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Remote Distributed Systems Engineer Jobs (NOW HIRING)

Remote - United States Department: Engineering Employment Type: Full-Time, Exempt Responsibilities * Design and build distributed systems that tolerate latency, bandwidth constraints, and ...

Location: Remote - Flexible work location (Preference is North America) Remote Full-time ... Advanced proficiency in Rust and strong systems programming experience. * Distributed Systems:

This position is remote within the United States. Role Summary: We're looking to hire a Distributed Systems Engineer to build scalable services, APIs, frameworks, and internal tooling that process ...

While distributed systems experience is valuable, we care just as much about strong programming fundamentals, sound judgment, and the ability to learn fast. The team is small. Your decisions ship ...

Senior Distributed Systems Engineer

$107K - $146K/yr

Distributed Systems Engineer to Build the Future of Enterprise AI SaaS Location ... Remote (US time zones preferred) | Full-time Are you a distributed systems wizard who dreams of ...

Distributed Systems Engineer

New York, NY · On-site +1

$125K - $250K/yr

Our office is in NYC and working in person in NY is our strong preference, but we're open to remote ... The Role We are looking for a distributed systems engineer to join a startup using zero-knowledge ...

In addition, we are open to remote candidates. We value what you can do, from anywhere in the U.S ... full-stack developers, distributed systems engineers, and data scientists. Folks have the ...

Senior Distributed Systems Engineer

Austin, TX · Remote

$103K - $141K/yr

DomainTools is looking for a Senior Distributed Systems Engineer (Sr. DSE) to join our Real-Time ... Although we are a remote friendly organization and provide great benefits and outstanding perks.

About the Role We're looking for a distributed systems engineer to expand the reach and ... This position is fully remote and may require up to 10% travel based on business needs or as ...

Senior Distributed Systems Engineer

Pittsburgh, PA · On-site +1

$101K - $138K/yr

DomainTools is looking for a Senior Distributed Systems Engineer (Sr. DSE) to join our Real-Time ... Although we are a remote friendly organization and provide great benefits and outstanding perks.

This position is remote within the United States. Role Summary: We're looking to hire a Senior Distributed Systems Engineer to build scalable services and APIs that process vast amounts of data and ...

Senior Distributed Systems Engineer

Atlanta, GA · Remote

$100K - $137K/yr

DomainTools is looking for a Senior Distributed Systems Engineer (Sr. DSE) to join our Real-Time ... Although we are a remote friendly organization and provide great benefits and outstanding perks.

Senior Distributed Systems Engineer

Raleigh, NC · Remote

$101K - $139K/yr

DomainTools is looking for a Senior Distributed Systems Engineer (Sr. DSE) to join our Real-Time ... Although we are a remote friendly organization and provide great benefits and outstanding perks.

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Remote Distributed Systems Engineer information

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$127.2K

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How much do remote distributed systems engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote distributed systems engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.
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What cities are hiring for Remote Distributed Systems Engineer jobs? Cities with the most Remote Distributed Systems Engineer job openings:
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Infographic showing various Remote Distributed Systems Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 4% As Needed, 93% Full Time, 1% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.
Distributed Systems Engineer

Distributed Systems Engineer

ThisWay

Remote

Full-time

Posted 7 days ago


Job description

ThisWay Global is looking for a Distributed Systems Engineer in a remote role within the United States.
ThisWay Global, Inc. is an AI-first technology company headquartered in Texas, operating at the intersection of artificial intelligence, data center infrastructure, and workforce solutions.
The company operates across three primary business areas:
  • ADCAP - AI & Data Center Acceleration Platform: A data center development and operations platform supporting accelerated deployment timelines and NVIDIA NVL72/GB300 GPU clusters.
  • Amalgamy.ai - AI Orchestration Software: An enterprise AI orchestration platform focused on GPU and compute utilization across AI environments.
  • Staffing & Workforce Solutions: AI-powered talent matching solutions connecting employers with candidates at scale.

This role focuses on building foundational distributed systems and operational infrastructure that support AI and exascale computing environments. The work emphasizes systems programming, distributed architecture, fault tolerance, and HPC-grade reliability.
Location: Remote - United States
Department: Engineering
Employment Type: Full-Time, Exempt
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.
  • 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.