.\n* Strong communication and interpersonal skills.\n* Experience with VMware for virtualization.\n* Familiarity with Kafka, Redis, and MongoDB.\n* Proficiency in MSSQL and database administration.\n* Strong knowledge of GO programming language.\n* Storage Area Networking (iSCSI) experience.\n* Load balancing knowledge (A10 preferred).\n\n\n\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, DevOps, Finance, Cloud and Engineer jobs that are similar:\n\n $50,000 — $90,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

About Phaidra\n\nPhaidra is building the future of industrial automation.\n\nThe world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.\n\nPhaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:\n\n\n* We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.\n\n* We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.\n\n* We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.\n\n\n\n\nOur team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.\n\nPhaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Norway, Italy, Spain, Portugal, and India.\n\n**Please only apply to one opening. If you are a better fit for another opening, our team will move your application. Candidates who apply to multiple openings will not be considered.**\nWho You Are\n\nWe are looking for a very experienced Software Engineer with a focus on MLOps tech leadership to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n\n* We are seeking a team member located within one of the following areas: USA/Canada/UK/EU\n\n\n\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as a very experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 10+ years of work experience.\n\n* Proven record on impact as a Tech Leader and bar-raiser for ambitious Software Engineering teams\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Extensive experience with platform Software Engineering with the ability to contribute on all levels as an individual contributor and tech leader\n\n* Strong expertise on building, operating and monitoring large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and metrics collection\n\n* Ability to take ownership of realtime production systems - aligning technical with business requirements, raising the bar for operational excellence and on-call incident handling\n\n* Strong expertise in Python and Cloud environments\n\n* Very good grasp of Machine Learning (especially Deep Learning) fundamentals\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience with building applications that can be deployed in cloud, as well as in hybrid or on-prem environment\n\n* Exposure to Reinforcement Learning or other in-depth knowledge on modern ML applications\n\n* Experience with industrial applications, industrial control systems, IoT, sensor time series applications, or similar\n\n\n\nRelevant Technologies from our Stack\n\n\n* Python, Go\n\n* PyTorch, PyTorch Lightning\n\n* Ray.io, Prefect, mlflow\n\n* REST & gRPC micro-services\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Grafana Cloud, Prometheus\n\n* Poetry, Pants\n\n* Gitlab CI, ArgoCD, Atlantis\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* \n\nMeeting with Operations (30 minutes): The purpose of this interview is to meet you, learn more about your background, discuss what you are looking for in a new position and cover formalities around your application.\n\n\n* \n\nTech Lead interview (60 minutes): This interview is a combination of technical and cultural fit assessment. We will cover your technical experience and the skills as an engineer and a tech lead while discussing projects that you have worked on in the past. You will meet the manager for the role as well as our VP of Engineering, with the opportunity to ask any questions about the team, role and engineering at Phaidra.\n\n\n* \n\nML system design & SRE (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring\n\n\n* \n\nML interview (60 minutes): This interview will focus on Machine Learning approaches, algorithms and theory. You will be asked about ML algorithms you are familiar with, how they work under the hood and how to use them in an applied setting.\n\n\n* \n\nCulture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values and the mutual cultural fit.\n\n\n\nBase Salary\n\n\n* US Residents: $156,000-$234,000/year\n\n* UK Residents: £108,000-£162,000/year\n\n\n\n\nSalary ranges for EU countries will vary based on the market rate for the location.\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.\nBenefits & Perks\n\n\n* Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.\n\n* Phaidra is a 100% remote company with a digital nomad policy.\n\n* Competitive compensation & equity.\n\n* Outsized responsibilities & professional development.\n\n* Training is foundational; functional, customer immersion, and development training.\n\n* Medical, dental, and vision insurance (exact benefits vary by region).\n\n* Unlimited paid time off, with a minimum of 20 days off per year requirement.\n\n* Paid parental leave (exact benefits vary by region).\n\n* Home office setup allowance and company MacBook.\n\n* Monthly remote work stipend.\n\n\n\nOn being Remote\n\nWe are thoughtful about remote collaboration. We look to the pioneers - like Gitlab - for inspiration and best practices to create a stellar remote work environment. We have a documentation-first culture and actively practice asynchronous communication in everything we do. Our team stays connected through tools like Slack and video chat. Most teams meet daily, and we have dedicated all-hands meetings bi-weekly to build strong relationships. We hold virtual team building events once per month - and even hold virtual socials to watch rocket launches! We have a yearly in-person, all-company summit in locations like Seattle, Athens, Goa, and Barcelona.\nEqual Opportunity Employment\n\nPhaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at [email protected].\nE-Verify Notice\n\nPhaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States.\n\nAdditional information about E-Verify can be found here.\n\n#LI-Remote\n\nWE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Engineer and Backend jobs that are similar:\n\n $70,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States

Who You Are\n\nWe are looking for a driven Software Engineer (MLOps) to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers who may not be tech-savvy. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n**We are seeking a team member located within one of the following areas: USA/Canada/UK\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as an experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Design and optimize data storage & retrieval mechanisms for high throughput, security & ease of access.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 7+ years of work experience.\n\n* Bachelors or Masters in Computer Science, or equivalent experience.\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Expertise with production Software Engineering - relational and non-relational data modelling, micro-services, understanding of event driven systems, etc.\n\n* Strong experience building large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and statistics/metrics collection.\n\n* Strong expertise in Python and Cloud environments\n\n* Good grasp of Machine Learning (especially Deep Learning) fundamentals.\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience as a service owner of a realtime production system - operating & monitoring services in production, including using observability tooling such as Prometheus, Grafana, Tempo or equivalent offerings and incident management.