Distributed Systems Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and develop distributed systems capable of handling latency, bandwidth limitations, and intermittent connectivity.

• Implement communication strategies that are fault-tolerant, including retry logic, backpressure, caching, and eventual consistency patterns.

• Create maintainable, resilient, and thoroughly tested code in accordance with development standards and methodologies.

• Troubleshoot and enhance system performance, addressing networking and distributed coordination challenges.

• Contribute to systems primarily developed in Rust.

• Engage with system-level issues such as scheduling, memory management, I/O optimization, storage hierarchy management, and system reliability.

• Enhance performance and optimize memory usage in resource-constrained environments.

• Address concurrency issues and challenges related to distributed coordination.

• Design and manage APIs and communication layers for distributed components.

• Identify and mitigate tight coupling between services and systems.

• Diagnose and rectify cross-system failures in production settings.

• Create and implement secure, reliable solutions that align with engineering standards.

• Collaborate with engineers and computer scientists on operating systems internals, compiler design, fault tolerance, file system architecture, and trusted systems.

• Assist in resolving architectural and systemic challenges.

• Continue to enhance expertise in distributed systems, HPC infrastructure, and associated tooling.

⛳️ Requirements

• Proven experience in building distributed systems within environments characterized by low bandwidth, high latency, or unreliable communication links.

• Hands-on experience in developing systems using Rust or Go in production settings.

• Knowledge of failure modes in distributed systems and effective mitigation strategies.

• Familiarity with consistency models, coordination strategies, and state replication.

• Experience in designing APIs and communication layers for distributed components.

• Background in working within established architectures and delivering components of production quality.

• Understanding of systems-level concepts such as durability, reliability, and operational behavior.

• Ability to work independently while effectively 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 environments with constrained networks.

• Familiarity with message queues, event-driven systems, or streaming architectures.

• Exposure to consensus algorithms or distributed coordination primitives.

• Expertise in concurrency, memory management, or performance optimization within production systems.

• Experience contributing to developer tooling, internal platforms, or infrastructure-layer components.

🏝️ Benefits

• Remote work opportunities available within the United States.

• Chance to engage in projects involving distributed systems that support AI and exascale workloads.

• Collaboration with engineers proficient in operating systems internals, compiler design, fault tolerance, file system architecture, and trusted systems.

• Exposure to AI infrastructure, HPC, and large-scale distributed computing environments.