Our Mission: \nTo capture the hearts and minds of millions of players across the world by creating unforgettable games powered by the best technology.\n\nAbout Us:\n\nPlayQ is a rapidly growing global entertainment and technology company delivering high-quality mobile titles and innovative game development solutions to a worldwide audience. Our games have been downloaded more than 60 million times across the globe, with millions of users playing every day! \n\nOur dedicated teams, based in downtown Santa Monica, CA, work together to craft the clever, visually stunning, and unforgettable experiences that our players love. Our emphasis on individual leadership means each team member has the opportunity to make a big impact, while our commitment to creative freedom gives them the ability to create whatever they can imagine. \n\nIt’s this mindset that has led us to develop our own IP, infuse games with rich storytelling, build our own development tools, and solve the deepest technical challenges - all in the name of disrupting the mobile gaming landscape.\n\nWhy you'll want to come to work:\n\nAs a Lead DevOps Engineer, you will play a pivotal role in spearheading the design, implementation, and maintenance of robust and scalable infrastructure solutions. You will manage DevOps engineering projects on the team, collaborate closely with our global game and services development teams, and automate processes to enhance overall company efficiency. You will be at the forefront of overseeing the design, creation and management of CI/CD pipelines, cloud infrastructure, and backend service deployments to ensure seamless and automated delivery of applications.\n\nIn this role, you will be instrumental in shaping the technological landscape, fostering innovation, and contributing to the success of PlayQ’s mission. You’d be an ideal fit for this role if you:\n\n\n* Possess a visionary mindset, shaping high-level architectures that power the future of gaming infrastructure.\n\n* Inspire and drive global teams of engineers, translating blueprints into resilient, scalable systems with a "can-do" attitude.\n\n* Roll up your sleeves and dive into technical challenges, leading by example and fostering a hands-on and solutions focused approach.\n\n* Display a proven track record of driving results, demonstrably reducing deployment time and optimizing performance\n\n* Communicate effectively across technical and non-technical audiences, collaborating seamlessly with global game and service development teams.\n\n* Possess a passion for learning and innovation, staying ahead of the curve in cloud technologies and DevOps best practices.\n\n* Embrace a fast-paced, collaborative environment, thriving in a culture where ideas are valued and teamwork is paramount.\n\n\n\n\nWhat you'll get to create:\n\n\n* Lead the design, implementation, and maintenance of highly scalable and secure infrastructure solutions, collaborating closely with development teams to automate manual processes and boost overall team efficiency.\n\n* Architect and oversee efficient CI/CD pipelines built with TeamCity and GitHub Actions, ensuring seamless and automated delivery of game and service updates.\n\n* Architect and lead the development of our Python-based interactive Slack bot, ensuring scalability, robustness, and seamless integration with our internal systems and workflows.\n\n* Leverage proficiency in Bash, Python, and Kotlin to build and maintain robust automation scripts, CI/CD pipelines, and IaC configurations.\n\n* Architect and implement a robust, scalable infrastructure for game deployment using Harness, Terraform, and AWS cloud platform tools (EKS, S3, CloudFront, etc.).\n\n* Partner with cross-functional teams and engineers to streamline build and deployment processes, aligning them with business objectives.\n\n* Drive effective communication with stakeholders, providing regular updates and actionable insights into DevOps initiatives.\n\n* Proactively identify and implement innovative CI/CD and IaC tools and processes to continuously optimize workflows and efficiency.\n\n* Manage and document deployment processes and automation, fostering transparency and maintainability.\n\n* Proactively identify and implement innovative CI/CD tools and processes to continuously optimize workflows and efficiency.\n\n* Perform ongoing competitive research into industry best practices.\n\n* Mentor and guide junior team members, fostering a culture of growth and knowledge sharing.\n\n\n\n\n\nWhat you'll bring to the team: \n\n\n* Bachelor’s degree in Computer Science, Information Technology, or a related field.