Remote Devops Jobs • Docker

You’ll join the Platform Engineering group responsible for the cloud foundation that keeps a global HXM product running 24/7. The team’s next milestone is a full Azure-native architecture built on Infrastructure as Code, automated security guardrails, and one-click deploys.

The DevOps team builds and maintains Clear Capital's AWS cloud infrastructure. They automate the deployment, monitoring, management, and decommissioning of complete operating environments. A Lead DevOps Engineer can automate a broad range of systems and has deep technical expertise in multiple areas, with demonstrated experience in complete system and software development lifecycles. This position will also mentor and guide more junior-level Engineers.

Join our dynamic team as a Senior Site Reliability Engineer on the Vault Platform team, where you'll ensure the scalability and reliability of our enterprise applications. You'll tackle complex challenges at a global scale, drawing on your deep expertise in Java and modern open-source technologies to make a tangible impact on production systems. You should have extensive experience with Java applications and the latest open-source technologies.

We’re looking for a full-time, remote Mid Level DevOps Engineer who will collaborate with a team of developers to create and implement software applications and components. For this role, the focus will be on managing the infrastructure required for software development, deployment, and testing, as well as configuring and maintaining servers, databases, networking, and storage systems.

As a Senior DevEx Engineer, you'll be a key member of the Developer Experience team building and maintaining internal tools that enable our product engineers to be efficient and self-reliant. You will maintain and improve our platform tooling systems, contribute to technical discussions, and guide less-experienced team members. The ideal candidate will deliver well-tested and documented software and take a proactive approach to problem-solving.

Seeking a Senior DevOps Engineer or DevOps Architect to elevate infrastructure and configuration management capabilities. Responsible for architecting and enhancing infrastructure solutions, driving improvements across deployment processes, and supporting system migrations in close collaboration with Development and QA teams. Key responsibilities include advancing infrastructure architecture, automating operational workflows, enhancing system observability, and proactively addressing potential production issues.

Architect and manage a fully mutable, distributed hybrid infrastructure spanning AWS and RunPod. Build a cloud- and provider-agnostic stack that can scale to support millions of users engaging with cutting-edge generative AI and real-time video services. Lead the implementation of a fully mutable, distributed infrastructure across AWS and RunPod.

As a Senior DevOps Engineer you will be responsible for designing, implementing, and maintaining the infrastructure and tools required for deploying and updating our applications. You will play a critical role in ensuring the reliability, scalability, and performance of our systems, leveraging your expertise in various technologies. This role will involve managing both self-hosted installations and those on customer premises.

As a Devops Engineer Principal at Sagent, you will play a pivotal role in shaping and executing our cloud strategy. This role seeks an exceptional individual with a passion for cloud technologies and a proven expertise in designing and implementing complex, scalable, and secure cloud solutions. Your responsibilities include cloud strategy development, architecture design, technical leadership, and solution implementation.

Design, develop, and maintain the core infrastructure that powers Quora's machine learning platform, ensuring high availability, scalability, and performance. Build scalable and reliable distributed systems for serving machine learning models. Optimize infrastructure performance across the ML platform. Collaborate with machine learning engineers to provide solutions. Contribute to the design and implementation of our next-generation machine learning infrastructure.