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.