Engineering Manager Full stack

Role & responsibilities

Engineering Manager Full Stack

Location:

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.

Preferred candidate profile

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.