Engineering Manager - Full stack

Why this role

We’re building an enterprise-grade AI-powered recruitment platform with scalable services, polished UIs, and reliable integrations. You’ll lead a small, high-leverage team that ships fast, measures rigorously, and keeps production healthy. A significant part of the work involves applying AI / LLM features where they clearly add value.

What you’ll do

• Own delivery end-to-end : roadmap, execution, quality, and timelines for full-stack features and platforms.
• Be hands-on (30–50% coding) : set the technical bar in Java / Python / TypeScript; review PRs; tackle complex bugs and design calls.
• Architecture & system design : microservices, APIs, eventing, data models, caching, and performance at scale.
• Frontend leadership : guide React / Angular patterns (state mgmt, routing, accessibility, perf), design systems, and CI for web.
• Backend excellence : build robust services in Node / TypeScript and / or Java / Python; secure, versioned REST / GraphQL APIs.
• Data & storage : design schema and queries for Postgres / MariaDB; tune indexes, migrations, and reliability.
• Quality & reliability : testing strategy (unit / integration / e2e), release health, SLIs / SLOs, error budgets, on-call.
• DevOps pragmatism : GitHub Actions, Docker, IaC (Terraform), basic Kubernetes; cost, scaling, and incident response.
• Security & compliance : tenancy isolation, PII handling, secrets, audits—partner with Security as needed.
• People leadership : recruit, coach, and grow a high-trust team; run effective rituals (standups, planning, postmortems).
• Stakeholder management : work with Product / Design / Recruitment SMEs; translate goals into clear, incremental roadmaps.
• Applied AI (15–20%) : integrate LLM features (e.g., smart search, summaries, assistive workflows); make build vs. buy calls; RAG / prompting where appropriate; track quality, latency, and cost.

What you’ve done (must-haves)

Nice to have