Job Title

Engineering Manager — Full StackLocation: GurgaonFunction: EngineeringReports to: CTOTeam size: 7–8 engineers (startup pod)Why this roleWe’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)- 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.