\n\n* Experience with building applications that can be deployed in cloud, hybrid or on prem environments\n\n* Exposure to Reinforcement Learning\n\n\n\nOur Stack\n\n\n* Languages - (Backend) Python, Go; (Frontend) JavaScript/TypeScript, React; Customer SDK & Clients - C# .NET\n\n* PyTorch\n\n* Cypress\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* Gitlab CI, ArgoCD, Atlantis, Vercel\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Ray.io\n\n* REST & gRPC micro-services\n\n* Poetry, Pantsbuild\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* Initial screening interview with a People Operations team member (30 minutes): The purpose of this interview is to meet you, learn more about your background, and discuss what you are looking for in a new position.\n\n* Hiring manager interview (30 minutes): The purpose of this meeting is for you to get to know the manager for the role. This chat will mainly focus on your previous experience and technical background. You can expect to talk about projects that you have worked on in the past and ask any questions about the team & role.\n\n* Technical Interview 1 (60 minutes): The purpose of this interview is to assess your skills in Machine Learning and related mathematics.\n\n* Technical Interview 2 (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring.\n\n* Meeting with VP of Engineering (30 minutes): This interview is a combination of technical and cultural fit assessment. You will cover the technical experience and the skills that you brinand have an opportunity to ask any questions about the team’s culture or vision.\n\n* Culture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values\n\n\nBase Salary\n\nUS Residents: $115,200-$208,800/year\n\nUK Residents: £96,400-£144,000/year\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Senior, Engineer and Backend jobs that are similar:\n\n $65,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States

Whilst it is possible to run completely "server less" these days, that isn't always practical for all applications. Thus we still run a moderate cloud stack on the Google Cloud Platform. As you can see in the description of our stack, we use Hashicorp's tools for deployment. That means a Consul + Vault cluster, and Nomad to schedule (container) jobs. That actually runs stable without too much maintenance. Most of the work is in improving the experience of other developers, and making it easier for them to do the things they need to do on the operations side.\n\nFor example, we use Terraform to control and set up our resources. However that doesn't mean that it is clear for everyone what to use and how to tie that together. Modularizing and documenting is key here. Also, we want to enable continuous integration here, so everyone can see what the effect would be of their changes, without giving everyone the necessary credentials to the whole stack.\n\nThe rest of the team will look to you for advice on how to deploy their service, how to keep sight on its metrics and errors. Note that you are probably the one with the most knowledge, we do rotate on-call duties with the whole team.\n\n\n### Compensation\nThe envisioned salary range for this position is $50k-$80k per year (excluding 8% holiday pay), depending on experience. Besides that we offer Stock Appreciation Rights and a 4% learning budget. You’ll get an Apple Macbook Pro (M1) to work on.\n\n\n### About You\nAs important as coding itself however is your attitude towards colleagues and learning. We are looking for someone who is eager to improve, not too shy to ask any type of question and who can communicate well in writing. The reason for this is that we work remotely a lot (we did quite so before corona, but now practically 100%).\n\nYou are eager to solve complex problems in a sustainable and pragmatic way. You don’t shy away from calling out possible pitfalls or infeasible plans. On the other hand you are also solution oriented, and helpful towards people who don’t understand code.\n\nMore information on who we are and what we do can be found [here](https://engineering.solarmonkey.nl/jobs/2021-11-platform-lead/#_details).\n\n### Requirements\n- You have experience managing a cloud platform (GCP/AWS/OpenStack) from code.\n- You are proficient in Python (or another server-side language like Go or Ruby, and willing to learn Python).\n- You can design a "stack" for a new service so it is scalable and trustworthy.\n- You have experience with container based deployment.\n- You are able to work with a diverse group of people. You’re not a rock star or code-ninja, you’re a human, of some form 🙂.\n- You can clearly outline your thoughts about a technical solution in written form (and diagrams are always a bonus!).\n- You actively engage with others to optimize processes and reduce bottlenecks.\n- You are able to pick up new things quickly.\n- You want to work 32 to 40 hours a week.\n\n \n\nPlease mention the word **ENTICING** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4yNDM=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $50,000 — $80,000/year\n
\n\n#Benefits\n 📚 Learning budget\n\n
\n\n#Location\nRemote - Europe / CET

# What is the job?\n\nAs a DevOps Engineer at Radix, you will lovingly maintain our (your!) virtual infrastructure, while supporting the needs of our collection of community node runners to ensure smooth network operation in a variety of customer environments.\n\nYou will begin in familiar territory, performing care and feeding for dozens of virtual machines while gathering performance data and tuning for the CPU/memory/disk sweet spot which best balances performance and cost. You’ll plan and implement a network monitoring and alerting system, so that we know when things are going awry and can take action.\n\nAfter you have a handle on how to keep things running smoothly, you will serve as the primary point of contact with our community node runners, devising best practices for running Radix nodes on a variety of cloud platforms and bare metal servers, and working with our technical writer to fully document those practices. Acting as tier one support, you will respond to raised issues and track them to resolution, while learning from customer experiences to feed suggestions back to our internal DevOps, QA, and Network teams. You will help design, and participate in, our on-call rotation process, to ensure that someone from Radix is always available to investigate a disruption in service.\n\nAlong the way you will establish the operational rulebook on how environments are run at Radix, handle some sysadmin-adjacent problems relating to which employees can access what, and form lifelong bonds with a team of incredible people\n\n#What are we looking for?\n\n* You have maintained production systems on virtual infrastructure, and you possess a healthy collection of war stories from past disasters.\n\n* You have a wealth of knowledge about Docker which you never get to use at parties.\n\n* You’re handy with an assortment of scripting languages, ideally Python or Bash.\n\n* You have a deep-seated need to automate things. The idea of doing a repeatable process manually is abhorrent to you.\n\n* You’re patient when dealing with others. You’re a good listener, and happy to be a teacher when needed.\n\n* You are a tenacious sleuth, able to persistently research and reason about difficult-to-reproduce problems until you have brought them to a satisfactory resolution.\n\n#What do you need?