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

\n​Here at Shippo, we are the shipping layer of the internet and we consider ourselves to be one of the core building blocks of e-commerce.Our mission is to make merchants successful through world class shipping. With our products and solutions, we level the playing field by providing our customers with best-in-class solutions that otherwise wouldn’t be available to them. Through Shippo, e-commerce businesses, marketplaces, platforms and a variety of logistics infrastructure providers are able to connect to shipping carriers around the world from one API and dashboard. We provide our customers with the most competitive shipping rates, print labels, automated international documents, shipment tracking, facilitate the returns process and more.\n\n\nWe are seeking a highly skilled Principal Software Engineer with expertise in decomposing monolithic applications within a complex environment. The ideal candidate will lead an ongoing effort to break down our application into smaller, more manageable services while implementing best practices for testing, observability, and enhancing the developer experience. This role is crucial in driving the modernization and optimization of our software architecture to align with industry standards and improve overall system performance.\n\n\nShipping & handling responsibilities:\n\n\n- Lead the decomposition of a monolithic application into microservices or smaller components, optimizing for scalability and flexibility.\n- Drive the adoption of best practices for testing, including unit testing, integration testing, and automated testing to ensure high code quality and reliability.\n- Implement strategies for observability, monitoring, and logging to enable efficient troubleshooting, performance optimization, and proactive issue identification.\n- Collaborate with cross-functional teams to enhance the developer experience through streamlined processes, development tools, and documentation.\n- Up-skill and guide a team of engineers in software design principles, best practices, and modern architectures.\n- Stay updated on industry trends, emerging technologies, and best practices to continuously improve the software development lifecycle.\n\n\n\nDo you tick the ​​boxes​​?\n* 10+ years of experience in software development\n* Experience in decomposing an existing application into service oriented architecture\n* Extensive experience working in complex distributed architectures\n* Strong proficiency in software design principles, architecture patterns, and system decomposition strategies\n* Demonstrated expertise in testing methodologies, including test automation, test-driven development, and continuous integration/continuous deployment\n* Deep understanding of observability tools, monitoring systems, and logging frameworks\n* Excellent communication and collaboration skills to work effectively with diverse teams and stakeholders\n* Proven track record of implementing best practices and driving software modernization initiatives\n* Strong leadership skills with the ability to mentor team members and influence technical decisions\n* BS or MS degree in Computer Science or equivalent experience.\n\n\n\nBonus\n* Prior experience working or interacting with shipping and/or postal carriers\n* Experience integrating with APIs that use REST and/or gRPC protocols\n* Experience with Django and/or FastAPI.\n* Experience using Python and/or Golang in production at scale\n* Interest and experience in performance tuning, concurrency, microservices, security, and data analytics\n* Experience with messaging systems such as NSQ, Kafka, SQS and Celery\n* Experience with DevOps tooling such as Docker, Terraform, Kubernetes, CircleCI, GitHub Actions, ArgoCD, New Relic, PagerDuty, etc\n* Experience with AWS/Cloud services such as EC2, S3, DynamoDB, Lambda, Route 53, Cloud Formation, Cloudflare, IAM, etc.\n\n\n\nWhat's in the Shippo package:\n* Healthcare coverage for medical, dental, and vision (90% covered by the company, incl. dependents). Pets coverage is also available!\n* Take-as-much-as-you-need vacation policy & flexible working \n* One week-long company wide winter shutdown \n* 3 Volunteer Days Off (VTOs)\n* WFH stipend to set up your home office\n* Charity donation match up to $100\n* Dedicated programs, coaching, tools, and resources for your professional and career growth as well as an individual learning stipend for your personal and focused growth\n* Fun team in person time through our Shippos Everywhere program which includes regular team and company off-sites throughout the year as well as local Shippos gatherings\n\n\n\n\n\n$191 - $258 a year\n\nOur Compensation Shippolicy:\nWe believe compensation is a custom experience and are commited to fair and equitable compensation practices. The standard base pay range for this role is min $191k to a max $258k annual salary (standard range). We tend to anchor our offers in the mid point ($225k). Since we are focused on hiring Shippos Everywhere, we have 2 US pay ranges, a standard compensation range for the majority of the US and a standard +1 compensation range for those who live in areas where the cost of labor is higher, such as NYC and California.