Required qualifications
· 10+ years of software engineering; strong Python and/or TypeScript
· Deep Azure expertise: infrastructure-as-code (Bicep or Terraform), networking, identity, container platforms, Azure AI services
· Production LLM or agentic systems you personally built and ran end to end — data flows, orchestration, deployment, evaluation, incident response — be prepared to walk through the most recent one
· Evaluation engineering: you design and build eval suites — datasets, metrics, regression tests wired into CI — and hold them as release gates, not demos
· Ownership of CI/CD pipelines (GitHub Actions, Azure DevOps, or equivalent)
· Identity-aware API and integration design
· Sound judgment partnering with vendors while keeping core capability in-house
· AI-augmented development as your default — we work with Claude and Microsoft Copilot, and expect them in your daily build loop
Preferred qualifications
· Model Context Protocol (MCP) implementation experience
· SAP or other enterprise ERP integration exposure
· Experience with enterprise integration/automation (iPaaS) platforms
· Prior technical-lead or mentoring experience
· Regulated or industrial-sector environments