\n * Min 3 years experience in a DevOps role\n\n* Production experience with cloud providers such as AWS, GCP, and Azure (We use AWS)\n\n* Strong familiarity with Docker\n\n* Experience working with logging, monitoring and visualization tools such as Prometheus, Grafana, and Elastic Stack\n\n* Hands on experience with a scripting language\n\n* Comfortable with at least one infrastructure-as-code tool, such as Ansible, Terraform, or Puppet\n\n* Comfortable configuring and managing at least one popular Linux distribution.\n\n* Things That Will Really Help You Stand Out\n\n* Proven history of managing clustered/distributed environments\n\n* Proven history of node running at scale for any blockchain/distributed ledger\n\n* Have experience with Kubernetes (as well as Docker)\n\n#Who are we? \nAt Radix, we're a team of like-minded thinkers who have long been convinced that we're living in the earliest stages of a global financial revolution. This revolution is being fuelled by decentralized finance (or DeFi for short), which is enabling an assortment of pioneering developers and entrepreneurs to re-invent almost every financial product that is currently traded and invested in traditional markets, without requiring central authorities or siloed infrastructure. DeFi has captured a great deal of attention and investment in the crypto-aware niche, growing assets under management from $1 billion to $40 billion in less than a year. Impressive as its growth has been, its current market size isn't even a rounding error on the over $111 trillion held in traditional finance. We're focused on what it will take to go from billions to trillions.\n\nRadix went back to first principles to come up with the right technical solution—the first layer-one protocol built specifically for mainstream DeFi—and we have already tested out at over 1 million transactions per second. We're keenly aware that the need for an infinitely scalable platform is only one prerequisite among many for mass adoption, and we're also blazing new ground in the areas of purpose-built developer tools, user experiences, and regulatory integration.\nWe have forged a path deep into the future of what distributed ledger technology is going to look like and we need you to come and be part of the team that is making that happen right now.\n\nIf this job sounds like it was made for you, then please apply directly via the link or email [email protected] for more information. \n\n \n\nPlease mention the words **SIEGE FRAME LOYAL** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4yNDM=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $60,000 — $120,000/year\n \n\n#Location\nWorldwide

\nThe Brave New Software Project seeks an experienced devops engineer to help fight censorship around the world.\n\nYou would help maintain and expand the cloud-based infrastructure behind the Lantern suite of anti-censorship, cryptocurrency and peer to peer networking applications. Experience with Linux/UNIX administration, Python and SaltStack or other configuration management tools (such as Ansible) strongly preferred, experience with network configuration and operations, systems and performance monitoring and logging (like Prometheus, Stackdriver, Sentry, Firebase Crashlytics, etc), cloud VPS providers like AWS, Digital Ocean and Vultr, and Go programming experience are a plus. Experience with Go and Heroku are also a plus.\n\nTeam Lantern is a small, agile team that works to keep the Internet open to people all over the world. Our structure is flat, all engineers report to the CTO, and we develop our products through collaboration and consensus rather than decree. Although each of us focuses on some specific areas, we wear many hats, need to be able to jump in on a variety of things and tend to move around between focus areas over time, so flexibility and curiosity are key.\n\nWe operate thousands of servers all over the world, millions of people use the stuff that we build, we work on our own schedules and take vacations seriously. Because of what we do, we face well funded adversaries who constantly adapt in their quest to break our software and the internet itself. We counter that threat by collaborating with interesting people from the internet freedom and open source communities to incorporate, refine and pioneer the latest countermeasures.\n\nIf you’re excited to tackle thorny social problems with software, or if you’re just an experienced engineer who thinks they might be ready to tackle a new kind of challenge, we want to hear from you.\n\nBrave New Software provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law.\n\nWe are committed to building a diverse staff and strongly encourage applications from candidates who may be people of color, disabled, gender and sexual minorities, and other disadvantaged backgrounds.\n\nHelpful Buzzwords\n\nLinux, UNIX Saltstack, Ansible, Chef, Puppet, Terraform Python, Go, Clojure, Rust Amazon Web Services (AWS), Digital Ocean, Vultr Redis Prometheus, Stackdriver, Firebase Crashlytics, Sentry Networking and network programming (HTTP, SSL/TLS, TCP/UDP, Internet Protocol, DNS, BGP, IPSec, Wireguard, VPN protocols) \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Engineer, Amazon, Firebase, Cloud and Python jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nREPAY is looking for an experienced Senior Site Reliability Engineer to be part of our Agile and growing Technology team in expanding our core payment processing platform and products within the consumer finance industry.  Work in a small team, where you will have an immediate and measurable impact on our fast-growing business by helping us reach the next level and stage of growth. Your expertise building and managing scalable cloud hosted systems with open source components and tools will be critical in this role. \n\nYou’ll be responsible for:\n\n\n* Working with Terraform, Kubernetes, AWS, Jenkins, Packer, Envoy, Gloo, Bash, Go and Python on a daily basis\n\n* Playing a key role as a Site Reliability Engineer where you will be responsible for the overall success of product/solution deployment including designing automated installations, maintenance of stable production environments and on-time production releases.\n\n* Building tooling for self-service for developers to facilitate a culture of DevOps across the entire development org and not just a DevOps team\n\n* Continuously hone and improve our technology stack to keep up with the state of the art\n\n* Participating in company’s off-hours on-call rotation program\n\n\n\n\nBasic Skills & Requirements\n\n\n* 6+ years of experience building highly available systems and supporting SaaS cloud-based infrastructure\n\n* Experience with terraform, packer, Kubernetes or other Infrastructure/Configuration-as-code tooling\n\n* Experience using at least one scripting language such as Python, bash, PowerShell or similar\n\n* Experience deploying to cloud-based technology (AWS)\n\n* Experience with continuous integration (CI/CD) and automated build tools such as TeamCity and Jenkins\n\n* Ability to tackle problems both at large scale and the small scale\n\n* Good understanding of application/infrastructure security\n\n* Strong communication skills; ability to communicate with distributed teams\n\n\n\n\nPreferred Skills & Requirements\n\n\n* Good understanding of Payments processing and/or developing Payments products\n\n* Familiarity of PCI compliance\n\n* BS in Computer Science, Software Engineering, Computer Engineering, or equivalent experience\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Admin, Senior, Engineer, Sys Admin, DevOps, Finance, Cloud, Python and SaaS jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nPlatform.sh is a groundbreaking hosting and development tool for web applications. We’re a European VC-Backed scaleup with a host of blue-chip Enterprise clients and a string of awards and grants. To reinforce our technical prowess, we are looking to grow our engineering team. If you’re looking for an exciting, high-growth opportunity with an award-winning, cutting-edge company, this could be just the job for you.