Senior Distributed Systems Engineer

ThisWay

49d•Remote

About The Position

This role is responsible for designing and hardening distributed systems that operate reliably in imperfect conditions. The Senior Distributed Systems Engineer builds and maintains loosely coupled, resilient systems that function across unreliable, high-latency, or low-bandwidth environments. Success is defined by systems that degrade gracefully, recover effectively, and continue operating when ideal conditions are unavailable. This position ensures data flows reliably, services coordinate effectively, and distributed components behave predictably in variable network conditions.

Requirements

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

Nice To Haves

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

Responsibilities

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