\nThe actual base pay is dependent upon many factors, such as: financial budgets, work experience, training, transferable skills, business needs, and market value. The base pay salary ranges are subject to change and may be modified in the future. Total compensation for this role will include, equity, medical, dental, vision and other benefits noted in our Shippos “package” section.\n\n\nSail through the process:\nHere at Shippo, we celebrate inclusivity and are committed to creating equal access to opportunities for people from all backgrounds, perspectives and geographies. These values define who we are and everything we do. All qualified individuals are encouraged to apply. If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at [email protected]\n\n\nShippos in the wild:\nOur people, much like the packages we help ship, are all over the world. This means, through our remote-first program, “Shippos Everywhere”, our roles can be based anywhere in the US with the exception of Delaware, Nevada, Ohio, Oregon, Hawaii, New Mexico and West Virginia and many roles can be based internationally.\nFor locations outside of the US and Ireland, the employment contracts are powered by Remote.com (all Shippo perks still apply - including equity!). What we want to emphasize is that you can be successful at Shippo regardless of location. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Django, Testing, DevOps, Cloud, API, Golang and Engineer jobs that are similar:\n\n $65,000 — $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
\n\n#Location\nUnited States

\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

\nWhat You’ll Do\n\n\n* Develop and implement network automation solutions using scripting languages and Infrastructure as Code to automate routine tasks, configuration changes, and troubleshooting processes\n\n* Utilize CI/CD tools to build and deploy networking Infrastructure as Code and network system configurations  \n\n* Monitor network performance, identify and resolve issues, and implement preventative maintenance measures\n\n* Troubleshoot, diagnose and resolve complex network problems, including hardware failures, software bugs, configuration errors, and platform/orchestration issues \n\n* Configure and maintain network devices like routers, switches, firewalls, and load balancers\n\n* Develop and maintain accurate and up-to-date network documentation, including diagrams, procedures, and policies\n\n* Implement and enforce network security measures to protect against unauthorized access and cyber threats\n\n* Assist in the planning, implementing, and testing of new network infrastructure and technologies\n\n* Coordinate with network equipment vendors and service providers to resolve issues and ensure optimal performance\n\n\n\n\nWhat You’ll Need\n\n\n* 3+ years of experience in network operations or a similar role\n\n* Proficiency in using Infrastructure as Code (IaC) tools such as Terraform and Ansible and scripting with Python to automate and manage cloud resources\n\n* Experience with container orchestration platforms like Kubernetes and managing Platform-as-a-Service (PaaS) solutions to deploy and scale applications effectively\n\n* Excellent troubleshooting and problem-solving ability\n\n* Deep knowledge of network protocols like Multicast, TCP/IP, BGP, OSPF and network architectures like hub & spoke, mesh\n\n* Strong understanding of AWS Networking like TGW, DirectConnect, VPC Endpoints, VPC Peering, VPNs, Routing, and AWS Application / Edge Networking (CloudFront, APIGW, EKS, ELB/ALB)\n\n* Experience with network monitoring and management tools like Grafana, DataDog, VictoriaMetrics\n\n* Hands-on experience with on-premise networking hardware – Routers, Switches, and Firewalls like Cisco, Palo Alto, Arista\n\n* Knowledge of containerization technologies like Docker and Kubernetes, including their networking aspects\n\n* Strong written and verbal communication\n\n* Bachelor's degree in Computer Science, Information Technology, or a related field\n\n\n\n\nPreferred, not required\n\n\n* CCNA, CCNP, AWS Advanced Networking, or other relevant networking certifications\n\n* Experience managing PoP/connectivity for multi-cloud data centers across multiple regions and platforms\n\n* Experience with Extranet vendor management and configuration\n\n* Experience with AWS Application networking services such as AWS VPC Lattice or AWS App Mesh\n\n* Experience with Network Overlay tools such as Aviatrix\n\n\n\n\nApplicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor or take over sponsorship of an employment Visa at this time. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Docker, DevOps, Cloud and Engineer jobs that are similar:\n\n $60,000 — $100,000/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\nNew York City, New York, United States

