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The AI/ML Frameworks team is hiring an MTS Software Development Engineer to build and maintain scalable DevOps infrastructure that accelerates AMD's AI software development. You will lead CI/CD pipeline design, manage Kubernetes deployments, and automate systems with Ansible and Python. This role supports GPU environments, integrates monitoring tools, and enables rapid, reliable software delivery across teams.
Job Responsibility:
Design, implement, and manage efficient continuous integration and delivery pipelines using Buildkite, GitHub Actions, and Jenkins
Deploy and maintain robust Kubernetes-based environments across both on-premise and cloud platforms
Automate provisioning, configuration, and management of infrastructure using Ansible, Python, and Bash
Administer application and service deployment in Kubernetes using Helm charts
Configure, manage, and maintain GPU-based compute environments including lifecycle automation and hardware-level test integration
Interact with MySQL databases to support dynamic data updates and integrate data sources into Grafana dashboards for monitoring and insights
Work closely with development teams, SREs, and project stakeholders
Integrate automated testing frameworks into CI pipelines
Requirements:
Proficient with Buildkite, GitHub Actions, Jenkins, Ansible, and scripting languages like Python and Bash
Strong experience with Docker, Kubernetes, and Helm
Hands-on experience automating infrastructure provisioning and configuration
Familiarity with GPU server lifecycle management
Experience using tools like Checkmk, Prometheus, and Grafana
Advanced knowledge of Git-based version control
Solid background in Linux environments including shell scripting
Bachelor's or master's degree in computer/software engineering, Computer Science, or related technical discipline
Years of professional and relevant industry experience
Nice to have:
Experience working with GPU compute environments and integrating automated test workflows