Quality Assurance Engineer Jobs in California
Quality Assurance Engineer jobs in California are among the most active in the country, concentrated in software, semiconductors, medical devices, and aerospace across a wide seniority range from entry-level testers through senior QA leads and managers. The largest hiring markets are the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Apple, Medtronic, and Northrop Grumman maintain deep engineering workforces. Manual testing, test automation, and regulatory compliance QA for FDA-regulated products are the most in-demand specialties across the state. Find a role that fits below and apply directly.
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Showing 5 of 444+ Quality Assurance Engineer jobs
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Skills and Competencies
- 3+ years of experience in software quality assurance or quality engineering
- Strong understanding of software development lifecycle and Agile methodologies
- Experience with test management and defect tracking tools such as Jira, Azure DevOps, or TestRail
- Experience testing web applications, application programming interfaces, and distributed systems
- Knowledge of SQL and database validation techniques
- Strong analytical and troubleshooting skills
- Experience with test automation tools such as Pytest or Robot Framework (preferred)
- Experience with application programming interface testing tools such as Postman, REST Assured, or SoapUI (preferred)
- Experience working with cloud platforms such as AWS, Azure, or GCP (preferred)
- Knowledge of continuous integration and continuous delivery tools such as Jenkins, GitHub Actions, GitLab CI, or CircleCI (preferred)
- Experience in performance, security, accessibility, or mobile testing (preferred)
- Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
Education
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent professional experience
Responsibilities
- Improve software quality through test planning, automated and manual testing, defect analysis, and cross-functional collaboration to support reliable, high-confidence releases.
- Review requirements and designs to identify gaps, assess testability, and communicate quality risks before implementation
- Design and execute test strategies, plans, and cases that address business requirements, quality risks, and complex workflows across web applications and connected systems
- Perform functional, integration, regression, system, application programming interface, and end-to-end testing to validate software behavior and interactions across components
- Develop and maintain automated testing frameworks and test suites to improve repeatable coverage and reduce manual testing effort
- Identify, document, prioritize, and track software defects in collaboration with the team; verify fixes and test for related issues
- Coordinate testing activities with software engineers, product managers, business analysts, and development and operations teams to resolve issues and support release readiness
- Analyze test results and report quality measures, unresolved defects, and release risks to support informed release decisions
- Integrate automated tests into continuous integration and continuous delivery processes to provide timely feedback on builds and deployments
- Manage assigned testing activities within agreed priorities, escalate risks and blockers, and contribute to improvements in testing processes, tools, and methods
- Reduce defects that reach production by increasing automated test coverage of critical workflows and regression scenarios
- Identify and report defects promptly, support timely resolution, verify fixes before release, and contribute improvements to quality standards and testing practices
About the Team
Our Collaborative Analytics Platform team is a focused, collaborative group responsible for building and maintaining a core analytics platform product, as well as managing integrations with Moody's products across the Banking operating unit and beyond. By joining our team, you will play a meaningful role in delivering reliable, high-quality software that powers analytics capabilities at scale, contribute to a culture of quality and continuous improvement, and help shape how AI-enabled solutions are tested and deployed across our connected ecosystem.
For US-based roles only: the anticipated hiring base salary range for this position is $96,000.00 - $139,200.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Skills and Competencies
- 3+ years of experience in software quality assurance or quality engineering
- Strong understanding of software development lifecycle and Agile methodologies
- Experience with test management and defect tracking tools such as Jira, Azure DevOps, or TestRail
- Experience testing web applications, application programming interfaces, and distributed systems
- Knowledge of SQL and database validation techniques
- Strong analytical and troubleshooting skills
- Experience with test automation tools such as Pytest or Robot Framework (preferred)
- Experience with application programming interface testing tools such as Postman, REST Assured, or SoapUI (preferred)
- Experience working with cloud platforms such as AWS, Azure, or GCP (preferred)
- Knowledge of continuous integration and continuous delivery tools such as Jenkins, GitHub Actions, GitLab CI, or CircleCI (preferred)
- Experience in performance, security, accessibility, or mobile testing (preferred)
- Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
Education
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent professional experience
Responsibilities
- Improve software quality through test planning, automated and manual testing, defect analysis, and cross-functional collaboration to support reliable, high-confidence releases.
