Software Development Engineer, Quality Platform & AI Test Automation
Jun 4, 2026 San Jose
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 5,001 - 10,000 employees
- Industry: Entertainment & Gaming
Responsibilities
The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading internet companies. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. Our quality assurance engineering team is responsible for keeping an e-commerce ecosystem stable, secure, and intuitive for our users. We are looking for passionate and talented people to join us as we drive the future of e-commerce here at TikTok.
What you'll do:
- Build test platforms, automation frameworks, validation services, and AI-powered tools to improve testing efficiency and release quality.
- Develop AI skills/agents for QA/RD scenarios such as requirement analysis, test case generation, test data generation, log analysis, defect triage, root cause analysis, regression selection, and test reporting.
- Build self-service capabilities that help QA/RD teams execute validation, monitor test results, assess release readiness, and reduce manual testing effort.
- Integrate automation and AI outputs with test management systems, dashboards, ticketing systems, and release processes.
- Partner with QA and RD teams to identify testing pain points and convert them into reusable automation platforms or AI-based solutions.
- Work closely with global QA, RD, product, and business teams across multiple countries/regions to support international e-commerce scenarios, localization needs, and cross-market release quality.
Qualifications
Minimum Qualifications:
- Bachelor degree or above in Computer Science, Software Engineering, or a related technical field.
- 3+ years of hands-on software development experience, preferably in test platform, automation, AI tooling, developer productivity, or quality engineering related areas.
- Experience building test automation frameworks, validation tools, internal productivity tools, or CI/CD-related engineering solutions.
- Strong understanding of software testing concepts, including requirement analysis, test design, regression testing, defect analysis, and release validation.
- Strong engineering sense in building reliable, maintainable, and scalable solutions rather than one-off scripts.
- Ability to work closely with QA and RD teams, understand real testing pain points, and turn them into practical engineering solutions.
- Able to collaborate with cross-functional teams in an international environment.
Preferred Qualifications:
- Experience building reusable testing infrastructure, automation platforms, AI tools, or internal productivity tools used by multiple teams.
- Experience applying AI/LLM capabilities to improve testing efficiency, such as test case generation, test data generation, log analysis, defect triage, root cause analysis, regression selection, risk assessment, or test reporting.
- Experience working on complex systems where quality depends on cross-service validation, data consistency, configuration correctness, or end-to-end business flows.
- Experience integrating automation or AI outputs with test management systems, dashboards, ticketing systems, or release processes.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $162000 - $316800 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading internet companies. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. Our quality assurance engineering team is responsible for keeping an e-commerce ecosystem stable, secure, and intuitive for our users. We are looking for passionate and talented people to join us as we drive the future of e-commerce here at TikTok.
What you'll do:
- Build test platforms, automation frameworks, validation services, and AI-powered tools to improve testing efficiency and release quality.
- Develop AI skills/agents for QA/RD scenarios such as requirement analysis, test case generation, test data generation, log analysis, defect triage, root cause analysis, regression selection, and test reporting.
- Build self-service capabilities that help QA/RD teams execute validation, monitor test results, assess release readiness, and reduce manual testing effort.
- Integrate automation and AI outputs with test management systems, dashboards, ticketing systems, and release processes.
- Partner with QA and RD teams to identify testing pain points and convert them into reusable automation platforms or AI-based solutions.
- Work closely with global QA, RD, product, and business teams across multiple countries/regions to support international e-commerce scenarios, localization needs, and cross-market release quality.
Minimum Qualifications:
- Bachelor degree or above in Computer Science, Software Engineering, or a related technical field.
- 3+ years of hands-on software development experience, preferably in test platform, automation, AI tooling, developer productivity, or quality engineering related areas.
- Experience building test automation frameworks, validation tools, internal productivity tools, or CI/CD-related engineering solutions.
- Strong understanding of software testing concepts, including requirement analysis, test design, regression testing, defect analysis, and release validation.
- Strong engineering sense in building reliable, maintainable, and scalable solutions rather than one-off scripts.
- Ability to work closely with QA and RD teams, understand real testing pain points, and turn them into practical engineering solutions.
- Able to collaborate with cross-functional teams in an international environment.
Preferred Qualifications:
- Experience building reusable testing infrastructure, automation platforms, AI tools, or internal productivity tools used by multiple teams.
- Experience applying AI/LLM capabilities to improve testing efficiency, such as test case generation, test data generation, log analysis, defect triage, root cause analysis, regression selection, risk assessment, or test reporting.
- Experience working on complex systems where quality depends on cross-service validation, data consistency, configuration correctness, or end-to-end business flows.
- Experience integrating automation or AI outputs with test management systems, dashboards, ticketing systems, or release processes.
