Architect distributed systems that tolerate latency, bandwidth constraints, and intermittent connectivity
Design loosely coupled services that reduce cross-system fragility
Implement fault-tolerant communication and state synchronization strategies
Develop systems that prioritize correctness, durability, and recovery
Implement retry logic, backpressure, caching strategies, and eventual consistency patterns
Ensure systems degrade gracefully instead of failing catastrophically
Design and maintain APIs and communication layers between distributed components
Identify and reduce tight coupling across services
Diagnose and resolve cross-system failures in production environments
Write efficient, production-grade code in Rust or Go
Optimize performance and memory usage in resource-constrained environments
Debug network behavior, concurrency issues, and distributed coordination challenges

Extensive experience building loosely coupled distributed systems
Experience working in environments with low bandwidth, high latency, or unreliable communication links
Knowledge of failure modes in distributed architectures and mitigation strategies
Ability to reason about consistency models, coordination strategies, and state replication
Experience writing production systems in Rust or Go
Experience solving systems-level engineering challenges
Focus on durability, reliability, and operational behavior

Preferred Qualifications

Experience with edge computing or constrained network environments
Familiarity with message queues, event-driven systems, or streaming architectures
Background in AI or HPC-related distributed systems
Experience debugging production networking issues
Exposure to consensus algorithms or distributed coordination primitives

Senior Distributed Systems Engineer

Key skills