Distributed Systems Engineer

Responsibilities

• Design and build distributed systems that tolerate latency, bandwidth constraints, and intermittent connectivity
• Implement fault-tolerant communication strategies, retry logic, backpressure, caching, and eventual consistency patterns
• Write maintainable, resilient, and tested code following development standards and methodologies
• Debug and improve system behavior, including networking and distributed coordination issues
• Contribute to systems written primarily in Rust
• Work with system-level concerns including scheduling, memory management, I/O optimization, storage hierarchy management, and system reliability
• Optimize performance and memory usage in resource-constrained environments
• Debug concurrency issues and distributed coordination challenges
• Design and maintain APIs and communication layers between distributed components
• Identify and reduce tight coupling across services and systems
• Diagnose and resolve cross-system failures in production environments
• Design and implement secure, reliable solutions aligned with engineering standards
• Collaborate with engineers and computer scientists on operating systems internals, compiler internals, fault tolerance, file system architecture, and trusted systems
• Contribute to resolving architectural and systemic issues
• Continue developing expertise in distributed systems, HPC infrastructure, and related tooling

Requirements

• Experience building distributed systems in environments with low bandwidth, high latency, or unreliable communication links
• Production experience developing systems in Rust or Go
• Understanding of distributed systems failure modes and mitigation strategies
• Knowledge of consistency models, coordination strategies, and state replication
• Experience designing APIs and communication layers between distributed components
• Understanding of systems-level concepts including durability, reliability, and operational behavior
• Able to work independently while collaborating with technical leadership

Preferred Qualifications

• Experience with HPC environments, exascale computing, or AI/ML infrastructure
• Exposure to operating systems internals, compiler design, or language runtimes
• Experience with edge computing or constrained network environments
• Familiarity with message queues, event-driven systems, or streaming architectures
• Experience with consensus algorithms or distributed coordination primitives
• Experience with concurrency, memory management, or performance optimization in production systems
• Experience contributing to developer tooling, internal platforms, or infrastructure-layer components