Job description

Senior/Lead DevOps Engineer

Location:

Remote

Contract

: B2B/freelance

Duration

: 6 months initial contract

We're looking for a DevOps Engineer to help maintain and evolve a large-scale internal platform while contributing to the build of a next-generation platform incorporating AI-driven operations.

This role sits at the intersection of traditional DevOps practice and applied AI, you'll work on real infrastructure while helping build and integrate AI tooling (including retrieval-augmented generation and agentic workflows) to move the team beyond manual, traditional debugging approaches.

What you'll be doing

Maintaining and supporting a multi-subsystem platform across a range of CI/CD pipelines
Contributing to the design and build of a new platform, with AI capabilities built in from the ground up
Working with vector databases and RAG-based approaches to support intelligent troubleshooting and triage
Helping build agentic workflows for automated incident triage, from the ground up
Managing infrastructure as code and deployment pipelines across GitLab/GitHub, Kubernetes/OpenShift, and ArgoCD
Collaborating closely with engineering teams to identify where AI tooling can replace manual, repetitive operational work

What you'll bring

Solid hands-on experience with Kubernetes and/or OpenShift in production environments
Experience with GitLab and/or GitHub, and GitOps workflows (ArgoCD)
Working knowledge of Terraform and/or Pulumi
Scripting ability and a working understanding of Python
Familiarity with SonarQube or similar code quality/static analysis tooling
Exposure to ITSM tooling and processes
Some exposure to RAG and agentic AI systems — hands-on experience building these is a significant plus
A collaborative approach and comfort working across teams with varying levels of technical depth

Nice to have

Go
Experience with vector databases (Pinecone, Weaviate, pgvector, or similar)