Staff Distributed Systems Engineer: Scale & Reliability

fomo; New York (NY); On-site; USD 180,000 - 280,000; Full time

Job summary

fomo is seeking a Staff Distributed Systems Engineer to own the reliability, scalability, and performance of our multi-region backend platform. You will own critical shared infrastructure, including datastores, caches, messaging systems, and regional services, ensuring predictable operation during traffic surges and outages.

You will establish failover capabilities and recovery objectives, build and test disaster-recovery systems, and directly own production systems, improving observability and

Qualifications

• 8+ years of backend, platform, or infrastructure engineering experience.
• Experience designing and debugging distributed, high-throughput production systems.
• Strong PostgreSQL experience and Redis-compatible systems.

Responsibilities

• Design and operate high-throughput, multi-region services.
• Improve datastore and cache performance, capacity, replication, and failure handling.
• Implement backpressure, concurrency limits, load shedding, rate limiting, circuit breakers, and bounded retries.
• Reduce cross-region latency and improve data locality.
• Design and test service, datastore, and regional failover procedures.
• Help architect new features to operate at scale from day one.
• Level-up the team on how to think about scale.

Skills

Backend engineering

Distributed systems design

Go/TypeScript

Performance tuning

Tools

PostgreSQL

Redis

AWS (ECS, RDS, ElastiCache)

Terraform

Job description

fomo is seeking a Staff Distributed Systems Engineer to own the reliability, scalability, and performance of our multi-region backend platform. You will own critical shared infrastructure, including datastores, caches, messaging systems, and regional services, ensuring predictable operation during traffic surges and outages.

You will establish failover capabilities and recovery objectives, build and test disaster-recovery systems, and directly own production systems, improving observability and