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Remote Distributed Systems Engineer Jobs in Los Angeles, CA

YO AI Labs

Senior Software Engineer - Remote

Los Angeles, CA · Remote

$132K - $174K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... distributed codebases. * Familiarity with modern AI or machine learning systems is a plus, though ...

Clerkie

Backend Engineer

Los Angeles, CA · Remote

$90/hr

Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United ... Experience with distributed systems or data-heavy applications * Familiarity with fintech ...

Magnite

Senior Engineer

Los Angeles, CA · On-site +1

$135K - $175K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Experience designing and optimizing distributed systems for high throughput, low latency, and high ...

NextDeavor Inc.

Development Team Lead - AI Team

Irvine, CA · Remote

$200K - $250K/yr

Development Team Lead - AI Team Full-time Remote Exclusive confidential search -- details shared ... distributed systems knowledge * Demonstrated experience mentoring engineering teams and strong ...

Clera

Staff Engineer

Los Angeles, CA · Remote

$250K - $300K/yr

About the Role This is a foundational engineering role at an early-stage AI/data startup, working ... Comfort working across distributed systems, cloud infrastructure (AWS or GCP), data pipelines, and ...

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Remote Distributed Systems Engineer information

See Los Angeles, CA salary details

$57.6K

$137.1K

$179.9K

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

As of Aug 22, 2026, the average yearly pay for remote distributed systems engineer in Los Angeles, CA is $137,075.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $169,200.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Distributed Systems Engineer jobs in Los Angeles, CA?

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Remote Distributed Systems Engineer jobs near you

Software Engineer II, Data Platform

PlayStation Global

Los Angeles, CA • On-site, Remote

$123K - $148K/yr

Full-time

Posted 18 days ago

Job description

Software Engineer II- Data Platform

Hybrid: San Diego, 2x onsite
Will accept remote workers that can travel onsite weekly

Do you want to join a team of talented engineers dedicated to enhancing the PlayStation experience for millions of users and creators? As part of our Data Platform team, you will play a key role in building cutting-edge systems that power PlayStation's data-driven features, delivering impactful insights and enabling seamless, interactive experiences!

The Software Engineers within our Platform Engineering Group design, build, document, and deploy large-scale data platforms that optimize performance and scalability across PlayStation systems. You will work on solving complex data challenges, improving platform capabilities, and ensuring high availability, all while supporting a dynamic, interactive environment for PlayStation users.

We're looking for someone who is passionate about building innovative data platforms that scale to millions of users, collaborating across Engineering and Product teams in an agile environment. You'll have the opportunity to work with the latest technologies, tools, and processes, helping to drive forward our technical and architectural goals.

Responsibilities

  • Contribute to the development, testing, and deployment of high-quality code across the data platform

  • Collaborate actively with global teams across multiple time zones, ensuring alignment and continuity

  • Support platform capabilities for data cataloging, analytics, and ETL/ELT pipelines

  • Assist in identifying performance bottlenecks and implementing improvements with guidance from senior engineers

  • Build and support services that handle structured, semi-structured, and unstructured data (audio, video, text, images)

  • Participate in on-call rotation for production support and help troubleshoot critical issues

  • Contribute to platform documentation and maintain clarity for internal consumers

  • Present work in team demos and represent engineering contributions in internal discussions

  • Follow best practices in testing, monitoring, and deployment to ensure platform reliability

  • Continuously learn and apply new tools, patterns, and technologies in the data platform space

Requirements

  • Bachelor's degree in Computer Science

  • 3+ years of direct experience developing scalable, distributed systems

  • Proficient in at least one language: Scala, Java, or Python

  • Experience building or maintaining cloud-based applications/services (AWS preferred, GCP is a plus)

  • Exposure to event streaming platforms such as Kafka, Kinesis, or SQS and Data Ingestion

  • Familiarity with distributed data processing frameworks like Apache Spark or Apache Flink

  • Understanding of CI/CD pipelines, monitoring, and observability best practices

  • Comfortable working in a globally distributed team

  • Willingness to participate in production on-call rotations

Nice to Have

  • Exposure to Databricks or similar unified data platforms

  • Experience working with unstructured data formats such as images, video, or audio

  • Familiarity with data cataloging, lineage, and metadata tools

  • Experience supporting platform-scale features such as ETL frameworks, analytics services, or data quality checks

  • Knowledge of GCP or multi-cloud environments

  • Curiosity and enthusiasm for tackling scalability and reliability challenges

Your First 90 Days

  • 30 Days: Ramp up on our tech stack, development tools, and team workflows. Deliver your first minor enhancement or bug fix and sync with global peers.

  • 60 Days: Begin contributing to core platform features. Participate in code/design reviews and propose improvements.

  • 90 Days: Own medium-scope features end-to-end. Engage in roadmap discussions and build strong cross-functional relationships with global stakeholders.

Apply