\n\nWe run dozens of cloud regions all over the world with a mix of clients from individual developers running small development clusters, to the biggest companies on earth that run some of their critical apps on us.\n\nThe company is fully distributed and remote first, with a strong accent on diversity and inclusion in all of its dimensions (gender, sexual orientation, race, country of origin - you have it, we want it). You won’t find any ableism of ageism either. \n\nFor its groundbreaking PaaS solution, https://platform.sh is looking for a Pythonian Cloud Engineer with a taste for Go, good Linux system understanding, and a real hunger for the challenges of building robust, distributed systems.\n\nPlatform.sh is a PaaS shrouded in a lot of black magic (we can consistently clone a whole running cluster, with its state, databases, indexes in a matter of seconds). We want to get this down to the hundreds of milliseconds domain. Interested? There is more...\n\n\n* Our external API is pure Hypermedia REST + oAuth on top of Pyramid. It mechanizes the Git layer and needs more features.\n\n* We can consistently generate from the same manifest a Docker container, an LXC one, or VM disk images (AWS, Azure, Google Cloud, OpenStack).\n\n* We probably have the highest container density in the industry. We need to get it higher.\n\n* We have been working hard on a fast, resilient, and cost-optimized observability framework in order to know how the system behaves, now we want to better predict how it will behave. \n\n* We support any Python, Ruby, NodeJS, PHP, Java, and .NET, Elixir, of course, Elixir, time to roll-out Rust, somebody needs to push that button.\n\n* We need to have more auto-healing on the high-availability clusters. We need more performance out of our multi-protocol ssh proxy. We need work on our Ceph Implementation; we have strictly cool things to do on the Edge. We need… great ideas on how to make Platform.sh even better. Interested? Join us!\n\n\n\n\nThis is a remote position and very occasional travel to cool places like Paris, France, may be required.\n\nSkills & requirements:\n\nRequired:\n\n\n* Be a really really good dev that likes testing, understands how an OS works, knows networking, how git works, and the constraints of a distributed system.\n\n* Be proficient in Python or in Go (expertise in either or both, highly appreciated). But if you are a sufficiently fast learner and got a couple of other languages under your belt (such as Lua, Rust, Erlang, Ruby, or C …), we might bite.\n\n\n\n\nWould be really great if you had:\n\n\n* Experience with C / C++ (we contribute to a bunch of upstream projects, like LXC) is a plus; love of C or C++ not required\n\n* Great knowledge of Git\n\n* Good Networking background (routing/protocols)\n\n* Good grasp of practical security and cryptography\n\n* Experience with other programming languages (e.g. Rust, Haskell, Java, Javascript, Ruby, Common Lisp, PHP)\n\n* Good knowledge of how the Web works (hacking Nginx with Lua a plus). You may want to brush up on HTTP before the interview\n\n* Good understanding of how database systems and search engines work\n\n* A good notion on distributed systems (consensus protocols like Raft/Paxos, eventual consistency models, gossip protocols)\n\n* Mad Debian Skills. Sporting a Debian plaid cloth during the interview is not frowned upon\n\n\n\n\nTo be clear so you are not surprised in the technical interview, this job is very much more for a systems engineer, rather than an application developer. So knowing about system calls is important, while knowing Django, not so much.\n\nA bit about seniority, diplomas, and experience: \n\n\n* We don’t care, at all, about diplomas, you have a Ph.D. in computer science? That is lovely! We love science. You are a self-taught hacker whose main deployment target for years was Arduino? You could very well be a match.\n\n* We have senior juniors and junior seniors. Everybody is. Some of us have been coding for multiple decades. Some of us are fresh out of school. We expect you to have some very strong points. But we know everybody has continents of ignorance; that’s fine. As long as you love learning; you will be surrounded by people who love to share what they have learned.\n\n* Specifically, there is a catch-22 for “seniority requirements” for underrepresented candidates. Try us. We will go the extra mile (more probably a kilometer btw). We will take into account any valuable candidate with less experience in DevOps and System roles if needs be. \n\n\n\n\nA bit about the interview process: \n\n\n* It is usually quite short. Two or three remote interviews. There will be no whiteboarding. Few if any algorithmic questions (unless you love those we would not like to frustrate the preppers).\n\n* The people interviewing you are going to be people you may end up working with. The interviews are going to be a bit “all over the place” with a bunch of detailed questions. The point is less to get the right answer than to give a glimpse of your “technical intellectual world”. You do not remember by heart the flags on a TCP packet? Well, neither do we, but it is a good conversation starter.\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Engineer, DevOps, C, Git, Python, API, Travel, Senior, Junior, Nginx and Linux jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nConducto enables developers and data scientists to write, execute, visualize, and debug pipelines. We strive to empower users to go from pipeline idea to massively scalable and easily debugged execution with minimal friction. Conducto works equally well for quick exploratory data science research pipelines and mission-critical production devops pipelines. It scales seamlessly from a handful of tasks to millions. Almost every developer and data scientist needs to create pipelines, and we believe that no currently available tool solves that problem as generally or elegantly as Conducto.\n\nPrior to forming Conducto, we spent 10 years building the software that powered one of the most successful algorithmic trading teams in the world. We were really, really good. We succeeded because we built a team of technically strong, driven generalists who were excited to solve challenging problems. We have re-created that dynamic with our core team at Conducto, and are excited to grow the team.\n\nWe need motivated developers who can think critically and are not afraid to learn. You don't need to be a domain expert in any area, but you do need to be rock solid in Python. This role primarily deals with Python, Docker, Linux, and AWS.\n\nOur team is currently spread across the United States, from the East Coast to Hawai`i, and we have been an all-remote company since we started.\n\nIf you are excited to:\n\n\n* work with a team of solid and driven generalists\n\n* build a highly available web app with non-trivial cloud infrastructure\n\n* find the balance between building beautiful abstractions and actually deliver a product\n\n* join a fast-growing and exciting startup\n\n\n\n\nthen we encourage you to apply to join us. \n\nWe don't care where you went to school or what companies you have worked at. We aren't impressed by big names and buzzwords. We care about finding people who are great developers, are passionate to build this company, and will lean-in to a warm and collaborative company culture. We hope you will be a good match for the team.