Engineering Manager - Agentic SDLC

Requirements:
9+ years in software engineering with 3+ years managing engineers directly, including hiring and performance management.
Strong technical grounding in Java, Spring Boot, and microservices enough to review a design doc critically, push back on an architecture, and read a PR. You will not be writing most of the code, but you cannot be a spectator.
Hands-on experience leading a team through agentic SDLC adoption in the last 12 months with tools such as Claude Code, Cursor, Codex, Devin, Copilot agent mode, or equivalent, applied across at least three of: design, implementation, review, testing, and production debugging.
Demonstrated ability to change process, not just tooling: concrete examples of estimation, review, or QA practices you rewrote because agentic workflows made the old ones wrong.
A clear point of view on the failure modes: review fatigue, plausible-but-wrong tests, context loss on large codebases, skill atrophy in junior engineers, and inflated velocity that hides quality debt.
Plus what you did about each.
Track record of delivering in production with real accountability for reliability and on-call.
Strong stakeholder management across product, domain experts, and leadership.
Nice to have:
Scaled a team's output measurably (with the metrics to back it) after agentic adoption.
Built or sponsored internal agent tooling: custom agents, MCP integrations to Jira/BigQuery/observability, repo-level instruction files.
Experience rethinking career ladders or interview loops for an agent-assisted engineering org.
LLM evaluation, regression harnesses, or accuracy pipelines.
Observability practice ownership (New Relic, Datadog, Prometheus/Grafana) and agent-assisted incident triage.
Healthcare, FHIR/HL7 or medical coding domain exposure.
GCP or AWS; PostgreSQL, Elasticsearch, Neo4j.

Experience
9-13 yrs