\nWe are looking for a skillful DevOps Engineer to join one of our teams working with US clients - referrals from the high-end American IT market.\n\n\nThis position offers a contract lasting for at least 1 year, with the potential for extension as new projects come in.\n\n\nOur tech stack is built around React, React Native, Node.js, and TypeScript. We are working with startups in their early stages (MVPs), which makes the job full of diverse and exciting challenges while crafting innovative solutions.\n\n\nEnjoy the flexibility of working within the Polish time zone and collaborate with clients from diverse industries such as FinTech, SportsTech, MedTech, and many others.\n\n\nSalary: PLN 9.000 - 13.000 + VAT (B2B)\n\n\n\n\n* Required skills:  1+ year of experience in DevOps or similar roles, basic understanding and hands-on experience with AWS, experience with CI/CD pipelines, knowledge of containerization, familiarity with infrastructure as code, scripting skills (i.e., Bash, Python), understanding of monitoring tools, English B2, Polish C1\n* Offer: B2B/UZL, min. 1 year contract, paid days off, 100% remote (or hybrid/onsite - as you prefer), Polish time zone, flexible hours, full-time position, Scrum Teams\n* Perks and Benefits: +6 000 PLN / year training budget, budget for health insurance and sports, Mentoring sessions, individual Career Path, and more\n* Tools you'll use: Apple MacBook Pro, Slack, GSuite, GitHub, Jira, Coda, Miro\n\n\n\nYour future tasks and duties:\n* Assist in developing and maintaining CI/CD pipelines\n* Help manage cloud infrastructure\n* Support implementation and oversight of monitoring and alerting systems\n* Collaborate with development teams to ensure seamless integration and deployment\n* Troubleshoot and resolve basic infrastructure issues\n* Participate in project discussions and provide technical insights\n* * Participate in on-call duty rotations to ensure 24/7 system availability, with additional compensation for on-call duties\n\n\n\nAbout you - Tech skills & Experience:\n* 1+ year of experience in DevOps or similar roles\n* Basic understanding and hands-on experience with AWS, including deployment and management of applications.\n* Experience with setting up and maintaining Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools like Jenkins or GitHub Actions.\n* Understanding of container technologies such as Docker and Kubernetes for application packaging and deployment.\n* Familiarity with infrastructure as code (i.e., Terraform, Ansible)\n* Proficiency in scripting languages like Bash and Python for automation and configuration management.\n* Knowledge of monitoring and alerting tools such as Prometheus and Grafana to ensure system performance and availability.\n\n\n\nAbout you - Soft Skills:\n* Excellent communication skills in English (B2) and Polish (C1)\n* Open-minded and proactive in solving challenges\n* Strong team collaboration abilities\n* Eager to stay updated with industry trends\n* Problem-solving abilities to diagnose issues, suggest solutions, and make decisions based on project requirements\n\n\n\nNice to have:\n* Experience in an Agile/Scrum environment\n* Familiarity with security best practices\n* Previous work on early-stage product development\n\n\n\n\n\n\n\n\n\n\nMeaningful projects, top-notch experts and value-driven workplace\nSounds good?\nApply now! \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to React, Python, Docker, DevOps, Cloud, Junior and Engineer jobs that are similar:\n\n $60,000 — $100,000/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\nWrocław

\nWho we are:\n\nRaft (https://TeamRaft.com) is a customer-obsessed non-traditional small business with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development, with headquarters in McLean, VA. Our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.\nWe’re looking for an experienced DevSecOps Engineer to support our customers and join our passionate team of high-impact problem solvers.\n\nAbout the role: \n\nAs a DevSecOps Engineer, you are responsible for actively developing and implementing end-to-end cluster and application lifecycles, ensuring processes are both secure and efficient. Collaborate with clients, designing and implementing Kubernetes or Docker solutions. Take part in building CI/CD pipelines, ensuring a smooth software update process. Furthermore, actively participate in the application of GitOps principles for software delivery.\n\nWhat we are looking for:\n\n\n3+ years of Python software development experience\n\n3+ years of Bash scripting experience\n\n3+ years of Linux System Administration experience\n\n3+ years of hands-on experience with Kubernetes or Docker, provisioning production clusters and maintaining their compliance\n\n3+ years of automated DevOps (ex. Building pipelines) or cloud infrastructure (ex. AWS, Azure) experience\n\n3+ years of automating builds for Docker or OCI containers\n\nSkilled in building Gitlab CICD pipeline templates and jobs\n\nAbility to implement and improve development and security best practices by building necessary CICD pipeline jobs (linting, SCA, SAST, vulnerability scanning)\n\nFamiliarity with cosign for signing and verifying container images and attestations\n\nExperienced in