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Remote Open Source Investigator Jobs in California

Java Open Source Contributor

Los Angeles, CA ยท Remote

$55 - $71/hr

Remote Scope of Work: * Contribute production-quality code, reviews, and documentation to open-source repositories relevant to the customer's project. * Design, implement, and optimize complex ...

Java Open Source Contributor

San Francisco, CA ยท Remote

$60 - $77.75/hr

Remote Scope of Work: * Contribute production-quality code, reviews, and documentation to open-source repositories relevant to the customer's project. * Design, implement, and optimize complex ...

San Francisco or Remote About The Role The NEAR AI team is building decentralized and confidential ... Our mission is to build highly scalable and efficient infrastructure for open-source AI at a global ...

Prior experience in DevRel or open source * Have used (and loved) Supabase What We Offer * Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase ...

New

Senior Software Engineer [REMOTE]

San Francisco, CA ยท Remote

$144K - $190K/yr

We partner with leading cloud providers, ISVs, and open-source communities to help organizations ... Investigate and debug complex issues in customer environments, including multi-control plane ...

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Remote Open Source Investigator information

What is the difference between Remote Open Source Investigator vs Remote Cybersecurity Analyst?

AspectRemote Open Source InvestigatorRemote Cybersecurity Analyst
Required CredentialsCertifications in OSINT tools, investigative techniquesCertifications in cybersecurity, network security
Work EnvironmentPrimarily remote, research-focusedRemote or on-site, security monitoring
Employer & IndustryPrivate investigation firms, intelligence agenciesTech companies, government agencies
Search & Comparison IntentUnderstanding investigative roles in open source researchUnderstanding cybersecurity roles in threat detection

The Remote Open Source Investigator focuses on gathering information from publicly available sources to support investigations, while a Remote Cybersecurity Analyst monitors and protects digital assets from cyber threats. Both roles require technical skills and often work remotely, but they serve different purposes within security and research fields.

What are the most commonly searched types of Open Source Investigator jobs in California?

The most popular types of Open Source Investigator jobs in California are:

What job categories do people searching Remote Open Source Investigator jobs in California look for?

The top searched job categories for Remote Open Source Investigator jobs in California are:

What cities in California are hiring for Remote Open Source Investigator jobs?

Cities in California with the most Remote Open Source Investigator job openings:

Infographic showing various Remote Open Source Investigator job openings in California as of June 2026, with employment types broken down into 81% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.

Java Open Source Contributor

Los Angeles, CA โ€ข Remote

$55 - $71/hr

Full-time

Re-posted 7 days ago


Job description

Job Description

Role Title: Java Open Source Contributor

Role Type: Contract

Location: Remote


Scope of Work:

  • Contribute production-quality code, reviews, and documentation to open-source repositories relevant to the customer's project.
  • Design, implement, and optimize complex algorithms and system components using one or more of the following languages: C++, Python, JAVA, GoLang, Typescript, or Rust.
  • Identify and resolve technical challenges, bugs, and performance bottlenecks in existing codebases.
  • Collaborate with other contributors and stakeholders to align deliverables with project goals and best practices.
  • Create, maintain, and enhance technical documentation to support knowledge sharing and onboarding.
  • Participate in code discussions and provide constructive feedback to elevate overall code quality.


Preferred Qualifications:

  • Previous experience working on large-scale, distributed codebases.
  • Familiarity with modern AI or machine learning systems is a plus, though not required.
  • Background in participating in rigorous code reviews and contributing to the development of software best practices.