Designs and builds tools and platforms to deliver a best in class developer experience for multiple development teams. Drives development of existing DevOps platforms and contribute to development of new DevOps platforms by analyzing and identifying areas for modification and improvement. Develop platforms that is fast, secure and reliable to meet defined requirements.

As a Staff SRE specializing in ML infrastructure, the primary responsibility is designing, developing, maintaining, and scaling the foundational infrastructure that enables Wikimedia's Machine Learning Engineers and Researchers to efficiently train, deploy, and monitor machine learning models in production.

The Platform Engineer will join the Veeam Data Cloud team to provide a secure, reliable, and easy-to-use platform. The mission is to enable the teams to build, test, deploy, and monitor the VDC product by writing and maintaining code to automate the public cloud infrastructure, software delivery pipeline, and other enablement tools.

Manage the Tech Pod from a complete delivery perspective including working with your client to ensure project scope and alignment. Guide the Tech Pod both technically and career-wise, developing and using automation tools effectively to operate, manage, and scale production and development environments quickly. Participate in regular customer and internal EverOps scrums, monitoring environments while focusing on constant improvement.

Production Engineers keep Mysten's production infrastructure running smoothly even in the face of heavy traffic or attacks from adversaries, with expertise in release, deployment, logging, and monitoring processes. They have experience working with open-source frameworks and are obsessed with automation. They work closely with distributed systems experts.

Join EverOps as a Senior DevOps Engineer, managing customer's production cloud environments with a team of dynamic engineers. You'll use automation tools, participate in scrums, monitor environments, implement new technologies, and provide operational support, focusing on client satisfaction and high availability in a dynamic environment.

We are looking for a Senior Cloud Engineer, ML Platform to lead the next phase of scaling our cloud-based machine learning (ML) and computer vision (CV) systems. This role is instrumental in moving beyond batch processing and toward real-time, high-throughput ML infrastructure supporting multi-model systems.

As a member of the Build Platform team, you will play a key role in designing, optimizing, and maintaining the build infrastructure for our development teams, working on monorepo tooling, Bazel integration, and CI/CD pipeline improvements to empower DoorDash developers.

As a DevOps Engineer, you will play a crucial role in driving our long-term business outcomes, improving deployment velocity, ensuring system reliability and stability, and implementing cutting-edge system observability practices. Contribute to all DevOps and adjacent codebases. Build deployment automation of all solution components. Implement and administer comprehensive system monitoring and logging.

Our SRE organization is responsible for designing and building systems, tooling, and processes to provide an extensible, scalable, and observable platform; they empower our development teams to own and manage their full application stack, minimizing bottlenecks and optimizing development velocity without compromising on reliability.