Key skills
CloudDockerPythonTypeScriptGoAILLMGitHubCI/CD
About this role
Role Overview
- own the AI Ops platform layer
- build and maintain custom MCP connectors
- implement CI/CD pipelines, automated testing, and deployment workflows
- collaborate with the AI Ops Engineer on technical designs
- co-own the technical implementation of skill governance
- progressively automate governance steps
- implement adoption tracking and usage instrumentation
- define and enforce platform standards
- act as a go-to consultant for Business Unit engineers
- co-own application maturity with Business Unit engineers
- create reusable patterns, templates, and reference implementations
- bridge PDE best practices and tooling into the Business Unit context
Requirements
- built and operated production systems end-to-end
- sound architectural decisions without needing sign-off
- expert in at least one of Python, TypeScript, or Go
- strong understanding of containerisation (Docker)
- experience with authentication and authorisation systems
- solid experience with a major cloud provider
- proven experience with CI/CD principles and GitHub-based automation
- proven hands-on experience building LLM-powered applications
- solid understanding of MCP or similar AI integration patterns
- experience with skills-based or plugin-based AI architectures
- works with an AI-first approach
- collaborates strongly with other Engineers and stakeholders
- produces clear engineering documentation
- strong sense of ownership
- builds systems with internal consumers in mind
- bias toward shipping over perfecting
- navigates ambiguity well
- self-directed and autonomous
- curious and constantly learning
- solution-oriented
Tech Stack
- Cloud
- Docker
- Python
- TypeScript
- Go
Benefits
- catered lunches
- team events
- cool merch
- equity for full-time team members
- scaling with intelligence focus
- strong focus on AI