\n\nApplication Process:\nWe have to be very selective as we do not have the bandwidth to interview many candidates. So, if you apply and your resume and cover letter pass our initial review, we will invite you to take an online coding challenge. We will be interviewing a small number of candidates based on the results of that challenge.\n\nWe encourage you to try out Conducto and welcome pipeline submissions if you do take the time write one. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Cloud and Python jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nConducto enables developers and data scientists to write, execute, visualize, and debug pipelines. We strive to empower users to go from pipeline idea to massively scalable and easily debugged execution with minimal friction. Conducto works equally well for quick exploratory data science research pipelines and mission-critical production devops pipelines. It scales seamlessly from a handful of tasks to millions. Almost every developer and data scientist needs to create pipelines, and we believe that no currently available tool solves that problem as generally or elegantly as Conducto.\n\nPrior to forming Conducto, we spent 10 years building the software that powered one of the most successful algorithmic trading teams in the world. We were really really good. We succeeded because we built a team of technically strong, driven generalists who were excited to solve challenging problems. We have re-created that dynamic with our core team at Conducto, and are excited to grow the team.\n\nWe need motivated developers who can think critically and are not afraid to learn. You don't need to be a domain expert in any area, but you do need to be rock solid in Python. This role primarily deals with Python, Docker, Linux, and AWS.\n\nOur team is currently spread across the United States, from the East Coast to Hawai`i, and we have been an all-remote company since we started.\n\nIf you are excited to:\n\n\n* work with a team of solid and driven generalists\n\n* build a highly available web app with non-trivial cloud infrastructure\n\n* find the balance between building beautiful abstractions and actually deliver a product\n\n* join a fast-growing and exciting startup\n\n\n\n\nthen we encourage you to apply to join us. \n\nWe don't care where you went to school or what companies you have worked at. We aren't impressed by big names and buzzwords. We care about finding people who are great developers, are passionate to build this company, and will lean-in to a warm and collaborative company culture. We hope you will be a good match for the team.\n\nTo apply:\nWe have to be very selective, as we do not have the bandwidth to interview many candidates. And, we appreciate that you do not want to waste your time either. So, as part of your application we ask you to write a Conducto pipeline. This serves the dual purpose of allowing us to see an example of your coding, and it gives you a chance to see if Conducto is a tool that you are excited to work on. We will be looking for clean and elegant code that generates an interesting pipeline. Supply the URL of a public git repository with your pipeline code in the application. Make sure your repo includes a README detailing how to run your pipeline.\n\nSuggested topics:\n\n\n* Write a data pipeline.\n\n* Parallelize an algorithm.\n\n* Code any CI/CD pipeline.\n\n\n\n\nYou do not have to follow these suggestions; feel free to be creative. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, DevOps, Cloud and Git jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

Are you a hybrid of a DevOps and Django Developer? Do you love building high-traffic, SaaS APIs? Do you enjoy making infrastructures are safe, secure, scalable, and available? Do you love performance and making websites run faster? Does making complexity simple excite you? Do you have a knack for teamwork with people from different backgrounds and skills?\n\nIf you answered yes to these questions, we are sure this position will sound super exciting to you. 🤩\n\nWe are looking for a friendly person in love with SaaS, IT, DevOps, Python, Django, and web performance to **join our SaaS team**. 🚀\n\nKeep reading for more details! 📝\n\n\n# Become Our New SaaS Developer!\n\nIn your job as a SaaS Developer, your primary focus will be multi-faceted:\n\n* **monitor and maintain our SaaS infrastructures, APIs, and websites**\n* collaborate with the SaaS team on new features, bug fixes, optimization, and continuous improvement initiatives\n* build new dev testing environments, productivity tools, and pipelines\n\n**WP Media** is the French company behind successful WordPress plugins like WP Rocket and Imagify. WP Rocket is the premium **caching plugin for WordPress** used by +1,000,000 websites and +120,000 customers worldwide. Our plugin makes sites go at the speed of light in just a few clicks. Imagify is our **free image optimization service**, including a free WordPress plugin: we have already optimized more than 1,000,000,000 images! 😲\n\nYou will **join our remote, global Development team**, which is spread across the U.S., Canada, France, Portugal, Poland, and Romania. To facilitate this international teamwork, you live or work in a **time zone between UTC+2 to UTC-7**. We are so curious to know which new country will be added to our distributed team map! 🌍\n\n\n# What You Will Be Doing:\n\nHere is a list describing the tasks involved in this position (*do you happen to like making lists? So do we!*):\n\n* Make sure our SaaS infrastructure is safe, secure, fast, and always available for our customers\n* Use your DevOps superpowers to build task bots, CI/CD pipelines, Docker images for our SaaS and Product development test environments, Terraform configurations, our SaaS infrastructure, and dev productivity tools\n* Contribute to building, testing, and maintaining our APIs including new features, optimizations, bug fixes, and continuous improvement initiatives\n* Scope, contribute to, and collaborate on technical solutions and specifications\n* Review pull requests to ensure each meets our standards, achieves the desired feature epic, story, or fix outcome, and does not cause side-effects\n* Seek opportunities to make our SaaS APIs and infrastructure run faster, be easier to maintain, and be more reliable, robust, and scalable\n* Collaboratively **contribute to our code libraries, code reviews, process improvements, and technical decisions**.\n\nDuring this journey, you will get **cross-training and growth opportunities** by working with your fellow Dev teammates on internal projects.\n\n\n# What Do You Need To Excel at This Job:\n\n**Being Yourself.**\n\nThe WP Media team is diverse and composed of people from all over the world. **Respect**, **collaboration**, and **inclusivity** are some of our core values (more on this below). Every day of work is an exciting opportunity to get in touch with fantastic people who will enrich your cultural and professional background.\n\n**Proficient knowledge of English.**\n\nEmpathetic and collaborative communication is key: you are comfortable writing, speaking, and listening in English with technical and non-technical teammates.\n\n**Passion and humbleness.**\n\nYou are a skilled, passionate, and humble developer who is friendly, collaborative, and supportive. Solving problems and building solutions that help people are the values that make your work special and rewarding.