Engineering ManagerTaggd • Haryāna, Republic Of India, IN
Engineering Manager
Taggd • Haryāna, Republic Of India, IN
3 days ago
Job descriptionArchitecture & 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; Data & storage : design schema and queries for Postgres / MariaDB; Quality & reliability : testing strategy (unit / integration / e2e), release health, SLIs / SLOs, error budgets, on-call. DevOps pragmatism : GitHub Actions, Docker, IaC (Terraform), basic Kubernetes; Security & compliance : tenancy isolation, PII handling, secrets, audits—partner with Security as needed. People leadership : recruit, coach, and grow a high-trust team; Stakeholder management : work with Product / Design / Recruitment SMEs; Applied AI (15–20%) : integrate LLM features (e.G., smart search, summaries, assistive workflows); make build vs. buy calls; RAG / prompting where appropriate; 10+ years in software; Strong coding in Java, Python, and TypeScript / Node ; Shipped and operated production full-stack products at scale (web UI + backend services + DB). Frontend exposure to React or Angular ; 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; 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. 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.
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;
tacklecomplex bugs and design calls.
secure, versioned REST / GraphQL APIs.
tune indexes, migrations, and reliability.
cost, scaling, and incident response.
run effective rituals (standups, planning, postmortems).
translate goals into clear, incremental roadmaps.
track quality, latency,and cost.
What you’ve done (must-haves)
4+ years leading engineers (TL / EM) in high-velocity product teams.
proven system design and API fundamentals.
mobile (Flutter) is a plus.
data-driven decisions.
Nice to have
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Engineering Manager • Haryāna, Republic Of India, IN
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