Software Engineer, Devops Platform Engineering
About The Position
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career. THE ROLE: AMD AIG team is looking for a highly skilled software engineer with expertise in CI/CD pipelines, automation, and modern DevOps practices. You will play a key role in evolving our CI/CD infrastructure for Ryzen AI product line, ensuring high availability, scalability, and efficiency. This is a high-impact position where you will collaborate with cross-functional teams to design, implement, and maintain next-generation CI/CD systems that drive developer productivity and operational excellence.
Requirements
- Highly skilled software engineer with expertise in CI/CD pipelines, automation, and modern DevOps practices.
- Experience working on large-scale CI/CD platforms.
- Experience operating production-level K8s platform integrating open-source tools.
- Experience optimizing workflows for fast, reliable software delivery.
- Strong understanding of SDLC processes and automation.
- Familiarity with security best practices and static code analysis tools.
- Strong problem-solving skills.
- Ability to work effectively across teams.
Nice To Haves
- Years of experience in software engineering, DevOps, or automation.
- Strong programming skills in Python, Go or C++
- Deep understanding of CI/CD pipelines, including Jenkins, GitHub Actions, GitLab CI, or equivalent.
- Experience working or supporting HPC or large-scale accelerated computing platforms.
- Hands-on experience with containerization (Docker, Kubernetes) and microservices.
- Deep expertise in Kubernetes internals, APIs, controllers or operators, cluster lifecycle management and policy-driven platform automation.
- Proficiency with GitOps workflows and integrating GitHub/GitLab/BitBucket webhooks.
- Experience with security and static analysis tools (e.g., SonarQube, Coverity, Snyk, or similar).
- Good understanding of SDLC processes and automation techniques.
- Experience with infrastructure automation (Terraform, Ansible, Chef, or equivalent).
- Good knowledge of Windows and Linux system administration and networking fundamentals (PXE, IPMI, switching/routing).
- Familiarity with observability tools (Prometheus, Grafana, ELK/Kibana).
Responsibilities
- Design and implement scalable, high-performance CI/CD pipelines for various components in Ryzen AI stack.
- Develop automation frameworks for build, test, and deployment infrastructure.
- Build tools and control plane systems to manage large scale kubernetes platform and in depth cluster lifecycle for running production CIs.
- Integrate security best practices into CI/CD workflows, including supply chain security and vulnerability scanning.
- Incorporate SDLC automation practices for improved software quality and compliance.
- Work with security and static code analysis tools (e.g., SonarQube, Coverity, Snyk, or similar) to enforce code quality and security standards.
- Collaborate with development teams, program managers to optimize CI/CD workflows.
- Monitor, troubleshoot, and maintain CI/CD pipelines, ensuring high availability.
- Drive adoption of infrastructure as code (IaC) and containerized deployments.
- Participate in root cause analysis of build failures and drive issue resolution.
Benefits
- AMD benefits at a glance.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
