Staff Distributed Systems Engineer
Fomo Labs · New York City
About this role
## Staff Distributed Systems Engineer ### About FOMO FOMO is a trading app built for everyday users—sign up in seconds and start trading right away, with no prior experience needed. Our social features are genuinely useful: follow top traders, view their full portfolios and trades, and spot opportunities early. Under the hood, we deliver best-in-class execution and data for experienced traders. - Over **3.4M+** onboarded users in just over a year - **$28B+** collective trading volume - **$100M+** revenue since launching (May 2025) - Raised **~$100M** from investors including **Benchmark, Index Ventures, and Union Square Ventures** Links: - https://fomo.family/ - https://x.com/fomo ### About the Role We’re looking for a **Staff Distributed Systems Engineer** to own the **reliability, scalability, and performance** of our **multi-region backend platform**. You’ll own critical shared infrastructure—**datastores, caches, messaging systems, and regional application services**—and design systems that stay predictable during traffic surges, dependency failures, infrastructure changes, and partial regional outages. You’ll also establish **failover and disaster-recovery** capabilities, including defining recovery objectives and implementing/testing the systems needed to safely recover services and data. This is a **hands-on** role with direct ownership of production systems. You’ll build and operate application and infrastructure components while improving data systems and observability. ### 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/regional failover** procedures - Help architect new features to operate at scale from day one - Level up the team on thinking about scale ### Qualifications - **12+ years** backend/platform/infrastructure engineering experience (or equivalent) - Experience designing/debugging **distributed, high-throughput production systems** - Strong **PostgreSQL** experience (query performance, indexing, connection pooling, replication, transaction contention, failure modes) - Strong experience with **Redis-compatible systems** (Redis, Valkey, Dragonfly, KeyDB), including sharding, replication, memory management, hot keys, and failure handling - Experience operating services on **AWS** (ideally **ECS, RDS, ElastiCache**) - Experience with **infrastructure as code** (preferably **Terraform**) - Proficiency in **Go**, **TypeScript/Node.js**, or a comparable systems-oriented language - Hands-on experience designing/testing **failover & disaster recovery** (backup restoration, replication, regional failover, **RTO/RPO validation**) ### Nice to Have - Experience with **NATS JetStream, Kafka**, or another durable messaging system - Familiarity with **Datadog APM** and **AWS Performance Insights** - Experience performing live **datastore/cache topology migrations** - Experience operating systems with **bursty/unpredictable traffic** - Experience in **financial/trading/crypto/gaming** or other high-throughput systems ### Compensation & Benefits - Competitive cash compensation and equity - Comprehensive health insurance (medical, dental, vision) + tax savings benefits (HSAs/FSAs) - 401
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