\n\n**Considering how your work impacts others.**\n\nYour code is a pleasure to use, read, and understand. When working in the codebase, you leave things better than when you found them. You value personal growth and constructive feedback. People feel good around you because you love sharing what you know while continuously improving yourself, remaining thoughtful and flexible in your approach.\n\n**Proven SaaS infrastructure experience.**\n\nYou bring proven experience in building, improving, optimizing, securing, scaling, and maintaining SaaS infrastructures. You know sysadmin on Linux-based web servers. You have solid experience in VPS and maybe even Google Cloud or AWS. You can make technical decisions on how to improve our infrastructure including evaluating managed services, security, reliability, and scalability.\n\n**Love DevOps.**\n\nYou love building tools, pipelines, and images that help your teammates be more productive. You have experience in writing shell scripts for pipelines and task bots. You configure infrastructures using Terraform. You leverage Ansible to automate the build process. You know how to build different Docker images for mashup testing environments.\n\n**Skilled Django API Developer.**\n\nYou are a skilled Django API Developer. You’ve built, maintained, and continuously improved APIs. You follow agile processes in collaborating during sprints with the rest of the team.\n\n\n*Do you want to know a few other things we appreciate about our candidates? Don’t worry if you don’t have experience in any of these areas. We’ll teach you.*\n\n* **Previous freelance or remote job experience.**\nSlack will be your virtual office, where all the life of the company takes place.\n\n* **Know the web performance.**\nWe will train you for this, and we will always have your back, don't worry! But if you already have experience with web performance optimization, let us know. 😉\n\n* **The involvement in the developer community.**\nWe support our teammates to attend and/or speak at conferences, and to volunteer within the community.\n\n* **Love for cats or Corgis!** 😸🐶\nWhat would our working days be without our four-legged friends?\n\n\n# What Else You Should Know About Our Company: WP Media\n\nFounded in 2014 in the beautiful Lyon, France, [WP Media](http://wp-media.me/) is an equal opportunity employer with a distributed team of +20 teammates living around the world.\n\n\n\n\n# Do We Share the Same Values?\n\n**Mutual respect**, **collaboration**, and **inclusivity**.\n\nThese are the fundamental values that support our life as a team.\n\n**Healthy balance between work and private life.**\n\nWe encourage our employees to enjoy their family and their hobbies with flexible working hours and minimum vacation policy (you should take a *minimum* of 5 weeks per year: really, we don’t count them!).\n\n\n\n**We care about the work you do, not about the hours you sit at your desk.**\n\nYou can organize your working day with flexible working hours. There are no time cards to stamp, just customers to make happy and friendly teammates to work with!\n\n**Transparent culture.**\n\nWe have a [public salary grid](https://wp-rocket.me/blog/our-salary-grid-is-now-public/). Once a year, when the company does well, we **share our profits** with the team in the form of bonuses.\n\n**We like to see each other in person whenever possible.**\n\nEvery year, we organize a trip with the whole team and **spend a week of coworking and fun activities together**.\n\nTo give you an idea, so far we have traveled to Spain, Portugal, and Mexico:\n\n\n\n\nNow that we've told you so much about us, it's your turn. 😉\n\nLet us know why you would like to become our **SaaS Developer** and why you think you are the person we are looking for.\n\nWe can’t wait to receive your application! 🌟 \n\nPlease mention the words **CHUCKLE JOKE FORWARD** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4yNDM=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Python, SaaS, Developer, Digital Nomad, English, Cloud, API and Excel jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 🌎 Distributed team\n\n
\n\n#Location\nWorldwide

\nREPAY is looking for an experienced Senior Site Reliability Engineer to be part of our Agile and growing Technology team in expanding our core payment processing platform and products within the consumer finance industry.  Work in a small team, where you will have an immediate and measurable impact on our fast-growing business by helping us reach the next level and stage of growth. Your expertise building and managing scalable cloud hosted systems with open source components and tools will be critical in this role. \n\nYou’ll be responsible for:\n\n\n* Working with Terraform, Kubernetes, AWS, Jenkins, Packer, Envoy, Gloo, Bash, Go and Python on a daily basis\n\n* Playing a key role as a Site Reliability Engineer where you will be responsible for the overall success of product/solution deployment including designing automated installations, maintenance of stable production environments and on-time production releases.\n\n* Building tooling for self-service for developers to facilitate a culture of DevOps across the entire development org and not just a DevOps team\n\n* Continuously hone and improve our technology stack to keep up with the state of the art\n\n* Participating in company’s off-hours on-call rotation program\n\n\n\n\nBasic Skills & Requirements\n\n\n* 6+ years of experience building highly available systems and supporting SaaS cloud-based infrastructure\n\n* Experience with terraform, packer, Kubernetes or other Infrastructure/Configuration-as-code tooling\n\n* Experience using at least one scripting language such as Python, bash, PowerShell or similar\n\n* Experience deploying to cloud-based technology (AWS)\n\n* Experience with continuous integration (CI/CD) and automated build tools such as TeamCity and Jenkins\n\n* Ability to tackle problems both at large scale and the small scale\n\n* Good understanding of application/infrastructure security\n\n* Strong communication skills; ability to communicate with distributed teams\n\n\n\n\nPreferred Skills & Requirements\n\n\n* Good understanding of Payments processing and/or developing Payments products\n\n* Familiarity of PCI compliance\n\n* BS in Computer Science, Software Engineering, Computer Engineering, or equivalent experience\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Admin, Senior, Engineer, Sys Admin, DevOps, Finance, Cloud, Python and SaaS jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nUs\n\nWe are a product minded innovative and ambitious company thriving in the DevOps cloud industry.\n\nWe are a startup in hyper growth mode and with a global reach. \n\nWe have hired 100 people over the last 24 months, worldwide.\n\nAs we rapidly scale, we need to keep pace with high growth needs for hiring, developing employee performance and learning capacity while providing a differentiated work environment.  \n\n\nYou\n\nYou are a technical trainer or tech recruiter with real-world, hands-on technical experience and knowledge of modern cloud architectures and virtualization technologies. \n\nYou are forward thinking, always aiming for enhancements and efficiency. \n\nThis is a role creation that will allow you to combine your passion for teaching and technology. This new role will drive significant impact and have high visibility internally.