Engineering Manager

Engineering Manager Full Stack

Location: Gurgaon

Function: Engineering

Reports to: CTO

Team size: 78 engineers (startup pod)

Why this role

Were building an enterprise-grade AI-powered recruitment platform with scalable services, polished UIs, and reliable integrations. Youll 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 youll do

• Own delivery end-to-end: roadmap, execution, quality, and timelines for full-stack features and platforms.
• Be hands-on (3050% 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, auditspartner 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 (1520%): 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 youve done (must-haves)

• 10+ years in software; 4+ years leading engineers (TL/EM) in high-velocity product teams.
• Strong coding in Java, Python, and TypeScript/Node ; proven system design and API fundamentals.
• Shipped and operated production full-stack products at scale (web UI + backend services + DB).
• Frontend exposure to React or Angular ; mobile (Flutter) is a plus.
• Experience with SQL databases (Postgres, MariaDB ): schema design, migrations, performance tuning.
• Comfortable with DevOps : GitHub Actions, Docker, basic Kubernetes, IaC (Terraform), and one major cloud (GCP/AWS/Azure).
• Observability mindset: logs/metrics/traces, dashboards/alerts, release health, and error budgets.
• Product mindset: measure outcomes (quality, cost, speed), not just outputs; data-driven decisions.
• AI familiarity: LLM basics, prompt patterns, RAG concepts, vector stores, and evaluation at a feature level.
• Familiarity with AI SDLC tools (Copilot, Cursor, Claude Code) and test automation.

Nice to have

• HRTech/recruitment domain (ATS/CRM, assessments, interview orchestration).
• Hands-on with LLM tooling (LangChain/LlamaIndex/DSPy), vector DBs (pgvector/FAISS/Pinecone/Weaviate).
• Workflow engines (Temporal/Prefect), event streaming, or multi-tenant SaaS at scale.
• Privacy-preserving patterns, regionalization, and policy/guardrail systems.