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Job Description
We are engaging Senior Fullstack Engineers on a three-month contract to accelerate delivery of an enterprise-grade Quick Service Restaurant (QSR) platform — spanning point-of-sale (POS) and back-office operations, including ERP-level capabilities.
This is a senior-only engagement. We are looking for engineers who can:
Work full-stack across Go backend microservices and a cross-platform POS client.
Become productive in a live, complex codebase with minimal onboarding.
Operate independently across demanding domains such as order, payment, integration, and inventory.
Ideal candidates bring hands-on context in high-throughput transactional systems, third-party and payment integration, performance optimisation, and offline-first POS.
KEY RESPONSIBILITIES
Design, build, and extend features end-to-end across backend services and frontend clients
Implement transactional flows (ordering, payment, fulfilment) with reliability patterns — async processing, retries, and idempotency.
Build offline-first capability for POS: local-first data, store-and-forward sync, and conflict handling.
Integrate third-party and payment services.
Improve system performance: query optimisation, caching, and endpoint hardening.
Contribute to master data, inventory, and reporting capabilities.
Collaborate through code review and sprint-based delivery.
REQUIREMENTS
Must-have
Go backend microservices - Production experience; able to read and extend existing services quickly (hexagonal/clean architecture, gRPC and REST).
Query & database optimisation - PostgreSQL and MongoDB. Indexing, query / explain-plan analysis, N+1 elimination, batching.
Redis caching - TTL strategy, dedup, cache patterns on hot / high-traffic endpoints.
Full-stack delivery - Proficient in a TypeScript / React (React Native or React web) frontend.
Third-party integration - Payment and/or delivery-aggregator services. Async, polling, retry, and idempotency patterns.
Senior autonomy - Self-directed in complex domains with minimal onboarding. Disciplined Git workflow and code review.
Nice-to-have
AI-assisted development - Hands-on with Claude Code or similar agentic coding tools in a real workflow.
F&B / QSR / POS domain experience.
Delivery-aggregator integration experience.
Offline-first / edge patterns: outbox, store-and-forward, conflict resolution, SQLite / embedded stores.
Event-driven systems with RabbitMQ or similar message brokers.
MongoDB, OpenTelemetry observability, Kubernetes, React Native + Expo.
AI-assisted development is a core part of how this team works standard. Candidates need not be experts, but must be comfortable and productive pairing with an AI coding agent day-to-day — prompting effectively and reviewing AI-generated changes critically.
TECHNOLOGY STACK
Layer - Technology
Language & runtime
Go (backend services); TypeScript (frontend)
Backend : GoFiber (fasthttp); REST and gRPC / Protobuf for internal service-to-service
Databases : PostgreSQL; MongoDB; SQLite (embedded, offline POS)
Caching : Redis — hot lookups, reservation locks, dedup
Messaging : RabbitMQ — event-driven processing, outbox pattern
Frontend / POS : React Native + Expo; react-native-web to Electron desktop POS; TanStack Query; Zustand; shared component library
Observability : OpenTelemetry; Prometheus; continuous profiling
Testing : Go unit tests with mocks and containerised integration tests; Playwright (web E2E); Jest
Platform & CI/CD : Docker; Kubernetes; GitLab CI; database migrations; ULID for offline IDs
WAYS OF WORKING
Two-week sprints; PRD-ready work items are a prerequisite so senior capacity is used on delivery rather than discovery
AI-assisted development with Claude Code
Issue and sprint tracking (YouTrack); Git-based workflow with mandatory code review.
Microsoft 365 for email, documents, and collaboration.
Work arrangement
Yes
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