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Senior DevOps Engineer
- Austin, Texas, United States
- Austin, Texas, United States
About
THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD.
KEY RESPONSIBILITIES:
Design, build, and maintain CI/CD pipelines for continuous integration and delivery of software components across cloud and hybrid environments.
Architect and implement scalable automation solutions using Infrastructure as Code (IaC) tools such as Terraform, Helm, or Pulumi.
Deploy and manage containerized workloads on Kubernetes clusters (EKS, GKE, AKS, or OpenShift).
Cluster & Node Management for AKS/EKS, nodepools, replica sets.
Hands on with cloud best practices with S3, IAM, VPC, CloudFronts or similar Cloud infra.
Provisioning, maintenance and scaling Cloud native databases (RDS, Clickhouse) or similar.
Design and implement cloud infrastructure monitoring, alerting, and self‑healing mechanisms using tools like Prometheus, Grafana, or CloudWatch.
Manage cloud infrastructure across one or more providers (AWS, GCP, Azure) with a focus on reliability, cost optimization, and security posture.
Build, package, and distribute software for Linux‑based containerized ecosystems.
Collaborate with development teams to define branching strategies, code promotion workflows, and GitOps practices.
Perform code and infrastructure reviews; enforce DevSecOps best practices in the delivery pipeline.
Work in an Agile, test‑driven model with a bias toward automation and observability.
Create and maintain technical runbooks, architecture documentation, and user guides.
PREFERRED EXPERIENCE:
Strong scripting and automation skills in Python, Shell, and/or Go; Groovy for pipeline‑as‑code (Jenkinsfile).
Hands‑on expertise with container ecosystems: Docker, containerd, Kubernetes, and Helm.
Deep experience with at least one cloud platform: AWS (EKS, EC2, S3, IAM, VPC), GCP (GKE, Cloud Build), or Azure (AKS, Azure DevOps).
Proficiency with IaC tools: Terraform, Ansible, or Pulumi for provisioning and configuration management.
Strong expertise with CI/CD platforms: Jenkins, GitHub Actions, GitLab CI, or Tekton.
Experience with GitOps tooling: ArgoCD, Flux, or equivalent.
Familiarity with Linux packaging (RPM, DEB) and software build systems (CMake, Make) for containerized driver or kernel module delivery.
Experience with artifact management: Artifactory, Nexus, or OCI‑compliant registries (Quay, ECR, GHCR).
Working knowledge of secrets management: Vault, AWS Secrets Manager, or Sealed Secrets.
Familiarity with observability stacks: Prometheus/Grafana, ELK/OpenSearch, or Datadog.
Experience building and maintaining custom solutions as wrappers on top of AWS/Azure clouds.
Championing self‑service designs reducing day‑to‑day cloud operations.
Multi‑substrate experience to scale one solution across multiple clouds.
Cross‑team collaboration.
Experience with source control management and code review workflows via GitHub Enterprise or Gerrit.
Contributions to open source projects are a definite plus.
PREFERRED ACADEMIC CREDENTIALS:
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
THIS ROLE IS NOT ELIGIBLE FOR VISA SPONSORSHIP.
EEO AND APPLICATION STATEMENTS AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee‑based recruitment services. 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 and 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. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
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Languages
- English
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