Engineering Manager - Full stack

9 - 14 years

40 - 50 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role & responsibilities

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, 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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