Software Engineer, DevOps
2022 – present- Lead the adoption of AI-driven software delivery, building agentic SDLC workflows ("AI software factories") for development teams.
- Enable large teams to adopt AI securely: controlled access to and deployment of MCP servers, cloud-hosted LLMs, guardrails and AI gateways.
- Keep internal tooling up to date and patched with zero downtime.
- Manage enterprise Kubernetes clusters (AKS) for scalability, reliability and high availability, including cluster migrations with minimal downtime.
- Designed Kubernetes roles for development teams with Rancher, streamlining access control and environment segregation.
- Configure VMs and deploy services on Kubernetes with Ansible and Helm.
- Cut mobile app build times by 40% on Azure DevOps through parallelism and caching; support teams across Node.js, Java, Kotlin and Swift.
- Set up Nexus Repository Manager with IQ Server as a dependency firewall, in line with DevSecOps practices.
- Integrated Datadog with Kubernetes for logs, traces, APM and monitors.
- Built proofs of concept for microservice feature environments (Signadot) and AI-assisted SDLC workflows, including an investigation agent that analyses outages from Datadog data; proposed adopting Backstage as an internal developer platform.