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. Lead DevOps Platform Engineer

We are seeking a hands-on Platform Engineer to build and operate the infrastructure foundations that enable engineering teams to deliver reliable, scalable, and secure products. This role will shape the internal developer platform across Kubernetes, observability, AI-enabled workloads, CI/CD, and infrastructure as code.
You will work closely with software, DevOps, security, and AI/ML teams to turn platform capabilities into a simple and dependable developer experience. The ideal candidate is comfortable moving between architecture decisions, production operations, automation, and practical enablement of partner teams.

Design, build, and operate scalable Kubernetes-based platform capabilities for development, test, and production workloads.
Improve platform reliability, capacity management, security posture, and cost efficiency through automation and data-driven operational practices.
Build the infrastructure required to deploy, operate, observe, and govern AI/ML workloads, including model-serving, GPU-enabled compute, data-access, and workload-isolation patterns where applicable.
Partner with application, security, infrastructure, and AI teams to define platform standards and remove delivery bottlenecks.
Contribute to technical roadmaps, architecture reviews, and engineering standards for the platform.

PREFERRED EXPERIENCE:

Experience designing internal developer platforms or large-scale shared infrastructure. Experience with Prometheus, Python, Bash, Grafana, OpenTelemetry, Loki, Tempo, Elastic, Datadog, Splunk, or comparable observability systems.



Experience with IBM LSF and Netapp Storage Experience with GitOps operating models. Experience supporting AI/ML infrastructure, model serving, GPU scheduling, Kubernetes operators, or AI workload orchestration. Knowledge of platform security practices, including identity and access management, secrets management, policy enforcement, image security, and supply-chain security. Experience with service mesh, API gateways, ingress, networking, or multi-cluster Kubernetes architectures. Semiconductor experience very helpful, EDA experience a plus. Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.

- 6+ years of experience in software engineering, DevOps, SRE, cloud infrastructure, or platform engineering.
- Solid hands-on experience operating and automating Kubernetes environments.
- Experience with container technologies and deployment tooling, such as Docker, Helm, Kustomize, Argo CD, Flux, or similar.
- Experience implementing infrastructure as code using Terraform, Pulumi, CloudFormation, Ansible, or comparable tools.
- Practical experience with observability platforms and concepts, including metrics, logging, distributed tracing, alerting, dashboards, and SLOs.
- Proficiency in at least one programming or scripting language such as Python, Go, Bash, or TypeScript.
- Experience with CI/CD systems and automated software delivery practices.
- Strong troubleshooting skills across Linux, networking, containers, cloud or on-premise infrastructure, and distributed systems.
- AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's 'Responsible AI Policy' is available

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