Distributed Systems Engineer

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ThisWay Global

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 $1.1M Equity Crowdfunding on 2021-12

Artificial Intelligence • B2B • SaaS

ThisWay Global is a technology company that specializes in aiding organizations with the adoption of AI and automation. The company focuses on maximizing return on investment by streamlining processes and leveraging big data, AI, and computational processing. They provide solutions for businesses, government, higher education, and research teams to alleviate time spent on low-value tasks. ThisWay Global emphasizes user-friendly systems and flexible automation to ensure impactful and efficient technology integration. Their platform is built to help organizations navigate the challenges related to AI and automation, enabling them to stay competitive in the evolving technological landscape.

📋 Description

• 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. • 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.