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Distributed Systems Engineer
Location
United States
Posted
30 days ago
Salary
0
Seniority
Senior
Job Description
Distributed Systems Engineer
ThisWay Global
• 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.
Job 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.
- Experience working within established architectures and delivering production-quality components.
- Understanding of systems-level concepts including durability, reliability, and operational behavior.
- Ability 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.
- Exposure to 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.
Benefits
- Remote work within the United States.
- Opportunity to work on distributed systems supporting AI and exascale workloads.
- Collaboration with engineers experienced in operating systems internals, compiler internals, fault tolerance, file system architecture, and trusted systems.
- Exposure to AI infrastructure, HPC, and large-scale distributed computing environments.
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