developing, troubleshooting, maintaining build automation for applications and images, and developing end-to-end application testing\n\nProven background in software systems development via CI/CD pipelines (Gitlab Pipelines)\n\nExposure to Agile, DevOps, and DevSecOps methodologies, practices, and culture\n\nStrong knowledge of version control systems like Gitlab, with the ability to maintain/operate Gitlab in the cloud or on-premises\n\nProblem-solving aptitude\n\nExpertise in designing and implementing enterprise-grade, scalable cloud-based services to support our development teams\n\nFamiliarity with GitOps tools, i.e., FluxCD, ArgoCD\n\nKnowledge of Log Management and Analytics tools such as PLG/Splunk/ELK\n\nBackground in building, deployment, release automation, or orchestration\n\nProficiency in writing Unit/Integration/e2e testing (e.g., Junit, Cypress, Selenium)\n\nSkilled in Infrastructure as Code (e.g., Terraform, Ansible, etc.)\n\nObtain Security+ within the first 90 days of employment with Raft\n\n\n\n\nHighly preferred: \n\n\n2+ years of experience with Spring Boot (Java development), in particular the Spring Cloud Gateway library.\n\nProficiency in building CLI applications in Python\n\nSkilled in working with file scanning applications (e.g., virus scanning tools)\n\nExperience using FastAPI to develop web applications in Python\n\nExpertise in implementing Sigstore and Cosign to sign container images as well as SBOMs\n\nSkilled in hardening application containers\n\nProven background with Istio service mesh\n\nBackground in defensive or offensive cyber capability development\n\nPassionate about automation, system efficiency, and security\n\n\n\n\nClearance Requirements:\n\n\nActive Top Secret security clearance with SCI Eligibility\n\n\n\n\nWork Type: \n\n\nRemote (Local to San Antonio, TX)\n\nMay require up to 10% travel\n\n\n\n\nSalary Range:\n\n\n$90,000 - $170,000\n\nThe determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities\n\n\n\n\nWhat we will offer you: \n\n\nHighly competitive salary\n\nFully covered healthcare, dental, and vision coverage\n\n401(k) and company match\n\nTake as you need PTO + 11 paid holidays\n\nEducation & training benefits\n\nAnnual budget for your tech/gadgets needs\n\nMonthly box of yummy snacks to eat while doing meaningful work\n\nRemote, hybrid, and flexible work options\n\nTeam off-site in fun places!\n\nGenerous Referral Bonuses\n\nAnd More!\n\n\n\n\nOur Vision Statement: \n\nWe bridge the gap between humans and data through radical transparency and our obsession with the mission. \n\nOur Customer Obsession: \n\nWe will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.\n\nHow do we get there? \n\nPublic-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. \n\nRaft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration.  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Docker, DevOps, Cloud and Engineer jobs that are similar:\n\n $60,000 — $100,000/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\nSan Antonio, Texas, United States

\nAbout the role\n\nAs a DevSecOps engineer at Applied Intuition, you will play a crucial role in integrating security practices into our software development and operational processes. You will be responsible for enhancing system security, optimizing software deployment, and improving development workflows.\n\nAlongside the rest of the Corporate Security & Infrastructure team, you will work closely with the engineering teams to ensure the operational success and security of our internal software development and external customer deployments. At Applied Intuition, we encourage engineers to take ownership over technical decisions, interact closely with users to collect feedback, and contribute to a thoughtful, dynamic team culture.\n\nAt Applied Intuition, you will:\n\n\n* Instill security standards and best practices in software development and deployment processes\n\n* Develop and maintain CI/CD pipelines for efficient and secure software deployment\n\n* Design and implement security processes and tools across major cloud providers (AWS, GCP, Azure) as well as on-prem\n\n* Implement and monitor security measures to protect internal and external systems, networks, and data\n\n* Support vulnerability scanning, pen testing and incident response for all cloud services\n\n\n\n\nWe're looking for someone who has:\n\n\n* 5+ years of experience in software development, security, and operations\n\n* Strong understanding of modern secure software development best practices\n\n* Proficiency in CI/CD technologies (e.g. git, buildkite) and secure software deployment\n\n* In-depth knowledge of cloud services (AWS, GCP or Azure) and hands-on experience securing cloud services \n\n* Experience with containerization (Docker), orchestration (kubernetes) and infrastructure as code (e.g. Terraform)\n\n* Strong understanding of system security and data protection\n\n* Excellent problem-solving and collaboration skills\n\n* Bachelor’s in computer science or related field\n\n\n\n\nNice to have:\n\n\n* Proficiency in security best practices for javascript, python and C++ development\n\n* Experience implementing real time security monitoring solutions\n\n* Understanding of cloud infrastructure including networking, access control, IaaS, and SIEM tools\n\n* Master degree focused on computer and systems security\n\n* Certified Information Systems Security Professional (CISSP), Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, or other relevant certifications\n\n\n\n\nThe salary range for this position is $65,000 USD to $400,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices.