Engineering Manager

We're hiring an EM who has already run a team through this transition. Not someone who approved a Copilot licence purchase; someone who reorganised how their team plans, reviews, and ships, and can tell us what got worse before it got better.

Responsibilities:

• Team leadership: Lead a team of 6-10 backend and platform engineers: hiring, performance, growth plans, and retention.
• Own delivery for your team's charter roadmap commitments, quality, and on-call health.
• Coach senior and lead engineers, including on the judgment calls that agentic workflows demand (what to delegate, what to review line-by-line, what never to automate).
• Own the agentic SDLC at team level.
• Own how your team applies agentic tooling across the full lifecycle: spec and design, implementation, review, testing, and production monitoring and hold the bar on where it doesn't apply.
• Redesign the process artefacts that agents break: story sizing and estimation, definition of done, review checklists, PR size norms, and test expectations for agent-authored changes.
• Define and enforce the quality gates: what merges on green tests, what requires human sign-off, what needs a design review before an agent touches it.
• Instrument the workflow and manage from data: cycle time, review latency, escaped defect rate, revert rate, coverage on agent-authored dis, incident MTTR.
• Report honestly on what moved and what didn't.
• Set guardrails for security, data handling, licensing, and compliance when agents have access to source code and production data with healthcare data; this is non-negotiable.
• Run enablement: onboard new hires into these workflows in weeks, not quarters, and build the internal know-how so it isn't concentrated in one or two people.
• Cross-functional: Partner with Product, Clinical/Domain, and Data teams on scope, sequencing, and trade-offs.
• Work with peer EMs and leadership on platform-wide standards, shared tooling, and headcount planning.
• Represent your team's technical direction in architecture reviews.

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.
• 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.

Skills

java, microservice, microservices, spring, spring boot