\n\nYour primary focus will be to offer a great candidate experience:\n\n\n* tailor the job descriptions to convey our company mission and appeal to the type of candidates we want\n\n* build top notch scorecards\n\n* undertake all technical assessments, use critical thinking, active listening and emotional intelligence to assess candidates\n\n\n\n\n\nOn an on-going basis, you will constantly learn about our product new features and innovations to constantly update your onboarding content. \n\nAs you are close to the engineering teams and understand the specificities of each position, you will actively build, customize and deliver technical onboarding content for all our engineering teams (developers, DevOps, architects, product, …) to facilitate and ensure successful experience for newly appointed engineers. \n\nYou will be in charge of developing & maintaining technical training content (screen sharing exercises, presentations, and accompanying materials).\n\n\nKeys to being the right fit for this position\n\nFlexible and capable of progressing quickly in a fast-paced environment\n\nTraining or mentoring experience for SaaS technology products - or self-starter with proven success taking ownership of training projects\n\n3+ years of hands on experience in tech recruitment or training, development, system administration, project management, consulting or training - technical degree or relevant work experience is required\n\nDeep understanding of platform solutions Linux IaaS, SaaS, PaaS, Security, Storage, networking, OSS tools and emerging computing trends\n\nYou don’t need to be a top-notch developer yourself, but you do need to be able to assess a baseline. So we expect you to have a good grasp of at least a couple of programming languages; Python and Go Lang would be great. But we’d really appreciate someone with some C skills, maybe a bit of Rust and potentially a good amount of fondness for functional languages\nExcellent communicator with great interpersonal skills\n\nExcellent written and spoken English \n\nCollaborative attitude\n\nCapacity to work with highly international teams\n\nRigorous and reactive \n\nAutonomous and proactive\n\nYou can be based anywhere (but preferably working Americas’ or EMEA timezone though)  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Education, Teaching, DevOps, C, Cloud, Python, SaaS and Linux jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nDotscience is hiring remote back end software engineers to help tackle some of the considerable challenges ahead in developing AI for production use. We're mainly working in Go, plus Python and Node.js and we'll support your learning if you need to cross train.\n\nOur end-to-end machine learning toolset helps our customers stabilise and scale their AI initiatives; from development to production, we help them track full evolution of models and metrics throughout the lifecycle. Think 'DevOps for ML'.\n\nWe're hiring someone to help architect and implement data science automation solutions and tooling. We’re building from the ground up, inheriting zero legacy code. Collaborating with our product and design teams, you'll develop a product which is robust and scalable for cloud and on-premise use. You'll also help us to integrate with, and to automate, most of the major AI/ML ecosystems as we build out our tech\n\nWe'll listen to your opinions and actively encourage you to make recommendations as to how we can improve our products.\n\nNow is an exciting time to join us; we're hiring a range of skills across the stack and can potentially shape your role in ways that build upon your strengths. \n\n\nExample first projects\n\n\n* Building features on the Dotscience platform that enables data scientists to create, collaborate on and to manage their workflows\n\n* Building API’s and SDK’s to support data pipelines and model deployment\n\n* Scaling the platform to support large and complex data science workloads\n\n* Maintain an operational stack and infrastructure for back end services\n\n\n\n\nWe're looking for\n\n\n* Strong back end coding skills, using a statically typed programming language - we use mainly Go (Golang), plus Python and Node.js, and can support your transition and learning\n\n* A technical understanding of building AI/ML pipelines in research or production environments\n\n* Familiarity with Containers from an architectural perspective\n\n* Familiarity with a scripting language, such as Bash, Perl, Python, Ruby, Shell etc.\n\n* Solid understanding of Computing or AI - gained from practical application, or through education \n\n* Familiarity with the principles of Agile, automated testing and continuous delivery\n\n* Clear desire to learn, to improve and to share knowledge with colleagues\n\n* Considering senior to principal level remote back end jobs such as: Go Developer | Golang Developer | Python Developer | Node.js Developer | Back End Engineer | Lead Engineer | AI Tools Engineer | Machine Learning Developer | Artificial Intelligence Engineer | Data Scientist | etc.\n\n\n\n\nCurrent stack - we'll welcome your influence\n\nGo (Golang) | Python | Node.js | PostgreSQL | Docker | Kubernetes | AWS | GCE | GitHub | GitLab | Tensorflow\n\nSalary and benefits\n\n\n* £60,000 to £80,000+ negotiable - we're keeping an open mind\n\n* Flexible and family friendly working environment - no core hours, work at the times that suit you\n\n* Remote workers package, including fully expensed work travel costs\n\n* 25 days holiday + UK national/public holidays/local benefits | private medical cover | life cover/income protection insurance | group personal pension/contributory pension | conference involvement encouraged | open source projects include Tensorflow for Dotscience and Jupyterlab plugins for Dotscience\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Engineer, Developer, Digital Nomad, Cloud, Python, Travel, Senior, Golang and Medical jobs that are similar:\n\n $70,000 — $122,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nPlease note remote candidates must be living and eligible to work in the USA. Max salary for remote is $150K + performance bonus\n\nOnsite locations can be San Francisco (CA), Des Moines (IA), or Champagne (IL)\n\nWe're looking for a Senior DevOps Engineer to join our growing team. You will be an integral part of Granular's success, and this is a unique opportunity to accelerate your career in a fast-paced environment with a team full of passionate, committed people who are excited to transform agriculture!\n\nWhat You’ll Get To Do:\n\n\n* Partner with other engineers to identify the optimal cloud infrastructure, networking and storage design for each solution\n\n* Develop tooling to enable product development teams to build and deploy software as quickly and efficiently as possible\n\n* Collaborate daily with fellow team members to drive best practices and identify innovative strategies for successful delivery\n\n\n\n\nOur Ideal Candidate:\n\n\n* Experience designing and building tooling and infrastructure for cloud platforms (AWS, Azure, GCE or similar).\n\n* Experience with Unix/Linux operating systems internals and administration\n\n* Strong programming expertise in Python (preferred) otherwise Go or Ruby\n\n* Experience with deployment and orchestration technologies - Kubernetes, Docker, Jenkins, Salt, etc\n\n* Demonstrated ability to implement robust, effective, and high quality solutions\n\n* Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive\n\n* Experience automating manual or time consuming processes\n\n* Experience managing Kubernetes clusters is highly preferred\n\n* Experience orchestrating build/deployment of complex, distributed applications is preferred\n\n* Experience with automated testing frameworks and methodology is preferred\n\n\n\n\nPerks and Benefits:\n\n\n* Upward mobility. We are growing and need talent who can take on increasingly challenging and rewarding roles\n\n* Generous Vacation\n\n* 401k Matching Program\n\n* Employer sponsored Medical, Dental, and Vision\n\n* Vision, Dental and Dependent Care FSA\n\n* Family, Maternity and Paternity Leave\n\n* Learning and Development Programs\n\n* Open floor plan and dog-friendly offices\n\n\n\n\nAbout Granular:\n\nMore than 7 billion people depend on farms for healthy and affordable food. By 2050, the global population will reach 9.4 billion and farmers will need new ways to deliver on this demand.  