At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.

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Kubernetes Operator Development:

• Design, develop, and maintain custom Kubernetes operators to automate workflows, manage complex applications, and improve system resilience.

• Manage lifecycle of operators, including updates, testing, and performance optimization.

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Kubernetes Cluster Management:

• Deploy, configure, and maintain highly available Kubernetes clusters across cloud environments (e.g., AWS, GCP, Azure) and/or on-premises, including hybrid clusters.

• Optimize cluster performance, capacity planning, and scaling based on resource usage.

• Implement security best practices, including RBAC, Pod Security Policies, and network policies to ensure secure deployments.

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CI/CD Pipeline Integration:

• Collaborate with development teams to design, implement, and optimize CI/CD pipelines, ensuring smooth deployment of containerized applications.

• Use GitHub Actions to automate build, test, and deploy processes for containerized applications.

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Monitoring and Incident Management:

• Set up monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) to maintain visibility into system health.

• Implement automated recovery procedures and troubleshoot incidents to minimize downtime and ensure system reliability.

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Scripting and Infrastructure Automation:

• Develop and maintain infrastructure-as-code/data (IaC) using Crossplane for consistent, scalable deployments.

• Write scripts and tools (Python, Bash, Go) to automate routine tasks, enhance cluster functionality, and support development.

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PREFERRED EXPERIENCE:

• Solid experience in running operations in production; scaling and reliability issues trouble-shooting
• Building tooling
• CI/CD (GitHub actions/workflows an extra plus)
• Desire and ability to quickly acquire broad high-level intuition of AI systems and solutions
• Initiative, pragmatic problem solving, and great collaboration skills

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ACADEMIC CREDENTIALS:

• Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

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