6 days ago
San Jose, CA, USASenior
Base Salary
$172k - $258k/yr
Responsibilities
- Design, build, and operate Kubernetes-based platform capabilities for development, test, and production workloads.
- Create reusable infrastructure-as-code modules, automated workflows, and deployment patterns.
- Develop platform observability covering metrics, logs, traces, dashboards, alerting, service-level objectives, and runbooks.
- Improve platform reliability, capacity, security posture, and cost efficiency through automation.
- Build infrastructure for AI/ML workload deployment, operation, observability, governance, model serving, GPU-enabled compute, and workload isolation.
- Enable self-service through platform APIs, templates, documentation, golden paths, and CI/CD integrations.
- Partner with application, security, infrastructure, and AI teams to establish standards and remove delivery bottlenecks.
- Investigate production issues, lead root-cause analysis, and implement preventative improvements.
- Contribute to platform roadmaps, architecture reviews, and engineering standards.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
- At least 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 tools such as Docker, Helm, Kustomize, Argo CD, or Flux.
- Experience implementing infrastructure as code with 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 of Python, Go, Bash, or TypeScript.
- Experience with CI/CD systems and automated software delivery.
- Strong troubleshooting skills across Linux, networking, containers, cloud or on-premise infrastructure, and distributed systems.
- Clear written and verbal communication skills and the ability to work across engineering disciplines.
- Preferred experience with internal developer platforms, large-scale shared infrastructure, Prometheus, Grafana, OpenTelemetry, Loki, Tempo, Elastic, Datadog, Splunk, IBM LSF, NetApp Storage, GitOps, AI/ML infrastructure, model serving, GPU scheduling, Kubernetes operators, service mesh, API gateways, ingress, networking, multi-cluster Kubernetes, platform security, and semiconductor or EDA environments.
Tech Stack
AnsibleArgo CDBashDatadogDockerGoGrafanaHelmKubernetesLinuxPrometheusPythonSplunkTerraformTypeScript
Categories
About AMD
AMD designs and sells CPUs, GPUs, and adaptive/embedded computing products for PCs, data centers, gaming, and edge devices. Its portfolio includes Ryzen and EPYC processors, Radeon and Instinct graphics, and adaptive SoCs from its Xilinx acquisition, sold to OEMs, cloud providers, and device makers. Founded in 1969 and headquartered in Santa Clara, it is a public company on NASDAQ and supplies semi-custom chips for major game consoles.