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Senior Distributed Systems Engineer Jobs (NOW HIRING)

$200 - $300/hr

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 ...

New

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

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

Senior Staff Distributed Systems Engineer

Santa Clara, CA · On-site

$122K - $167K/yr

We are looking for a deeply hands-on Senior Staff 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 ...

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 ...

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 ...

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 ...

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Senior Distributed Systems Engineer information

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$56K

$124.7K

$176K

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

As of Aug 22, 2026, the average yearly pay for senior distributed systems engineer in the United States is $124,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,000.00 per year, depending on experience, location, and employer.

What is a senior distributed systems engineer?

Senior Distributed Systems Engineers are experienced professionals who design, build, and maintain large-scale computing systems that run across multiple machines or locations. They focus on ensuring reliability, scalability, and performance of distributed applications, often dealing with challenges like data consistency, fault tolerance, and network latency. These engineers typically have deep expertise in distributed computing principles, programming languages, and cloud infrastructure. They also mentor junior team members and help architect robust solutions for complex technical problems.

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

A Senior Distributed Systems Engineer requires deep expertise in computer science fundamentals, scalable system architecture, and proficiency in programming languages such as Java, Go, or Python, often supported by a relevant degree and significant experience in distributed systems. Familiarity with tools like Kubernetes, Docker, Kafka, and cloud platforms (AWS, GCP, or Azure) is typically expected, along with knowledge of monitoring and CI/CD pipelines. Strong problem-solving, communication, and leadership skills help in tackling complex engineering challenges and collaborating across teams. These skills are crucial for designing robust, scalable, and reliable systems that support organizational growth and high availability.

What are some common challenges senior distributed systems engineers face when designing scalable systems?

Senior Distributed Systems Engineers often encounter challenges such as managing data consistency, ensuring fault tolerance, and minimizing latency across multiple nodes. Balancing trade-offs between availability and partition tolerance (as outlined by the CAP theorem) is a frequent consideration. Additionally, coordinating between development and operations teams to maintain system reliability and efficiently resolve issues that arise in production environments is crucial. Strong communication skills and a deep understanding of distributed architectures help address these complexities effectively.

What is the difference between Senior Distributed Systems Engineer vs Cloud Solutions Architect?

AspectSenior Distributed Systems EngineerCloud Solutions Architect
CredentialsBachelor's/Master's in CS or related, experience with distributed systemsBachelor's/Master's in CS, IT, or related, cloud certifications (AWS, Azure)
Work EnvironmentDesigning, developing, and maintaining distributed systems in tech companiesDesigning cloud infrastructure solutions for clients or internal teams
Industry UsageTech, finance, e-commerce, and enterprise sectorsIT consulting, cloud service providers, enterprise IT departments

The Senior Distributed Systems Engineer focuses on building and optimizing distributed computing systems, while the Cloud Solutions Architect designs cloud infrastructure solutions. Both roles require technical expertise and often overlap in cloud environments, but their primary responsibilities differ in scope and focus.

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What are the most commonly searched types of Distributed Systems Engineer jobs?

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Infographic showing various Senior Distributed Systems Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $124,732 per year, or $60 per hour.

$200 - $300/hr

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Job description

Everyone's building AI agents, but almost nobody gets them to production.

Building an impressive demo is easy. Building an AI agent that can securely take action inside enterprise systems is hard. The moment an agent accesses customer data, executes a workflow, or makes changes on behalf of a user, authorization, governance, and trust become the real engineering challenge.

Arcade is the MCP runtime that gives agents the power to do both seamlessly. We connect agents to the systems they act in, then give each one a permission slip and a paper trail - proof of what it's allowed to do, and a record of what it did. That's what makes AI safe to turn loose: real actions, on real systems, already shipping inside Fortune 100 companies.