They’ll be seeking options that are economically viable and that will help them remain environmentally sustainable. Granular's software meets this need, making farmers more efficient.\n\nGranular combines the leadership and innovation of experienced entrepreneurs, advisors, and investors with the meaningful insights of farmers, agronomists, data scientists and engineers.  \n\nOur internal team has the focused, innovative business and technical acumen that defines Silicon Valley; this expertise has produced products including Granular Business, Granular Agronomy, AcreValue, and AgStudio.\n\nFounded in February 2014, and backed by leading VC’s like Andreessen Horowitz and Google Ventures, Granular is an independent subsidiary of Corteva, a spin off of DowDuPont™.  We currently have offices in San Francisco, CA, Champaign, IL, Johnston, IA, Cumming, GA and São Paulo, Brazil.  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Cloud, Senior, Engineer and Python jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nPlease note remote candidates must be living and eligible to work in the USA. Max salary for remote is $150K + performance bonus\n\nOnsite locations can be San Francisco (CA), Des Moines (IA), or Champagne (IL)\n\nWe're looking for a Senior DevOps Engineer to join our growing team. You will be an integral part of Granular's success, and this is a unique opportunity to accelerate your career in a fast-paced environment with a team full of passionate, committed people who are excited to transform agriculture!\n\nWhat You’ll Get To Do:\n\n\n* Partner with other engineers to identify the optimal cloud infrastructure, networking and storage design for each solution\n\n* Develop tooling to enable product development teams to build and deploy software as quickly and efficiently as possible\n\n* Collaborate daily with fellow team members to drive best practices and identify innovative strategies for successful delivery\n\n\n\n\nOur Ideal Candidate:\n\n\n* Experience designing and building tooling and infrastructure for cloud platforms (AWS, Azure, GCE or similar).\n\n* Experience with Unix/Linux operating systems internals and administration\n\n* Strong programming expertise in Python (preferred) otherwise Go or Ruby\n\n* Experience with deployment and orchestration technologies - Kubernetes, Docker, Jenkins, Salt, etc\n\n* Demonstrated ability to implement robust, effective, and high quality solutions\n\n* Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive\n\n* Experience automating manual or time consuming processes\n\n* Experience managing Kubernetes clusters is highly preferred\n\n* Experience orchestrating build/deployment of complex, distributed applications is preferred\n\n* Experience with automated testing frameworks and methodology is preferred\n\n\n\n\nPerks and Benefits:\n\n\n* Upward mobility. We are growing and need talent who can take on increasingly challenging and rewarding roles\n\n* Generous Vacation\n\n* 401k Matching Program\n\n* Employer sponsored Medical, Dental, and Vision\n\n* Vision, Dental and Dependent Care FSA\n\n* Family, Maternity and Paternity Leave\n\n* Learning and Development Programs\n\n* Open floor plan and dog-friendly offices\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Senior, Engineer, Developer, Digital Nomad, DevOps and Python jobs that are similar:\n\n $70,000 — $130,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nPotential for this role to be in other cities for the right candidate.\n\nExperian’s Technology team is seeking a talented Senior Cloud Infrastructure Engineer. This role is a hands on technical position responsible for designing and implementing common framework solutions in a cloud based environment. In the world of DevOps, infrastructure and code become one. This person will drive platform enhancements, enable automation/self-service and implement new solutions that enable DevOps capabilities. As part of the greater Technology Operations & Infrastructure team, this person will be responsible for supporting the end to end deployment of platform systems – from virtual networks, to servers, to application services for an e-commerce environment. \n\nResponsibilities: \n\n• Implement & build automation tools such as Jenkins, Puppet, and Python scripting for streamlined deployments & systems updates. \n• Creating monitoring capabilities & alerting for Technical Operations Center (TOC) team members. \n• Design & deploy cloud platform capabilities using AWS (full stack – network, load balancing, DNS, security, databases). \n• Implement infrastructure capabilities in an automated cloud world – such as backups, security tools, IAM, monitoring, etc. \n• Perform advanced technical troubleshooting for cloud & e-commerce environments. \n• Engineer automation tools and the continuous delivery process. \n• Work extensively with continuous integration systems and are able to translate that understanding into workable pipelines and tools. \n• Implement and support a multi-cloud/hybrid solutions for disaster recovery. \n• Enhance system performance and features on a regular basis for enhanced customer experience. \n• Lead technical operations projects from requirements to design to implementation to operations. \n\n• Bachelor’s degree in Computer Science, Engineering or similar field from an accredited four year university required. \n• 5+ years’ experience in a system administrator role. \n• Strong knowledge of the Dev Ops tool chain on Linux/windows platforms; Jenkins, Python/C++/Java, Ansible, Puppet, Confluence, git/tfs, Jasmine, chocolaty, cloud formation, etc. \n• Deploying automation solutions in a public cloud environment such as AWS. \n• Strong communication and collaboration skills across the enterprise. \n• Deployed applications in Amazon AWS, Google or Azure. \n• Migrated applications from on premise data centers to cloud service providers. \n• Proficiency in system design & architecture. \n• Fluency in Java or other object-oriented programming languages. \n\nWhats going on under the hood of Experian?\n\nFor Experian on the CSid side: \n\n\n* We are migrating from Rackspace to AWS: \n\n\n\n* Big visibility, big risk, big complexity, moving from manual to automated code.  (WOW)\n\n\n\n* We are looking as we migrate at Cost Optimization in AWS\n\n\n\n* Optimize DBs/EC2s/Storage choices\n\n\n\n* We are looking longer term to go MULTI-CLOUD (Next Gen Cloud)\n\n\n\n* Many complex changes again including breaking our Experian/EPS/CSid stacks down into MicroServices\n\n\n\n\n\n\n Tech Stacks for EPS/CSid\n\n\n* Php + Java + RESTful services\n\n* Python/JSON for AWS automation\n\n* Jenkins, Cloudbees (CI/CD components)\n\n* AppDynamics + Splunk + Nagios + DataDog = monitoring solutions\n\n\n\n\n We are also working on transforming teams into a Site Reliability model as well. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Engineer, DevOps, Amazon, Java and Python jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n