About
Engineering Manager at ANZ working on cloud-native platforms, developer experience, and bringing agentic AI into the software delivery lifecycle.

Dipjyoti Metia
Engineering Manager · Melbourne, Australia
I'm an engineering manager who still builds — happiest working on the platforms and tooling that make other teams faster. I work across microservices, event-driven systems, and cloud-native architecture — mostly in Golang and TypeScript — and I'm increasingly focused on putting agentic AI and LLMs to practical use across the delivery lifecycle: test generation, evaluation, and the human-in-the-loop guardrails that keep them safe in production.
Engineering philosophy
Agentic AI earns its place in the delivery lifecycle only when it's paired with evaluation and human-in-the-loop guardrails. The goal isn't automation for its own sake — it's giving engineering teams real leverage (test generation, scenario modelling, natural-language tooling) without trading away the reliability, observability, and quality that production systems depend on.
From quality engineering to engineering leadership
As Engineering Manager for Enablement Engineering at ANZ, I lead the platforms and shared tooling underneath core digital banking services, with a focus on reliability, observability, and developer experience. The role runs from strategy through to hands-on engineering — and an increasing part of it is working out where agentic AI and LLM-assisted automation genuinely speed teams up without trading away safety or quality.
- Platform Engineering
- Quality Engineering
- Agentic AI
- Team Leadership
Technical Skills
- Golang
- gRPC
- Python
- TypeScript
- Docker
- Kubernetes
- Google Cloud
- AWS
See my full background and certifications on therésumé.
Connect your AI to this site
This site runs a Model Context Protocol (MCP) server — so instead of asking an AI to guess about my work, point your own assistant (Claude, Cursor, …) at it and query my writing, projects, and experience straight from the source. Or try it right here — this calls the live server:
// type a query and hit run — or tap a tool above
add it to your own client →
endpoint
https://dipjyoti.dev/v1/mcp/
{
"mcpServers": {
"dipjyoti-dev": { "url": "https://dipjyoti.dev/v1/mcp/" }
}
}Tools: search_writing,get_post,list_projects,get_experience.
Recent Writing
- Slidesagentic-aitooling
The AI-Native SDLC Blueprint: Move the Bottleneck Beyond Code
A slide-based reading of Anthropic's AI-native SDLC playbook: make intent, controls, evaluations, and feedback loops executable.
- testingtooling
A Test Platform Should Not Become Another Dependency
A quality platform succeeds when teams can use it independently, not when it becomes a gatekeeper for every change.
- llmevaluation
Three Rules for LLM-as-a-Judge
A model can help evaluate an AI system, but it cannot turn vague criteria into trustworthy evidence.