The Revolution Needs You

Every AI app needs agentic tools that let AI models take real actions. Without tools, AI can only chat. With tools, AI can actually do things. We're building the definitive tools catalog, actions platform, and governance model that will unlock AI's true potential. Think Zapier for AI Actions. Think Auth0 for AI. Think really big.

Why This Is The Opportunity of a Lifetime
  • Traction: Real deployments with Fortune-100 customers like Morgan Stanley and Open Table

  • Founder-Market Fit: Our CEO previously founded Stormpath (acquired by Okta), where he created the first Authentication API for developers. He's done this before - and this time the market is 10x bigger. Our CTO led the vector database team at Redis, shipped 100+ LLM applications, and is a contributor to LangChain and LlamaIndex. He knows this space better than anyone.

  • Dream Team: We've assembled authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, Disney, and HPE who've built and founded multiple successful developer platforms.

  • Perfect Timing: Every enterprise is racing to put agents in production - almost none get there. The problem isn't better models, it's proving which agent can take which action, on behalf of which user, against which system. That's us.

  • Massive Market : We're building critical infrastructure for the biggest technological shift of our generation. Every AI app will need what we're building.

  • Backed By The Best: Our Series A round is led by SYN Ventures, with strategic investment from Morgan Stanley and Wipro. Our earlier investors have also backed Databricks, Clickhouse, MongoDB, Perplexity, Cohere, ScaleAI, Confluent, Elastic, and Firebase. They see what we see - this is going to be huge.

The Challenge

We are building the runtime and registry for AI/LLM tools. You will define both how AI interacts with the world, and how humans build and manage those tools. This includes creating production-grade integrations, and the services & toolkits that run them... and the solving the unique problems of AI/LLM usage along the way. We are building a SaaS application first, and then allowing folks to run part of that infrastructure on-site via hybrid deployments.

This role is primarily focused on our back-end services, but as an early member of a startup, you’ll be working up-and-down the stack. We build our software with Go, Python, and Typescript, and expect you to be a pro in at least one of those. We are looking for people who constantly ship and don't get stuck - we are looking for folks who are always learning and and able to apply that knowledge to their work and teach it to the team.

What You'll Do

  • Build the infrastructure to manage the backplane for all future AI tools

  • Design, build, test, and deploy high-performance, secure, production-grade software.

  • Develop SDKs and frameworks that make it easy for other developers to build custom tools

  • Help set industry standards for tool calling and authorization (for example, we helped write the MCP authorization spec)

  • Create integrations with major platforms and LLMs (Google Workspace, Microsoft 365, OpenAi, Anthropic, etc.)

  • Shape the roadmap for the team

  • Build leverage (via AI) - projects that take a week today should take a day next time.

  • Share your work with our customers and community, building our (and your) brand.

Required Skills

  • An insatiable desire to ship.

  • 7+ years of software engineering experience comprising of:

    • 5+ years of backend development experience with either Python, Go, Ruby, Typescript, or a similar language and API & Web frameworks.

    • 2+ years of experience with infrastructure and deployment (AWS/GCP, Terraform, Helm, etc)

  • Strong experience building and maintaining production APIs.

  • Track record of writing clean, well-documented, well-tested code.

  • User-centered approach to designing developer-centric products and tools.

Bonus Points

  • Experience building developer tools or SDKs

  • Familiarity with LLMs and AI frameworks (Langchain, LlamaIndex, etc)

  • Open-source contributions

  • 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 been a startup founder or early-state startup employee before and love it

Join The Movement

We're not just building a product - we're leading a movement to transform AI from just chatbots to agents that can take actions against real systems. This is your chance to be at the forefront of that revolution.

If you want to look back in 5 years and say, "I helped build that", then we want to talk to you. Ready to make AI actually useful?

Compensation and Benefits

This role offers a competitive salary, equity, and benefits. Compensation is aligned with the range below and determined based on a candidate's background, experience, and performance.

Salary Range

$200,000-$300,000 USD

Notes:

  • This is an in-person role located in our San Francisco (SOMA) office.

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