The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading internet companies. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. Our quality assurance engineering team is responsible for keeping an e-commerce ecosystem stable, secure, and intuitive for our users. We are looking for passionate and talented people to join us as we drive the future of e-commerce here at TikTok.
What you'll do:
- Build test platforms, automation frameworks, validation services, and AI-powered tools to improve testing efficiency and release quality.
- Develop AI skills/agents for QA/RD scenarios such as requirement analysis, test case generation, test data generation, log analysis, defect triage, root cause analysis, regression selection, and test reporting.
- Build self-service capabilities that help QA/RD teams execute validation, monitor test results, assess release readiness, and reduce manual testing effort.
- Integrate automation and AI outputs with test management systems, dashboards, ticketing systems, and release processes.
- Partner with QA and RD teams to identify testing pain points and convert them into reusable automation platforms or AI-based solutions.
- Work closely with global QA, RD, product, and business teams across multiple countries/regions to support international e-commerce scenarios, localization needs, and cross-market release quality.
Qualifications
Minimum Qualifications:
- Bachelor degree or above in Computer Science, Software Engineering, or a related technical field.
- 3+ years of hands-on software development experience, preferably in test platform, automation, AI tooling, developer productivity, or quality engineering related areas.
- Experience building test automation frameworks, validation tools, internal productivity tools, or CI/CD-related engineering solutions.
- Strong understanding of software testing concepts, including requirement analysis, test design, regression testing, defect analysis, and release validation.
- Strong engineering sense in building reliable, maintainable, and scalable solutions rather than one-off scripts.
- Ability to work closely with QA and RD teams, understand real testing pain points, and turn them into practical engineering solutions.
- Able to collaborate with cross-functional teams in an international environment.
Preferred Qualifications:
- Experience building reusable testing infrastructure, automation platforms, AI tools, or internal productivity tools used by multiple teams.
- Experience applying AI/LLM capabilities to improve testing efficiency, such as test case generation, test data generation, log analysis, defect triage, root cause analysis, regression selection, risk assessment, or test reporting.
- Experience working on complex systems where quality depends on cross-service validation, data consistency, configuration correctness, or end-to-end business flows.
- Experience integrating automation or AI outputs with test management systems, dashboards, ticketing systems, or release processes.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $162000 - $316800 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
Responsibilities
ResponsibilitiesThe e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading internet companies. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. Our quality assurance engineering team is responsible for keeping an e-commerce ecosystem stable, secure, and intuitive for our users. We are looking for passionate and talented people to join us as we drive the future of e-commerce here at TikTok.
What you'll do:
- Build test platforms, automation frameworks, validation services, and AI-powered tools to improve testing efficiency and release quality.
- Develop AI skills/agents for QA/RD scenarios such as requirement analysis, test case generation, test data generation, log analysis, defect triage, root cause analysis, regression selection, and test reporting.
- Build self-service capabilities that help QA/RD teams execute validation, monitor test results, assess release readiness, and reduce manual testing effort.
- Integrate automation and AI outputs with test management systems, dashboards, ticketing systems, and release processes.
- Partner with QA and RD teams to identify testing pain points and convert them into reusable automation platforms or AI-based solutions.
- Work closely with global QA, RD, product, and business teams across multiple countries/regions to support international e-commerce scenarios, localization needs, and cross-market release quality.
Qualifications
QualificationsMinimum Qualifications:
- Bachelor degree or above in Computer Science, Software Engineering, or a related technical field.
- 3+ years of hands-on software development experience, preferably in test platform, automation, AI tooling, developer productivity, or quality engineering related areas.
- Experience building test automation frameworks, validation tools, internal productivity tools, or CI/CD-related engineering solutions.
- Strong understanding of software testing concepts, including requirement analysis, test design, regression testing, defect analysis, and release validation.
- Strong engineering sense in building reliable, maintainable, and scalable solutions rather than one-off scripts.
- Ability to work closely with QA and RD teams, understand real testing pain points, and turn them into practical engineering solutions.
- Able to collaborate with cross-functional teams in an international environment.
Preferred Qualifications:
- Experience building reusable testing infrastructure, automation platforms, AI tools, or internal productivity tools used by multiple teams.
- Experience applying AI/LLM capabilities to improve testing efficiency, such as test case generation, test data generation, log analysis, defect triage, root cause analysis, regression selection, risk assessment, or test reporting.
- Experience working on complex systems where quality depends on cross-service validation, data consistency, configuration correctness, or end-to-end business flows.
- Experience integrating automation or AI outputs with test management systems, dashboards, ticketing systems, or release processes.
Additional Information
- Salary: $162,000 – $316,800
- Posted: Jun 4, 2026