\n\n* 8+ years of Software Development or DevOps experience\n\n* 3+ years of experience as an engineering lead, delegating tasks to key contributors \n\n* 3+ years of experience developing and maintaining Python scripts for automation tasks, CI/CD pipelines, and API integrations\n\n* Proven success in leading multiple engineering projects from execution to completion on time and within budget\n\n* Proven expertise in predicting obstacles and creating project plans that mitigate against risk and disruption\n\n* Strong expertise in cloud platforms such as AWS.\n\n* Expert proficiency in infrastructure as code (IaC) using tools like Terraform or CloudFormation.\n\n* Proven success in leveraging containerization and orchestration tools such as Docker and Kubernetes\n\n* In-depth knowledge of CI/CD and IaC orchestration tools (TeamCity, Harness), version control systems (GitHub), and automated testing\n\n* Solid understanding of security best practices and compliance standards\n\n* Ability to effectively communicate complex, technical information to non-technical teams\n\n* Ability to independently troubleshoot and solution for common engineering challenges\n\n\n\n\nIf you gotten this far, we hope you're feeling excited about this role. Even if you don't feel you meet every single requirement, we still encourage you to apply. We're eager to meet people who believe in PlayQ's mission and can contribute to our team in a variety of ways—not just candidates who check all the boxes.\n\nWhat we can offer you:\n\n\n* Competitive compensation and equity options\n\n* Comprehensive medical, dental, vision, life, long term disability & pet insurance\n\n* Flexible time off\n\n* Unmatched learning opportunities and mission driven team\n\n* Advancement and mentorship opportunities\n\n* 401K plan with company match\n\n* Flexible Workplace: PlayQ’s workplace includes a combination of both in-office, hybrid and remote roles. Our flexible approach to the workplace experience, internal comms, and tech stack promote collaboration, communication, and camaraderie!\n\n* Brand new creative office space equipped with tons of natural light, communal areas for collaboration and free parking\n\n* Walking distance to restaurants, coffee shops, and the metro\n\n* Stocked kitchen with snacks and beverages\n\n* Monthly team building events and cross departmental lunches\n\n* Help build and support awesome GAMES. For a living! Who doesn't love games?\n\n\n\nAt PlayQ, we leverage competitive benchmarking data when setting each role’s base pay range. Individual base salary will be determined based on job-related factors which may include knowledge, skills, experience, scope of role, business need and geographic location.\nThe estimated base pay range for this role is listed below.\n$135,000-$180,000 USD\nAdditional information:\n\n* In-office location: Santa Monica, CA\n\n* This role is open to remote employees located in select US states including California, Washington, Nevada, Texas, Florida, Pennsylvania, New York and Georgia.\n\n* This role is offered as a full time position.\n\n\n\nInterested? Please get in touch! \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, API, Mobile, Junior, Engineer and Backend 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\nSanta Monica, California, United States

\nThe Role\n\nAs a Staff Cloud Engineer, you will play a pivotal role in designing, implementing, and maintaining robust infrastructure solutions supporting all of Magic’s products. You will also help expand Magic’s platform to meet global demand while maintaining resiliency and uptime. You will work with engineering teams to develop cloud native solutions that scale globally. Your extensive experience and technical expertise will be instrumental in shaping the future of our innovative product.\n\nThis position is based in either our New York City (NYC) office or remote within Canada.\n\nKey Responsibilities:\n\n\n* You will manage and expand our container orchestration platforms to support our customer platform in Kubernetes (EKS), ECS and Lambda.\n\n* Design and build CI/CD pipelines with a promotion based model (GitHub Actions).\n\n* Leverage your experience with infrastructure-as-code frameworks such as CDK, Terraform, and Pulumi to manage infrastructure with CI/CD. \n\n* Architect and design with teams across the org to build robust and scalable API solutions in AWS that meet both current and future needs.\n\n* Own the architecture and development of system components to improve monitoring, alerting and stability with compliance and security in mind (Datadog and Pagerduty).\n\n* Utilize your expert knowledge of WAF and Zero-Trust solutions including AWS WAF and Cloudflare to keep our products safe and secure.\n\n* Collaborate with security teams to implement and maintain robust security measures, including vulnerability assessments and risk management.