Engineering Manager

Responsibilities:

• Delivery and execution. Sprint health, scope discipline, and predictable delivery. You read a sprint like an operator and intervene early and specifically.
• Engineering excellence. The quality bar - code review, test coverage, observability, on-call health, and incident response. You review your team's PRs yourself.
• Technical leadership. You drive design and review it on the merits - database choices, idempotency, rate limits - across a Java and Python-based stack with Kafka, MongoDB, PostgreSQL, Temporal, and Snowflake.
• AI leverage. You use AI as a core operating practice to multiply your team's output, and you raise the team's AI bar in development, review, and instrumentation.
• Product partnership. You partner with Product as a peer - cross-questioning a brief, asking what's driving a metric and what to instrument before building.
• People leadership. 1:1s, growth, performance, and hiring. You read between the lines, name root causes, and treat engineers with dignity.

Requirements:

• 8-10 years of engineering experience, with 2+ years managing engineers as an EM / Sr. EM or equivalent.
• Hands-on depth in Java (primary) and/or Python, with distributed systems (Kafka, MongoDB, PostgreSQL, Redis, Temporal) and cloud (AWS, Kubernetes).
• A current, demonstrable AI-assisted development practice.
• Excellent written and verbal communication.
• A track record of hiring and growing engineers.

Skills

AWS, Java, Kafka, Kubernetes, MongoDB, PostgreSQL, Python, Redis, Temporal