design, build, and ship Python/FastAPI services on the platform, owning quality from acceptance criteria through to production
establish and enforce engineering guardrails through acceptance tests, architecture tests, and coded standards covering line limits, design patterns, import rules, and layering
use agentic editors (Claude Code, Cursor, etc.) as a core daily delivery tool and guide other engineers on safe, productive, and governed use
identify and mitigate agent failure modes in practice — including prompt injection, scope creep, hallucinated APIs, and unsafe code edits — before they reach production
work cross-functionally across cloud, AI, Snowflake, and application teams to proactively surface blockers, resolve ambiguity, and keep delivery momentum

6+ months of sustained, hands-on delivery using agentic editors (Claude Code, Cursor, or equivalent) in a real production codebase — evidenced with specific examples, not experiments or demos
strong Python and FastAPI in production — building application-layer backend services, not infrastructure scripting or automation
deep, practical understanding of agent failure modes and how to mitigate them within an engineering delivery workflow
acceptance and architecture testing fluency — writes tests before code by instinct, and can enforce coding standards programmatically through automated test suites
proven ability to lead technical delivery in ambiguous, fast-moving environments without a dedicated product manager

AI Enabled SDLC Engineer

Key skills