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Distributed Systems Engineer Jobs (NOW HIRING)

Fluidstack

Distributed Systems Engineer

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Fluidstack

Distributed Systems Engineer

San Francisco, CA · On-site

$208K - $269K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Fluidstack

Distributed Systems Engineer

San Francisco, CA · On-site

$175 - $300/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

TecTammina

Distributed Systems Engineer

Portland, OR

... engineering practices like unit testing, profiling and effective logging. Experience in functional/scaleable languages (Scala preferred, Python, R may be considered) Experience delivering distributed ...

Axiom

Distributed Systems Engineer

New York, NY · On-site +1

$125K - $250K/yr

The Role We are looking for a distributed systems engineer to join a startup using zero-knowledge proofs to scale smart contract applications. You will be responsible for building Rust-based rollup ...

Archil

Sr. Distributed Systems Engineer

San Francisco, CA · On-site

$123K - $168K/yr

As a distributed systems engineer, you'll work across the stack to solve problems and help build Archil volumes, with significant influence over the technical and product direction. Responsibilities ...

Loxo

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 architecting the ...

Airship

Senior Distributed Systems Engineer

$107K - $146K/yr

They are seeking a Senior Distributed Systems Engineer to improve the efficiency and reliability of their large-scale distributed data system, focusing on performance enhancements and architectural ...

Archil

Sr. Distributed Systems Engineer

San Francisco, CA · On-site

$123K - $168K/yr

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 ...

Netflix

Distributed Systems Engineer, L5

$100K - $700K/yr

We are looking for Distributed Systems Engineers to help evolve and innovate our infrastructure. We are committed to building a diverse and inclusive team to bring new perspectives as we solve the ...

Netflix

Distributed Systems Engineer, L5

$100K - $700K/yr

We are looking for Distributed Systems Engineers to help evolve and innovate our infrastructure. We are committed to building a diverse and inclusive team to bring new perspectives as we solve the ...

IonQ

Senior Distributed Systems Engineer

Santa Clara, CA · On-site

$122K - $167K/yr

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 ...

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All JobsDistributed Systems Engineer Jobs

Distributed Systems Engineer information

See salary details

$53.5K

$127.2K

$167K

How much do distributed systems engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for 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.

What does a distributed systems engineer do?

A Distributed Systems Engineer designs, builds, and maintains large-scale systems that run across multiple machines or data centers. They ensure reliability, scalability, and fault tolerance by using technologies like cloud computing, containerization, and distributed databases. Their work often involves solving complex problems related to data consistency, network latency, and system coordination.

What are the key skills and qualifications needed to thrive as a distributed systems engineer?

To thrive as a Distributed Systems Engineer, you need a strong background in computer science, experience with large-scale system design, and proficiency in languages such as Java, Go, or Python. Familiarity with cloud platforms (like AWS, GCP, or Azure), container orchestration tools (such as Kubernetes), and distributed databases is commonly required, and certifications in cloud computing can be advantageous. Strong problem-solving abilities, collaboration, and excellent communication skills help you navigate complex issues and work effectively across technical teams. These skills are fundamental for designing, implementing, and maintaining robust distributed systems that perform reliably at scale.

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Distributed Systems Engineer jobs near you
Infographic showing various Distributed Systems Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, and 12% Hybrid job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

Distributed Systems Engineer

Fluidstack

San Francisco, CA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

About Fluidstack
We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.
We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.
We hire people who care deeply about this problem space. If that is you, please apply!
How We Operate
  • Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
  • Velocity. We drive everything forward as fast as possible.
  • First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
  • Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward. ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
  • Velocity. We drive everything forward as fast as possible.
  • First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
  • Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.
The Production Engineering Team
Examples of key exciting problems the team is working on
  • Make tens of thousands of GPUs legible in real time: build the observability platform that turns raw telemetry into signal, from site-level health down to individual device and link. At this scale, you cannot operate what you cannot see.
  • Build the control plane every team at Fluidstack depends on: replace one-off tooling with a stable, versioned API surface that covers unified machine management, actual state inspection, and distributed command execution. One interface for the whole company, not a hundred scripts.
  • Make the system's view of itself always match reality: integrate fleet state as a machine-readable source of truth across provisioning, operations, and customer-facing platforms, so every new site and GPU generation lands cleanly from day zero.
Role Scope
  • Own the observability platform. Build and operate the data pipelines, decoration and correlation engine, and healthcheck framework that make the fleet legible - from site down to device and link. No other team should need to scrape production directly to answer a question.
  • Define and build the API surface for infrastructure. Design the contracts between production infrastructure and every tool that touches it. All other teams at Fluidstack use your tooling to manage and operate our hyperscale fleet.
  • Build the production control plane. Unified machine management, actual state inspection, distributed command execution - and the Kubernetes-based infrastructure that underpins it all.
  • Own fleet state as source of truth. SLOs, site lifecycle state, and integration with internal infrastructure management and customer-facing operations platforms. What the system says about itself should match reality, and you're accountable when it doesn't.
  • Land new hardware into the platform cleanly. ZTP, DHCP, DNS, artifacts - every new XPU generation and site integration goes through IaaS before production.
What We're Looking For
The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.
  • You treat toil as a bug. If something requires a human to do it twice, you build the thing that makes it not require a human.
  • You design APIs that age well. You've felt the pain of a leaky abstraction at scale and you don't repeat it.
  • You move toward ambiguity, not away from it. You walk into the fog, build the map, and explain it to everyone else.
  • You learn at a steep slope. You reach real competence in an unfamiliar domain fast. We value this over existing expertise.
  • You carry a pager without flinching. You run the incident, write the postmortem, fix the systemic cause, and move on.
  • You're fluent with AI tooling. LLM APIs, MCP servers, and agentic frameworks, and you drive Claude Code, Cursor, or similar every day.
  • You've shipped production services that other teams depend on at scale, and you're comfortable in any language using AI coding tools.
  • Bonus: Distributed systems and data pipeline engineering. Time-series observability stacks (Prometheus, Thanos, VictoriaMetrics). API design and versioning at scale. Workflow and orchestration engines (Temporal, Cadence). BMC/Redfish or hardware telemetry. Go, Python, and Postgres.

Salary & Benefits
  • Competitive total compensation package (salary + equity).
  • Retirement or pension plan, in line with local norms.
  • Health, dental, and vision insurance.
  • Generous PTO policy, in line with local norms.

We are committed to pay equity and transparency.
Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

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