- Review requirements and designs to identify gaps, assess testability, and communicate quality risks before implementation
- Design and execute test strategies, plans, and cases that address business requirements, quality risks, and complex workflows across web applications and connected systems
- Perform functional, integration, regression, system, application programming interface, and end-to-end testing to validate software behavior and interactions across components
- Develop and maintain automated testing frameworks and test suites to improve repeatable coverage and reduce manual testing effort
- Identify, document, prioritize, and track software defects in collaboration with the team; verify fixes and test for related issues
- Coordinate testing activities with software engineers, product managers, business analysts, and development and operations teams to resolve issues and support release readiness
- Analyze test results and report quality measures, unresolved defects, and release risks to support informed release decisions
- Integrate automated tests into continuous integration and continuous delivery processes to provide timely feedback on builds and deployments
- Manage assigned testing activities within agreed priorities, escalate risks and blockers, and contribute to improvements in testing processes, tools, and methods
- Reduce defects that reach production by increasing automated test coverage of critical workflows and regression scenarios
- Identify and report defects promptly, support timely resolution, verify fixes before release, and contribute improvements to quality standards and testing practices
About the Team
Our Collaborative Analytics Platform team is a focused, collaborative group responsible for building and maintaining a core analytics platform product, as well as managing integrations with Moody's products across the Banking operating unit and beyond. By joining our team, you will play a meaningful role in delivering reliable, high-quality software that powers analytics capabilities at scale, contribute to a culture of quality and continuous improvement, and help shape how AI-enabled solutions are tested and deployed across our connected ecosystem.
For US-based roles only: the anticipated hiring base salary range for this position is $96,000.00 - $139,200.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
See All 444+ Quality Assurance Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find JobsQuality Assurance Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Quality Assurance Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Fortinet10
- Apple9
- RIMEPRO6
- California Dairies5
- ALTRUIST4
Top Industries Hiring
- Technology & Software12
- Staffing & Recruiting8
- Biotechnology & Pharmaceuticals6
- Manufacturing3
- Consulting & Professional Services3
What California Employers Look For
The qualifications that appear most often in quality assurance engineer jobs across California.
- Bachelor's degree in computer science, engineering, or a related technical field
- Hands-on experience writing and executing manual and automated test cases
- Proficiency with test automation frameworks such as Selenium, Cypress, or Appium
- Familiarity with Agile or Scrum development workflows and bug-tracking tools like Jira
- Knowledge of software development lifecycle and quality management methodologies
- Experience with API testing tools such as Postman or REST-assured
Quality Assurance Engineer Jobs in California: Frequently Asked Questions
How do you become a quality assurance engineer in California?
Most quality assurance engineers in California enter the field with a bachelor's degree in computer science, software engineering, electrical engineering, or a related discipline. California does not require a state-issued license for software QA roles, but candidates targeting medical device or aerospace QA often need familiarity with FDA 21 CFR Part 820 or AS9100 standards. Building a portfolio of test plans and earning certifications like ISTQB Certified Tester strengthens applications considerably in California's competitive market.
Which companies hire quality assurance engineers in California?
Employers hiring quality assurance engineers in California right now include Fortinet, Apple, and RIMEPRO, based on current listings on Migrate Mate as of November 2026. California's concentration of technology, medical device, and defense contractors means QA openings are spread across both large publicly traded companies and mid-size regulated-industry firms headquartered in the Bay Area, Los Angeles, and San Diego corridors.
Which California cities have the most quality assurance engineer jobs?
San Diego, Los Angeles, and Sunnyvale consistently post the most quality assurance engineer openings in California. The Bay Area leads because of its density of software and semiconductor employers, Los Angeles draws demand from aerospace, entertainment technology, and healthtech firms, and San Diego's strong medical device and defense presence keeps QA hiring active even outside the largest metro centers.
Are there remote quality assurance engineer jobs in California?
Yes, and more than most engineering disciplines, because software QA work is largely screen-based and integrates smoothly into distributed development teams. About 38% of quality assurance engineer openings tied to California are remote or hybrid as of November 2026, reflecting how normalized flexible arrangements have become in the tech sector. Test automation and functional testing roles tend to be the most remote-eligible, while hardware validation and regulated-industry QA roles usually require on-site presence.
How can I get hired as a quality assurance engineer in California with little or no experience?
The most realistic entry path is applying to associate QA analyst or junior software tester roles at California's mid-size software companies, which regularly onboard candidates from adjacent roles like technical support, business analysis, or manual testing contract work. Large California employers such as Salesforce and Kaiser Permanente run structured early-career programs and internships that feed into full QA positions. Building a GitHub portfolio of automated test scripts using open-source tools and earning the ISTQB Foundation Level certification significantly improves competitiveness without prior QA job titles.
Where can I find and apply to quality assurance engineer jobs in California?
You can find and apply to quality assurance engineer jobs in California on Migrate Mate, which lists current California openings updated regularly. Search the listings to find roles that match your experience level and specialization, then apply directly to the ones that fit.
See All 444+ Quality Assurance Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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