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.