Contract: Senior CI/CD Engineer

As a Senior CI/CD Engineer on Platform Engineering, you will improve how hundreds of engineers build, test, and ship software. You will help operate CI/CD systems at a meaningful scale, modernize pipelines (including migration work), and improve reliability and developer experience for teams across the Marketplace and our AI and Machine Learning business unit, Umami. This role includes on-call support during Pacific Time business hours (9 AM to 6 PM PT).

Responsibilities:

• Design, implement, and maintain CI/CD pipelines and shared build tooling that improve throughput, reliability, and developer experience, with clear success metrics captured in Focals.
• Deliver pipeline migrations (for example, Jenkins or Tekton to GitHub Actions) by creating automation, templates, guardrails, and documentation that reduces friction for service owners.
• Diagnose and resolve CI incidents and performance bottlenecks through hands-on troubleshooting, root cause analysis, and follow-up improvements that prevent repeat issues.
• Build and evolve Kubernetes-based automation workflows (for example, Argo Workflows) to reduce manual steps and standardize common delivery patterns.
• Partner with internal stakeholders to understand requirements, set expectations, and communicate progress clearly, especially during high-impact changes.
• Uphold security and compliance best practices across the delivery stack, including access controls, secrets handling, and infrastructure as code practices using Terraform.

Must Haves (Required Skills):

• Strong production experience building and operating CI/CD systems, including hands-on work with GitHub Actions and at least one of Jenkins or Tekton.
• Solid AWS and Kubernetes experience, including operating workloads on EKS and working with services such as IAM, ECR, S3, and RDS.
• Proficiency with Terraform and a practical approach to safe, repeatable infrastructure changes.
• Ability to write and maintain automation code in Python, plus one of Java or JavaScript/TypeScript, with a focus on reliability and maintainability.
• Adaptive AI proficiency: you integrate AI tools into engineering workflows to speed up troubleshooting, automation, and documentation, and you validate outputs for accuracy, security, and operational risk.