\n\nThis position will involve access to export controlled information. Disclosure of certain export controlled information requires status as a U.S. Person (e.g., as a U.S. citizen or national, as a lawful permanent resident of U.S., or as a protected individual, including asylee or refugee) or the eligibility to obtain applicable authorizations from the U.S. government. \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 Engineer jobs that are similar:\n\n $75,000 — $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
\n\n#Location\nMountain View, California, United States

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

\nOur mission at Orbital Insight is to understand what we’re doing on and to the Earth. We do this through our cloud-based SaaS platform, Orbital Insight Terrascope and on-premise offering, Terrabox, by ingesting geospatial data at massive scales, then applying state-of-art AI/ML and Data Science algorithms at scale. \n\n\nIn order to achieve this, the cloud infrastructure engineering team is motivated to provide a robust infrastructure layer between the platform and the cloud providers. This software layer is centered around Kubernetes to provide cloud agnostic feasibility and requires deployability on customers’ cloud environments.\n\n\nOur work spans multiple areas including cloud agnostic infrastructure, networking, orchestration, distributed storage, and online/streaming processing. If you enjoy applying computer science fundamentals to real-world challenges and building scalable systems, you will fit right in.\n\n\nIn order to take our government business to the next level we are looking to hire a DevOps Engineer to join our Public Sector team. This DevOps Engineer will work on developing, adapting, and extending our commercial software products to fit the needs of our government customers.\nAt Orbital Insight, we work in cross-functional Agile teams, exploring how geospatial data, data science, AI/deep learning, computer vision, and intimacy with user needs can create entirely new products that give novel insights about what we are doing on and to the earth. Our pioneering products help people answer questions that cannot be answered today.\n\n\nWe value experienced engineers who already have a breadth of experience in multiple areas -- databases, devops, machine learning, API design, and more -- and are eager to learn new areas and new technologies.\nIf all this sounds interesting to you, we’d love to meet you.\n\n\nThe position is remote with as needed to travel to customer sites in the Washington DC area. Occasional travel to corporate headquarters in Palo Alto, California.\n\n\nThis position requires active TS/SCI(DOD) clearance\n\n\n\nResponsibilities\n* Lead deployment and maintenance of our flagship product Terrascope, from GovCloud to JWICS You are the primary engineer for these initiatives\n* Ability to lead a cross functional team for a government engagement including facilitating design and implementation, as well as project management, to meet contractual deliverables\n* Design and develop the software layer between the platform and the cloud providers\n* Understanding the requirements for cloud provider agnostic and air-gapped environments\n* Be responsible for the runtime infrastructure under our production system and all developer resources\n* Automate packaging and testing for releases and bootstrapping\n* Attending technology conferences that will help support learning, as well as, bringing ideas from greater community that can further improve our solutions\n\n\n\nMandatory Qualifications\n*  5 Years Minimum Experience as DevOps Engineer\n*  3 years experience with Kubernetes to deploy, scale and manage containers with configuration using Helm charts\n* Comfortable at command line and working within Linux operating system (preferably RHEL)\n* Experience working with Docker or other Container technologies\n* Experience working with cloud providers such as AWS, GCP, or Azure . Configuring networking (DNS, routing, load balancing)  will be a good example\n* Command of a scripting language such as Python or Bash, as well as Git\n* Proficiency and experience with infrastructure as code (IaC) tools, such as Terraform\n\n\n\nPreferred Qualifications\n* Experience with JWICS integration (PKI, NPE Certs)\n* Experience with air-gapped system / on-premise deployment\n* Experience with databases and message queues\n* Experience with Cloud/Kubernetes security \n* Computer science, electrical engineering degree or related experience\n\n\n\n\n$140,000 - $210,000 a yearSalary range includes annual base salary only\n\nAt Orbital Insight, we believe that a diverse workforce that reflects the diversity of our planet is the way to achieve our mission: to understand what is happening on and to the Earth.  Orbital Insight is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. We do not accept unsolicited headhunter and agency resumes and will not pay any third-party agency or company that does not have a signed agreement with Orbital Insight. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Python, Docker, Testing, DevOps, Cloud, API, Engineer and Linux jobs that are similar:\n\n $60,000 — $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\nArlington, VA

