Own client workstreams from discovery through delivery. You’ll translate ambiguous goals into buildable plans, ship thin-slice outcomes rapidly, and harden them into production-ready solutions with quality, security, and observability. You’ll set patterns others can follow and actively use AI-assisted engineering safely (catching hallucinations, strengthening tests, and accelerating migrations/refactors).
Responsibilities
- Lead discovery-to-delivery cycles: scope, milestones, acceptance criteria, and risk management.
- Design and implement scalable UI architecture (React/Angular) and reliable Python services/APIs.
- Drive SQL performance work: window functions/CTEs, indexing strategy, query plan analysis, correctness guarantees.
- Establish team patterns: review checklists, testing standards, “definition of done,” and reusable components.
- Lead delivery hardening: CI/CD reliability, build/test automation, environment parity, and container-first local dev patterns.
- Improve observability: logs/metrics/traces and production debugging playbooks.
- Coach engineers on SOLID/MVC boundaries, DRY/KISS tradeoffs, and safe refactors.
- Lead AI-first workflows: spec + context packages, prompt patterns, verification gates, and regression tests.