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Distributed Systems Software Engineer Jobs (NOW HIRING)

Software Engineer, Distributed Systems

San Francisco, CA ยท On-site +1

$203.80K - $241.50K/yr

We'd Love to Hear From You If You Have: * 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering.. * Deep understanding of distributed systems concepts ...

You are an experienced software engineer who thrives on building large-scale computing platforms. You have deep expertise in large scale distributed systems that deal with high complexity, a lot of ...

You are an experienced software engineer who thrives on building large-scale computing platforms. You have deep expertise in large scale distributed systems that deal with high complexity, a lot of ...

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Distributed Systems Software Engineer information

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$83K

$177.7K

$206K

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

As of Jun 3, 2026, the average yearly pay for distributed systems software engineer in the United States is $177,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $173,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Distributed Systems Software Engineer, and why are they important?

To thrive as a Distributed Systems Software Engineer, you need strong programming skills (often in languages like Java, Go, or C++), a deep understanding of algorithms, networking, and distributed computing concepts, typically supported by a degree in computer science or a related field. Familiarity with tools and frameworks such as Kubernetes, Apache Kafka, Docker, and cloud platforms (AWS, GCP, or Azure) is highly valued, as are certifications in cloud or devops technologies. Excellent problem-solving, teamwork, and communication skills help you design scalable solutions and collaborate across teams. These skills are crucial for building reliable, efficient, and scalable distributed systems that power modern applications and services.

What are the typical challenges faced by Distributed Systems Software Engineers when ensuring system reliability?

Distributed Systems Software Engineers often encounter challenges like handling network partitioning, ensuring data consistency across nodes, and effectively managing system failures. They need to design resilient architectures that can recover gracefully when components fail, and implement robust monitoring to detect issues early. Collaborating closely with DevOps, QA, and other engineering teams is crucial to address these challenges and maintain high availability and performance in complex, distributed environments.

What are Distributed Systems Software Engineers?

Distributed Systems Software Engineers are professionals who design, develop, and maintain software that runs across multiple computers or servers, working together to achieve a common goal. They build systems that are reliable, scalable, and efficient, often handling large volumes of data and user requests. Their work involves solving challenges related to network communication, data consistency, fault tolerance, and system coordination. These engineers frequently use technologies like cloud computing platforms, message queues, and databases to ensure smooth operation across distributed environments.

What is the difference between Distributed Systems Software Engineer vs Cloud Software Engineer?

AspectDistributed Systems Software EngineerCloud Software Engineer
Required CredentialsBachelor's in CS or related, experience with distributed architecturesBachelor's in CS, experience with cloud platforms (AWS, Azure)
Work EnvironmentDevelops scalable distributed applications, often in data centers or on-premisesBuilds and maintains cloud-based solutions, deploying on cloud platforms
Employer & Industry UsageTech companies, data centers, distributed computing firmsCloud service providers, SaaS companies, enterprises adopting cloud
Search & Comparison IntentUnderstanding roles in distributed architectureComparing cloud-focused development roles

While both roles involve building scalable software, a Distributed Systems Software Engineer focuses on designing and implementing distributed architectures, whereas a Cloud Software Engineer specializes in deploying and managing applications on cloud platforms. The roles often overlap but differ mainly in their environment and specific technical focus.

More about Distributed Systems Software Engineer jobs
What cities are hiring for Distributed Systems Software Engineer jobs? Cities with the most Distributed Systems Software Engineer job openings:
What states have the most Distributed Systems Software Engineer jobs? States with the most job openings for Distributed Systems Software Engineer jobs include:
What job categories do people searching Distributed Systems Software Engineer jobs look for? The top searched job categories for Distributed Systems Software Engineer jobs are:
Infographic showing various Distributed Systems Software Engineer job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 89% Full Time, 1% Part Time, 2% Temporary, 3% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $177,719 per year, or $85.4 per hour.
Distributed Systems Software Engineer, Python / Go

Distributed Systems Software Engineer, Python / Go

Canonical

Fresno, CA โ€ข On-site

Full-time

Posted 3 days ago


Job description

Distributed Systems Software Engineer, Python / Go3 months ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.We are seeking a software engineer with a passion for building and validating resilient distributed systems. At Canonical you can build a career and drive the success of those leveraging Canonical's Ubuntu and Juju to build multi-cloud deployable cloud applications.We see quality engineering as a first class engineering practice and are looking for people who can bring deep engineering insights and a data driven approach to test automation, reporting and data analytics.The Distributed Systems testing team at Canonical is responsible for ensuring the high quality of Canonical's Cloud solutions based on Juju, Terraform, OpenStack, Kubernetes when deployed under highly diverse conditions, from bare metal in customer data centers to public clouds like AWS, GCE, Azure.As a software engineer you will have the opportunity to develop CI pipelines which power Canonical's cloud integration testing and reporting. Upcoming initiatives you will have the opportunity to contribute to include expanding deployment capabilities to new clouds and developing AI/ML pipelines for automatic analysis of test results.

A successful candidate is interested in tackling these problems, as well as imagining and leading new initiatives within the team and across Canonical.Location: this is a Globally remote roleWhat your day will look likeCreate automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applicationsEnable engineering teams across Canonical to develop software with confidence by making distributed system testing tooling available across the companyEnhance continuous integration pipelines for deploying and testing Canonical's cloud native products such as KubeflowDeploy, manage, and debug highly distributed systemsMonitor and report on automated testing effortsCollaborate daily with a globally distributed teamWhat we are looking for in youSolid background in modern test processes and strategiesExperience with Python or Go developmentStrong object oriented development skillsAbility to develop and ship production grade modern web applicationsWorking knowledge of continuous integration tools such as Jenkins, CircleCI, GitHub CIKnowledge of networking technologies and fundamentalsSolid understanding of Linux system architectureA capacity for complex abstract thinkingCapability for 2-4 weeks of international travel travel per yearAdditional skills that you might also bringCollecting and analyzing large multidimensional datasetsOperating data platforms: key-value stores, relational or document databases, event busesWork with cloud technologies such as OpenStack, Kubernetes, Terraform and AWSDeveloping AI/ML pipelinesWhat we offer youWe consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus.

We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004!Personal learning and development budget of USD 2,000 per yearAnnual compensation reviewRecognition rewardsAnnual holiday leaveMaternity and paternity leaveEmployee Assistance ProgrammeOpportunity to travel to new locations to meet colleagues from your team and othersPriority Pass for travel and travel upgrades for long haul company eventsCanonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world's computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.Seniority levelSeniority levelEntry levelEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesSoftware DevelopmentReferrals increase your chances of interviewing at Canonical by 2xSoftware Engineer - Solutions EngineeringSoftware Engineering Specialist - Human DataEmbedded Linux Senior Software Engineer - OptimisationGolang System Software Engineer - Containers / VirtualisationFresno, CA $150,000 - $200,000 3 weeks agoFresno, CA $175,000 - $230,000 2 weeks agoSystem Software Engineer - Rust compiler, tooling, and ecosystemSoftware Engineer - packaging - optimize Ubuntu Server for public cloudsSoftware Engineer - packaging - optimize Ubuntu ServerWe're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.J-18808-Ljbffr