\n\n* Provide mentorship and guidance to junior DevOps team members, promoting best practices and knowledge sharing.\n\n* Leverage performance and load test tooling to identify and address performance bottlenecks and optimize backend services for efficiency and speed.\n\n* Participate in on-call rotation and incident response to ensure 24/7 system availability.\n\n\n\n\nQualifications:\n\n\n* 8+ years of Cloud Engineering experience (DevOps/SRE) designing production systems in public cloud environments (AWS [preferred], GCP, or Azure). \n\n* Excellent Incident Management skills to navigate and lead incidents adeptly to ensure platform uptime.\n\n* Strong experience with programming and scripting languages such as Python, Go, and TypeScript.\n\n* Excellent problem-solving skills and the ability to work in a fast-paced startup environment.\n\n\n\n\nBonus Points:\n\n\n* AWS Certified DevOps Engineer or related certifications.\n\n* Experience managing Web3/Crypto infrastructure.\n\n* Previous experience in a startup environment.\n\n* Knowledge of microservices architecture and RESTful API design.\n\n\n\n\nBenefits:\n\n\n* Fully remote team and flexible working hours\n\n* Competitive salary and stock options\n\n* Unlimited paid time off\n\n* Health, Vision, and Dental insurance\n\n* 401(k) program\n\n* Top of the line equipment\n\n* $300 monthly budget for home office needs and professional development\n\n* Annual team meetups\n\n\n\n\nSalary Range: \n\n\n* Canada: $200K-$250K CAD\n\n* New York City: $200K-$250K USD\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 Design, DevOps, Cloud, API, Junior, Engineer and Backend jobs that are similar:\n\n $70,000 — $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

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

\nAbout the role\n\nWe are looking for an experienced Back-end engineer for curating the structure of server-side information. In this role, you will primarily write server components and APIs to be utilized by front side engineers and UX designers. The day to day consists of implementing reusable code libraries, good APIs, generating data storage solutions, optimizing servers for speed and stability, implementing security structures, and collaborating with the frontend engineers to develop a Clean Code / Clean Architecture experience through excellent Software Design and Software Architecture good practices.\n\nBack End Engineers should possess good knowledge about algorithms, data structures, design patterns and Software Engineering in general. A basic understanding of front-end techs such as React, HTML and CSS is needed for efficiency. Vast knowledge of backend coding in NodeJS platforms is required for candidacy. Well qualified applicants will possess strong communication, organizational and time-management skills.\n\nResponsibilities :\n\n\nConfidently ship small features and improvements with minimal guidance and support from other team members.\n\nDevelop features and improvements to Andela products in a secure, well-tested, and performant way.\n\nCollaborate with Engineering Managers, Backend Engineers, Frontend Engineers, Machine Learning Engineers, DevOps professionals, Product Managers, Designers, to solve common goals and maintain a high bar for quality in a fast-paced, iterative environment\n\nConduct Code Review within our Code Review Guidelines and ensure your colleagues' contributions receive a swift response.\n\nSolve technical problems of moderate scope and complexity.\n\nRecognize impediments to our efficiency as a team ("technical debt"), propose and implement solutions\n\nTranslate requirements into Conceptual Designs and Technical Designs\n\n\n\n\nRequirements:\n\n\nExcellent communication skills\n\nExperience with NodeJs and Javascript. Typescript is a plus.\n\nExperience with database modeling (ERD/ERM) and migrations\n\nSignificant experience with API Creation & modeling\n\nExperience with Integration tests\n\nKnowledgeable about Software Design Principles, e.g.: Abstraction, Encapsulation, Decomposition, Generalization, Coupling and Cohesion, Separation of Concerns\n\nUnderstanding of scaling applications to handle high data traffic\n\nClean Code / Clean Architecture experience; Design patterns understanding and correct application, e.g.: Singleton, Factory, Adapter, Strategy etc\n\nA basic understanding of front-end tech such as React, HTML5, CSS3 is needed for efficiency\n\n\n\n\n \n\n#LI-REMOTE\n\n#LI-BW\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 Design, Swift, DevOps, CSS, HTML, Typescript, API, Engineer and Backend 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\nNairobi, Nairobi, Kenya