Job Title: Senior DevOps Engineer
Team: Media Analysis Framework (MAF) - ML Video Content Pipelines
Job Summary
We are seeking a Senior DevOps Engineer to design, automate, and operate cloud and on‑prem infrastructure supporting ML‑driven video analytics platforms. This role requires strong hands‑on experience, ownership mindset, and the ability to collaborate across engineering, architecture, and business teams.
Responsibilities
- Design and implement infrastructure automation using Terraform and GitOps.
- Build and maintain CI/CD pipelines and Kubernetes‑based deployments.
- Collaborate with architecture and product teams on scalable deployment solutions.
- Monitor system health, reliability, and observability following SRE best practices.
- Troubleshoot issues across development, test, and production environments.
- Lead or independently deliver infrastructure projects end‑to‑end.
- Communicate risks, status, and timelines to stakeholders.
- Support development work in Go or Python when needed.
Required Experience
- 3-5+ years of experience in a DevOps or Platform Engineering role.
- Strong hands‑on experience with Kubernetes, Terraform, GitOps, and CI/CD.
- Experience with AWS (Azure or GCP is a plus).
- Solid Linux/Unix background.
- Experience with containers, Helm, microservices, and databases.
- Working knowledge of Git and Agile methodologies.
- Security‑focused mindset with attention to reliability and risk mitigation.
Preferred Qualifications
- Experience with Terragrunt, Pulumi, or similar IaC tools.
- Prior experience leading DevOps teams.
- Exposure to AI/ML platforms, GPU nodes, or data pipelines.
- Experience in observability, SRE, or production operations.
- Kubernetes, Terraform, or cloud certifications.
GCS is acting as an Employment Business in relation to this vacancy.
Senior DevOps Engineer
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