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Network Distributed Systems Engineer Jobs (NOW HIRING)

Debug and improve system behavior, including networking and distributed coordination issues ... Collaborate with engineers and computer scientists on operating systems internals, compiler ...

They are seeking experienced Distributed Systems Engineers to build core infrastructure for their ... network protocols • You want to be part of the entire product development process, from customer ...

Distributed Systems Engineer

Austin, TX · On-site

$100K - $200K/yr

Kwil Distributed Systems Engineer Kwil is a decentralized SQL database, built to enable advanced dApps and scalable composability. Backed by FTX Ventures, Blockchange, AlleyCorp, Amplify Partners ...

Distributed Systems Engineer

Austin, TX · On-site

$100K - $200K/yr

Kwil Distributed Systems Engineer Kwil is a decentralized SQL database, built to enable advanced dApps and scalable composability.Backed by FTX Ventures, Blockchange, AlleyCorp, Amplify Partners, DCG ...

Kwil Distributed Systems Engineer Kwil is a decentralized SQL database, built to enable advanced dApps and scalable composability.Backed by FTX Ventures, Blockchange, AlleyCorp, Amplify Partners, DCG ...

Kwil is a decentralized SQL database company looking for a Distributed Systems Engineer to support the development of distributed SQL database nodes. The role involves collaborating with the ...

... distributed systems at scale, event-driven pipelines, and data platforms that have to perform under the weight of the financial world. • Work closely with engineering leadership and across the team ...

Distributed Systems Engineer

New York, NY · On-site

$200K - $400K/yr

Distributed Systems Engineer Build the future of investment management with us The infrastructure managing $300 trillion in assets was built in the 90s. Now, all of it is up for grabs. The winner of ...

The role involves designing and engineering systems for complex ML and ETL pipelines to ensure ... hyper-fast distributed systems at the scale of thousands of GPUs • building great internal ...

Role As a distributed systems engineer, you'll work across the stack to solve problems as they come up and help build Archil volumes. You'll have significant influence over the technical and product ...

Experience with high-scale distributed systems * Experience leading teams and mentoring more junior developers * Familiarity with Typescript and a relevant frontend framework (e.g. React) * You've ...

We are looking for a deeply hands-on Senior Distributed Systems Engineer to join the team building IonQ's Network and Security Platform. You will own the backend services - ingestion pipelines ...

Distributed systems and data pipeline engineering. Time-series observability stacks (Prometheus, Thanos, VictoriaMetrics). API design and versioning at scale. Workflow and orchestration engines ...

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Network Distributed Systems Engineer information

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

As of Sep 10, 2026, the average yearly pay for network distributed systems engineer in the United States is $109,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $133,500.00 per year, depending on experience, location, and employer.

How much do network distributed systems engineers make?

Network distributed systems engineers typically earn a median annual salary ranging from $90,000 to $130,000, depending on experience, location, and certifications. Advanced skills in network architecture, distributed computing, and familiarity with tools like Kubernetes or cloud platforms can influence compensation levels.

What are popular job titles related to Network Distributed Systems Engineer jobs?

For Network Distributed Systems Engineer jobs, the most frequently searched job titles are:

Infographic showing various Network Distributed Systems Engineer job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $109,040 per year, or $52.4 per hour.

Distributed Systems Engineer

Remote

ThisWay
Software Development • 11 - 50 employees

Full-time

Re-posted 15 hours 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.