1

Open Source Analyst Jobs in California (NOW HIRING)

Senior Intellectual Property Analyst

Walnut Creek, CA ยท On-site

$94K - $117K/yr

Review open source software components and dependencies for license compliance and alignment with ... Strong analytical, problem-solving, and critical thinking skills. * Exceptional attention to detail ...

Senior Intellectual Property Analyst

Walnut Creek, CA ยท On-site

$94K - $117K/yr

Review open source software components and dependencies for license compliance and alignment with ... Strong analytical, problem-solving, and critical thinking skills. * Exceptional attention to detail ...

The Project Analyst will ... Manage a large docket of open source, dataset, and AI model review requests in collaboration with ...

next page

Showing results 1-20

Open Source Analyst information

See California salary details

$30.6K

$72.3K

$128.3K

How much do open source analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for open source analyst in California is $72,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,800.00 and $85,900.00 per year, depending on experience, location, and employer.

How does an open source analyst typically collaborate with other teams within an organization?

Open Source Analysts often work closely with cybersecurity, threat intelligence, and risk management teams to provide actionable insights from publicly available information. They collaborate by sharing intelligence reports, participating in joint threat assessments, and contributing to incident response efforts. Regular communication with these teams ensures that findings from open sources are effectively integrated into broader security strategies, helping the organization proactively address emerging threats.

What is an open source analyst?

An Open Source Analyst is a professional who gathers, analyzes, and interprets information from publicly available sources, such as news articles, social media, government reports, and online databases. Their goal is to provide actionable intelligence to support decision-making in areas like security, business, or government. Open Source Analysts use specialized tools and techniques to verify the credibility of sources and extract relevant insights while ensuring they adhere to ethical and legal guidelines. They play a crucial role in organizations that require timely and accurate information to anticipate risks or understand trends.

What is the difference between Open Source Analyst vs Data Analyst?

AspectOpen Source AnalystData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related fields; familiarity with open source toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis software
Work EnvironmentResearch-focused, often in tech companies or cybersecurity firmsBusiness environments, analyzing data to inform decisions
Employer & Industry UsageTech, cybersecurity, government agenciesFinance, marketing, healthcare, and various industries

Open Source Analysts focus on analyzing open source software, security, and community trends, often working in tech or cybersecurity sectors. Data Analysts interpret data sets to support business decisions across diverse industries. While both roles require analytical skills, their focus areas and environments differ significantly.

What are the key skills and qualifications needed to thrive as an open source analyst?

To thrive as an Open Source Analyst, you need strong analytical abilities, research skills, and knowledge of geopolitical or security issues, often supported by a relevant degree in international relations, intelligence studies, or a related field. Familiarity with open source intelligence (OSINT) tools, data mining platforms, and geospatial analysis systems is typically required. Excellent critical thinking, attention to detail, and effective communication skills help analysts synthesize information and convey findings clearly. These competencies are essential for producing accurate, actionable intelligence that supports informed decision-making in security and policy environments.
What job categories do people searching Open Source Analyst jobs in California look for? The top searched job categories for Open Source Analyst jobs in California are:
Infographic showing various Open Source Analyst job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 68% Full Time, 25% Part Time, 3% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $72,302 per year, or $34.8 per hour.

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Hello All,
Greetings from Rootshell Inc.
Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking Open Source Engineer for one of our client, Please share your resume with current location & full contact info
Role:Open Source Engineer
Location: Pleasanton, CA - Hybrid
JD:
We're hiring a self-motivated Open Source Engineer to build, automate, and operate secure, scalable infrastructure for a modern medical research and laboratory environment. You'll focus on medical imaging, laboratory systems, data processing, and research workflows in a regulated, HIPAA-compliant setting. The right candidate brings deep Python and Linux automation skills and is comfortable working across Kubernetes, virtualized, and mixed-OS environments.
Key Responsibilities
  • Build and maintain production-grade automation in Python and shell, including workflow orchestration with Apache Airflow, secure data transfers (SFTP), and reliability improvements.
  • Design, deploy, and operate on-prem Kubernetes clusters (Rancher RKE2 preferred), manage Helm deployments, and handle secrets with HashiCorp Vault.
  • Administer Linux/UNIX systems (RHEL 9.x focus): OS patching, lifecycle management, security hardening, and Ansible automation.
  • Create repeatable VM provisioning pipelines and standardized system builds; support mixed Linux and Windows environments as required.
  • Develop and maintain medical imaging workflows (DICOM query/retrieve, image pulls, storage, automated de-identification) using tools such as Orthanc, DCMTK, or CTP.
  • Support laboratory and research platforms, including LIMS infrastructure, data ingestion workflows, and Windows batch/integration scripts when needed.
  • Install, test, upgrade, and maintain research and enterprise applications across test and production environments (examples: LIMS, JBOSS-based systems, Appian, data analysis tools).
  • Provision and optimize storage access (NFS, S3) and integrate with high-performance storage solutions (Weka, VAST, EMC).
  • Manage Jupyter, R, and RStudio environments, including package management and researcher support.
  • Implement and maintain GitLab-based CI/CD pipelines, infrastructure-as-code, and version-controlled operational runbooks.
  • Ensure systems meet HIPAA, CAP, and ISO compliance requirements - maintain documentation, change control, audit evidence, and traceability.
  • Provide senior-tier Linux/UNIX support to technical teams and researchers, mentor staff, and document operational best practices.
  • Operate independently across multiple concurrent efforts; adapt to evolving laboratory and research needs.

Required Qualifications
  • Advanced Python automation skills; strong Bash/shell scripting experience.
  • Hands-on Linux administration experience (RHEL preferred), including patching, security, and lifecycle management.
  • Proven experience managing on-prem Kubernetes platforms and Helm-based deployments.
  • Solid understanding of Apache Airflow, HashiCorp Vault, and workflow-driven automation.
  • Experience supporting DICOM-based medical or research imaging systems.
  • Working knowledge of NFS and S3 storage models and high-performance storage environments.
  • Demonstrated experience supporting regulated research or healthcare systems, with audit and compliance readiness.
  • Proficiency with GitLab repositories, CI/CD pipelines, and automation workflows.
  • Strong communication, documentation, and cross-disciplinary collaboration skills.

Preferred Qualifications
  • Hands-on experience with LIMS platforms, laboratory instrument integrations, or imaging research workflows.
  • Experience supporting data science platforms or research computing environments.
  • Familiarity with Windows batch scripting for laboratory/data ingestion workflows.
  • Prior experience in healthcare, research, or regulated laboratory environments.

With regards
Naveen | Talent Acquisition
Rootshell Enterprise Technologies Inc.
Naveen@rootshellinc.com | www.rootshellinc.com