Platform Engineering · AI Automation · Cloud-Native
Infrastructure that works
the way it should.
Platform engineering, GitOps, and AI automation for engineering teams who want deployments to be routine, environments to provision themselves, and on-call to be boring.
What I do¶
Three practice areas. One common thread — engineering teams who want to move faster without accumulating debt.
Cloud platform engineering · AWS, Azure, and multi-cloud environments built on Terraform and Crossplane. Secure by default, observable from day one, ready to hand off to internal teams.
GitOps and Kubernetes · ArgoCD deployments, multi-cluster management, CI/CD pipelines, and Helm-based release strategies. Git as single source of truth across every environment.
AI and automation · MCP server development, n8n workflows, Copilot integration, and the agent infrastructure that makes AI actually useful in a production engineering context.
From the blog¶
Spec-Driven Development with Convention Files
How Liatrio's SDD prompts fit into the convention file ecosystem — and how to adapt them for platform engineering repos.
16 April 2026AI Convention Files in Practice: Jira
Working AGENTS.md examples for Jira — sprint review automation, velocity tracking, and release reports using JQL and MCP servers.
29 March 2026Sprint Reviews with Marp: Presentations as Code
Markdown slides, PlantUML charts, and AGENTS.md — how Marp turns sprint review decks into version-controlled, auto-populated presentations.
29 March 2026Who I've worked with¶
Enterprise-scale implementations across financial services, government, and technology sectors — Lloyds Banking Group, the Home Office, Barclays, Fujitsu. Active open source contributor to External Secrets Operator and Thanos.
Get in touch → surj@polarpoint.io · github.com/polarpoint-io