You will design, operate, and secure Azure‑based, Kubernetes‑centric infrastructure that underpins real‑time, model‑driven services

Client Details

This opportunity is with a large organisation in the financial services industry.

Description
Design, build, and manage production infrastructure on Microsoft Azure with Kubernetes as the core orchestration platform.Operate, monitor, and scale Kubernetes‑based services, leading incident response and reliability improvements.Partner with algorithm and application teams to deploy and run model‑serving and inference workloads in production.Build and refine CI/CD pipelines (e.g. GitHub Actions, Azure DevOps, GitLab CI) to enable fast, reliable releases.Champion infrastructure‑as‑code, DevOps best practices, and enhanced observability across the engineering stack.




Profile
Significant experience as a DevOps, Platform, or SRE Engineer supporting large‑scale, production systems.Deep hands‑on expertise with Azure services, Kubernetes, and observability tooling for distributed systems.Proven track record building and maintaining CI/CD pipelines and automating infrastructure through code.Comfortable collaborating with software and algorithm teams on model‑related or AI‑driven services; LLM or GPU


Job Offer
End‑to‑end ownership of a high‑impact Azure/Kubernetes platform, with direct influence over architecture, tooling, and DevOps practices.Cutting‑edge exposure to AI/ML and potentially LLM and GPU‑based workloads, working closely with algorithm and product teams in real production environments

Skills

Devops