Who You Are\n\nPhaidra is looking for a driven Senior Software Engineer to be a part of our Infrastructure team. You are bold and creative, and have deep empathy for customers who may not be tech-savvy. You will work directly with our Infrastructure lead to build and maintain world class infrastructure. You will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nWe are seeking a team member located within one of the following areas: USA\nResponsibilities\n\nThe ideal candidate has expertise building self service Internal Developer Platforms for deploying and managing cloud infrastructure on AWS/GCP/Azure and ideally Kubernetes Operators. Your responsibilities will touch on building Developer Portals, Developer Experience & Tooling Infrastructure Engineering and DevOps. Your work will empower developers to be self sufficient in infrastructure related operations.\n\n\n* You will build an internal developer portal and tooling for abstracting infrastructure with a self service approach.\n\n* You will work closely with developers to identify infrastructure pain points and build the platform accordingly\n\n* You will help build and manage infrastructure for:\n\n\n* Large-scale data ingestion and processing.\n\n* Distributed model training, evaluation and inference.\n\n* Automating the end-to-end system for continuous improvement and deployment.\n\n\n\n\n\n* You will work with cloud services like AWS, Azure, GCP.\n\n* You will work with Cloud Native technologies like Kubernetes.\n\n* You will help build CI/CD pipelines and take part in DevOps duties.\n\n* You will write and maintain tooling and documentation for infrastructure, supported applications and processes.\n\n* You will apply SRE principles for observability, automation and change management.\n\n* Build and maintain cross-functional relationships with internal teams to drive initiatives.\n\n\n\nKey Qualifications\n\n\n* Bachelors or Masters in Computer Science, or equivalent experience.\n\n* Proven software engineering experience, ideally with Python or Go.\n\n* Experience with Internal Developer Platform products such as Backstage, Port or Upbound.\n\n* Experience working with developers with a focus on infrastructure automation.\n\n* Proven experience automating Cloud on AWS, GCP or Azure.\n\n* Experience developing Kubernetes Operators and general Kubernetes related automation.\n\n* Good understanding of Linux-based Operating Systems, Containerisation and Orchestration technologies like Docker and Kubernetes.\n\n* Good understanding of DevOps and SRE principles.\n\n* Experience with Terraform or other configuration management tools like Jsonnet, Kapitan, Helm or Kustomize.\n\n* Share our company values: curiosity, ownership, transparency & directness, outcome-based performance, and customer empathy.\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\nPreferred Skills & Experience\n\n\n* Experience with Software Engineering.\n\n* Experience developing Internal Developer Platforms and tooling.\n\n* Expertise with multi and hybrid cloud environments.\n\n* Expertise with some parts of our tech stack is a big plus.\n\n* Experience in automating scalable multi-tenant systems architectures with high availability, fault tolerance, performance tuning, monitoring, and statistics/metrics collection.\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 and infrastructure 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\n\n\nBy your first 60 days...\n\n\n* You will have a solid understanding of what Phaidra does and how we do it.\n\n* You will have met with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will have completed the onboarding exercise and will be on your way to completing your first production task.\n\n\n\n\nBy your first 90 days...\n\n\n* You will have been fully integrated in the team and with team members across the company.\n\n* You will get a more in-depth understanding of our system architecture and infrastructure.\n\n* You will have completed your first on-call experience helping monitor and improve our production environments.\n\n* You will have become an expert with our tooling.\n\n* You will have started to contribute to knowledge sharing throughout Phaidra.\n\n\n\nBase Salary\n\n\n* US Residents: $150,000-$210,000\n\n\n\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 Python, Docker, DevOps, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $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