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Lead DevOps Platform Engineer

AMD· Engineering
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HyderabadFull-timePosted 1w ago

About the role

Hands-on Platform Engineer to build and operate infrastructure foundations enabling engineering teams to deliver reliable, scalable, and secure products. Focus areas include Kubernetes-based platform, observability, AI-enabled workloads, CI/CD, and infrastructure as code. Collaborates with software, DevOps, security, and AI/ML teams to provide a simple, dependable developer experience.

Responsibilities

  • 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 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.

Qualifications

  • 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 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.
  • Clear written and verbal communication skills, with an ability to work effectively across engineering disciplines.

Skills

Required:KubernetesInfrastructure as CodeCI/CDObservabilityProgramming/Scripting

Benefits

  • AMD benefits at a glance.
Last updated Oct 22, 2026. Interested? Apply on the company site.
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AMD delivers leadership high-performance and adaptive computing solutions to advance data center AI, AI PCs, intelligent edge devices, gaming, & beyond.

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