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Remote Distributed Systems Engineer Jobs (NOW HIRING)

Figma

Software Engineer, Distributed Systems

$177K - $209K/yr

Required : • 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering. • Deep understanding of distributed systems concepts such as sharding, replication ...

Netflix

Distributed Systems Engineer (L4) - Data Platform

$117K - $140K/yr

In addition, we are open to remote candidates. We value what you can do from anywhere in the U.S ... distributed systems * You are experienced in Java or other object-oriented programming languages.

Netflix

Distributed Systems Engineer (L4) - Data Platform

OR · On-site +1

$114K - $137K/yr

In addition, we are open to remote candidates. We value what you can do from anywhere in the U.S ... distributed systems You are experienced in Java or other object-oriented programming languages.

Netflix

Distributed Systems Engineer (L4) - Data Platform

$117K - $140K/yr

In addition, we are open to remote candidates. We value what you can do from anywhere in the U.S ... distributed systems * You are experienced in Java or other object-oriented programming languages.

Figma

Software Engineer, Distributed Systems

Required : • 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering. • Deep understanding of distributed systems concepts such as sharding, replication ...

Figma

Software Engineer, Distributed Systems

Required : • 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering. • Deep understanding of distributed systems concepts such as sharding, replication ...

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Remote Distributed Systems Engineer information

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$53.5K

$127.2K

$167K

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

As of Jul 10, 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.

How much do distributed systems engineers make?

Distributed systems engineers typically earn between $100,000 and $160,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and large-scale architecture can command higher salaries, especially in competitive tech markets.

What engineer makes $500,000 a year?

A remote distributed systems engineer can earn $500,000 annually, especially with extensive experience, specialized skills in cloud infrastructure, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing in large tech companies or startups.

What engineers make $200,000 a year?

Senior engineers in fields such as software engineering, especially those specializing in distributed systems, cloud infrastructure, or machine learning, can earn $200,000 or more annually. Achieving this level typically requires extensive experience, advanced skills in programming, system design, and often relevant certifications or advanced degrees. Compensation varies based on industry, location, and company size, with roles in tech giants and specialized firms more likely to reach this salary level.

What engineers make $300,000 a year?

Senior distributed systems engineers, especially those with expertise in cloud infrastructure, large-scale system design, and advanced programming skills, can earn $300,000 or more annually. High compensation often requires extensive experience, specialized knowledge, and sometimes leadership roles or working in high-demand industries like technology or finance.
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Remote Distributed Systems Engineer jobs near you
Infographic showing various Remote Distributed Systems Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

Software Engineer, Distributed Systems (Core)

Career Renew

New York, NY • Remote

$180K - $320K/yr

Full-time

Re-posted 17 days ago

Job description

Career Renew is recruiting for one of its clients a Software Engineer, Distributed Systems (Core) - this is a fully remote role for US/Canada candidates. Salary range: 180-320K USD yearly plus benefits plus equity. Visa sponsorship available.

Our mission is to empower everyone to take action on their data. Hundreds of companies, including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart, trust us to power their growth.


We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations. Our new AI Decisioning platform goes a step further, allowing marketers to set goals and guardrails that AI agents can then use to personalize 1:1 customer interactions. Traditionally, only technical teams had the skills to access and use customer data. With us, every business user can deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization.

We are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningfully improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base.


We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.


Some of the problems we’ll be working on include:

  • Sync Speed: Customers want to sync a lot of data to important destinations like Facebook and Snapchat, which requires us to analyze every part of our syncing process and find where we can optimize to sync data more quickly

  • Streaming Syncing: We currently sync data from sources in batch only, but envision a world where we also do syncs in real-time and support streaming sources like webhooks and queues

  • Scalability and Reliability: As part of our rapid growth, we’re always evaluating current future bottlenecks in scaling and reliability, and architecting for the next order of magnitude of growth

  • Personalization API: Our Personalization API product provides a low latency caching layer on top of data warehouses that enable customers to use their data warehouse for real-time personalization use cases with <30ms p90 response times with QPS in the millions

  • Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch our platform in new regions to support data residency requirements of our global customer base

Requirements:
7+ years of experience as a software engineer with a very high level of general aptitude and work in distributed systems (Mandatory)
Have been part of high velocity startup through high stages of growth, Series B - Series E (i.e Stripe, Kong, Semgrep) (Mandatory)
Staff level minimum with a history of getting promoted quickly at the listed companies. (Mandatory)
Have graduated from a top 30 CS program such as: University of Waterloo, Harvard, Columbia, Princeton, Stanford, UC Berkeley, MIT, CMU, CalTech, Cornell, Duke, Dartmouth, Brown, IITs (Mandatory)
Extremely strong in systems design fundamentals and understanding of how large scale distributed systems behave (Mandatory)
You’ve created event collection or data streaming services that power company critical systems ( work with message queues, Kafka, SQL databases, Kubernetes, Docker) (Mandatory)
You’ve owned systems that have undergone orders of magnitude of growth and helped them scale accordingly (Mandatory)
You’ve built data sync engines that process and move terabytes of data per day in a scalable way (Nice-to-have)
Work close to the infrastructure layer of code, someone who knows how even the tools (i.e. spark, flink, kafka) are built (Nice-to-have)
Extremely strong communication skills, and are a fast learner who is excited to take on the challenges we face (Mandatory)