Lead DevOps Platform Engineer
AMD · Posted Oct 13
High-performance processors, graphics cards, data center solutions, and AI accelerators
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About the role
AMD builds computing and AI technologies spanning processors, accelerators, and the software ecosystem around them. This platform engineering team builds and operates the internal developer platform foundations across Kubernetes, observability, CI/CD, infrastructure as code, and AI-enabled workloads. The Lead DevOps Platform Engineer will design and run scalable platform capabilities, drive production reliability and security, and partner with software, DevOps, security, and AI/ML teams to deliver a dependable developer experience.
What you will do
- Design, build, and operate scalable Kubernetes-based platform capabilities for development, test, and production workloads.
- Create reusable infrastructure-as-code modules, patterns, and automated workflows using tools such as Terraform, Ansible, Helm, Kustomize, or equivalent technologies.
- Develop and evolve platform observability: metrics, logs, traces, dashboards, alerting, service-level objectives, and operational runbooks.
- 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.
- Enable self-service for product and engineering teams through well-designed platform APIs, templates, documentation, golden paths, and CI/CD integrations.
- Partner with application, security, infrastructure, and AI teams to define platform standards and remove delivery bottlenecks.
- Investigate complex production issues, lead root-cause analysis, and implement durable preventative improvements.
- Contribute to technical roadmaps, architecture reviews, and engineering standards for the platform.
Skills used in this role
What the employer is looking for
- 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.
- Strong 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 comp...
Preferred qualifications
- 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.
- Demonstrated ownership of production systems and a bias toward automation, operational excellence, and continuous improvement.
- Semiconductor experience very helpful, EDA experience a plus.
Benefits and support
- Compensation and benefits are detailed in the job posting
About AMD
AMD is a global semiconductor company that designs high-performance central processing units (CPUs), graphics processing units (GPUs), and adaptive processors for data centers, personal computers, gaming consoles, and embedded systems. The company specializes in advanced computing solutions and AI accelerators, positioning itself as a major leader in modern high-performance and artificial intelligence hardware. Through strategic developments and acquisitions, AMD continues to expand its ecosystem across cloud infrastructure, enterprise computing, and physical AI.
- Industry
- Semiconductors
- Company size
- 31000 employees
- Founded
- 1969-05-01
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company
- 2007-11-16Post Ipo
Leadership
Chair and Chief Executive Officer
Executive Vice President, Chief Financial Officer and Treasurer
Executive Vice President and Chief Technology Officer
Executive Vice President and Chief Commercial Officer
Executive Vice President and General Manager, Data Center Solutions Business Group
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