DevOps Engineer

As a DevOps Engineer, you will build and scale a first-of-its-kind RLOps platform. You will design robust cloud infrastructure and CI/CD pipelines to support high-performance reinforcement learning workloads. This role is pivotal in enabling businesses to deploy sophisticated AI models at scale using state-of-the-art open-source frameworks and enterprise tools., * Work at the absolute forefront of reinforcement learning innovation, building the infrastructure that powers next-generation AI reasoning and autonomous systems.

• Join a well-funded startup backed by top-tier investors, offering significant equity and the chance to shape a culture of excellence and collaboration.
• Enjoy high autonomy with flexible working policies, including a 6-month remote option and a dedicated annual learning budget for professional growth.

What you will do:

• Design and maintain scalable cloud infrastructure on AWS, GCP, or Azure to support distributed machine learning training environments and GPU clusters.
• Build and optimize CI/CD pipelines using GitHub Actions or GitLab CI to automate testing and deployment for both open-source and enterprise platforms.
• Implement containerization and orchestration strategies using Docker and Kubernetes, alongside Infrastructure as Code solutions like Terraform to ensure reproducible environments.

• Professional experience managing compute-intensive workloads and ML/AI services within major cloud platforms like AWS, GCP, or Azure.
• Strong proficiency in container orchestration (Kubernetes) and Infrastructure as Code (Terraform) to manage high-performance computing resources.
• Solid scripting skills in Python or Bash with a deep understanding of MLOps practices, monitoring tools, and secure networking for distributed systems.

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