Senior Fullstack Engineer  

About the Role

We're looking for a Senior Fullstack Engineer who can design and ship end-to-end product features — from database schema to polished UI — with a strong command of AI integration. You'll be embedded in a cross-functional team working on high-impact Insurance features, collaborating with product, design, and data to deliver scalable, production-grade systems.

You're not just writing code; you're shaping architecture decisions, mentoring peers, and actively leveraging AI tooling to raise team velocity.

Core stack: Golang · PostgreSQL · Next.js · LLM/AI Integration · Docker

What You'll Do

• Design and build production-grade REST / gRPC APIs in Go — clean architecture, testable, observable
• Own the data layer: schema design, complex queries, indexing strategies, and migrations in PostgreSQL
• Deliver full-featured Next.js UIs using App Router, Server Components, and TypeScript — from feature spec to production
• Integrate LLM/AI capabilities into product features — prompt engineering, RAG pipelines, embeddings, or agentic workflows
• Contribute to system design discussions and drive architectural decisions for new features
• Write thorough tests (unit, integration, e2e) and uphold code quality through reviews
• Collaborate with product and design to break down complex requirements into clear technical specs
• Mentor mid-level and junior engineers through code reviews and pair sessions

Who You Are

• You ship with ownership — you don't hand off a ticket and wait; you follow it to production. You're curious about AI not as a buzzword but as a genuine tool that changes what teams can build. You write code that your future self and teammates won't hate.
• Strong communicator — can explain technical tradeoffs to non-engineers
• Pragmatic about perfectionism — knows when to polish and when to ship
• Self-directed with minimal hand-holding in ambiguous problem spaces
• Genuinely excited about AI tools and actively uses them in day-to-day work
• Willing to work from office at South Jakarta

Experience & Seniority

• 5+ years of engineering experience, at least 3 years in a fullstack or backend-heavy role
• Proven track record delivering features end-to-end — schema to production — with minimal supervision
• Experience in cross-functional teams with product managers, designers, and data analysts
• Prior involvement in design reviews, RFC processes, or ADRs
• Able to break down ambiguous requirements into clear, executable technical specs
• Experience building insurance domain systems — policy management, claims, or underwriting

Backend — Go (Golang)

• Proficient in idiomatic Go: interfaces, goroutines, channels, context propagation, error wrapping
• RESTful and/or gRPC services — middleware, request validation, structured logging
• Concurrency patterns — worker pools, fan-out/fan-in, rate limiting, graceful shutdown
• Go testing: table-driven tests, interface mocks, integration test setups
• Experience with Gin, Echo, Chi, or go-kit

Database — PostgreSQL

• Deep PostgreSQL comfort — schema ownership, not just CRUD
• Complex queries: CTEs, window functions, lateral joins, recursive queries
• Index design — B-tree, Gin, partial indexes — and Explain Analyze proficiency
• Zero-downtime migrations: expand-contract, background backfills
• Transaction isolation, locking behavior, and deadlock prevention
• Connection pooling (PgBouncer) and long-running transaction implications

Frontend — Next.js & TypeScript

Next.js App Router — layouts, route handlers, loading/error boundaries

• React Server Components and server/client rendering boundary
• Typed TypeScript — discriminated unions, generics, utility types, strict mode
• State management: Zustand, Jotai, TanStack Query, or Redux Toolkit
• shadcn/ui, Radix, Tailwind css— accessible, responsive interfaces
• Authentication: NextAuth, jwt, OAuth 2.0

Ai & Llm Integration

• Production experience with llm APIs (OpenAI, Anthropic, Gemini, or equivalent)
• Prompt engineering: roles, few-shot prompting, chain-of-thought, output formatting
• Rag pipelines: chunking, embeddings, vector search, re-ranking
• Output evaluation — structured validation, hallucination mitigation, fallback handling
• Cost/latency awareness — token budgeting, streaming, caching, model selection

Infrastructure & DevOps

• Docker and Docker Compose for local and staging environments
• Ci/Cd (GitHub Actions or equivalent) — testing, linting, deployment gates
• Cloud (aws or gcp) — compute, storage, managed databases, secret management
• Observability: structured logging, OpenTelemetry, Prometheus/Grafana
• Redis — caching, pub/sub, or job queuing (Asynq, BullMQ)
• Engineering Craft & Collaboration
• Clean, reviewable code — meaningful naming, low coupling, clear separation of concerns
• Testing discipline — unit, integration, and e2e as definition of done
• Constructive code reviewer — feedback that improves quality and author understanding
• Documents decisions — ADRs, runbooks, api docs, inline comments
• Git workflows — branching, rebasing, squash commits, conventional commits

Nice to Have

• Workflow orchestration: n8n, Temporal, Prefect, or Airflow
• Event-driven architecture — Kafka, nats, or RabbitMQ
• Background in insurtech, fintech, or regulated industries
• Prior experience as tech lead or mentor in a team of 3+ engineers