Engineering Manager

5 days ago

gurgaon district, India Taggd Full time

Engineering Manager — Full Stack Location: Gurgaon Function: Engineering Reports to: CTO Team size: 7–8 engineers (startup pod) 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)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.

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