Senior Backend Architect (Go)

About the Role

We are seeking a Senior Backend Architect with deep expertise in Go to lead the technical direction of our backend platform. This is a 100% hands-on role; you will not be an “architect in a meeting room.” Instead, you will write production code every day, working side-by-side with engineers to ship features and own services end-to-end.

You will be responsible for systems serving millions of concurrent users with extremely tight latency requirements, supporting 24/7 live operations.

What You’ll Do

• Core Development: Design and implement core backend services in Go, including APIs, real-time systems, data pipelines, and scalable infrastructure.
• Architectural Leadership: Set the direction for service boundaries, data models, consistency guarantees, and communication patterns such as gRPC, REST, and event-driven architectures.
• Client Partnership: Partner with Flutter and other client teams to define API contracts and SDK ergonomics, taking full responsibility for their developer experience.
• Redis Ownership: Architect and operate the caching layer (Redis), handling data modeling, hot-key mitigation, capacity planning, and failover strategies.
• Cloud Infrastructure: Own cloud decisions across AWS and/or GCP, focusing on managed services selection, networking, cost efficiency, and multi-region considerations.
• Technical Excellence: Lead technical design reviews, write RFCs, and elevate the team’s technical bar through code reviews, pairing, and providing reference implementations.
• Reliability & Performance: Drive an observability culture (metrics, traces, logs) and participate in on-call rotations and incident postmortems to turn lessons into systemic improvements.

Must-Have Requirements

• Engineering Experience: 8+ years of backend engineering experience, with at least 4+ years shipping production Go.
• High-Scale Systems: A proven track record of operating high-scale, low-latency systems (millions of MAU and >10k RPS class problems).
• Redis Expertise: Deep production-level experience with Redis, including data structures, clustering, latency tuning, and persistence strategies (e.g., ElastiCache, MemoryDB, or Memorystore).
• Cloud Proficiency: Strong cloud expertise in AWS or GCP, covering compute, networking, managed databases, and pub/sub systems.
• Distributed Systems: A deep grasp of fundamentals such as consistency models, partitioning, replication, idempotency, and graceful degradation.
• API Design: Strong instincts for REST and gRPC API design with a history of defining contracts that are easy for client teams to consume.
• Modern Tooling: Production experience with Kubernetes and hands-on experience with async messaging (Kafka, NATS, or Pub/Sub).
• Observability & Communication: A disciplined approach to instrumentation (“instrument before you guess”) and clear technical writing skills.