Backend Software Engineer Graduate (TikTok - Data Lifecycle Management) - 2027 Start
Aug 7, 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: 10,000+ employees
- Industry: Technology: Consumer Internet
Why you should apply for a job to TikTok:
4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
Responsibilities
About the Team
The TikTok Eng - Privacy and Security - Data Lifecycle Management (DLM) team builds the core client-data privacy compliance control mid-platform across all applications under the TikTok brand family. Our platform centrally manages data collection, transmission, processing, and sharing behaviors at client runtime. We provide reliable, high-throughput, and scalable data behavior management services to achieve comprehensive client data governance.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
Responsibilities
- Design, implement, and optimize high-throughput backend microservices for the client data privacy control mid-platform to manage runtime data behaviors across millions of concurrent client instances.
- Build and maintain scalable backend systems for real-time tracking, policy enforcement, and auditable control of data collection, transmission, storage, processing, and retention.
- Translate global data protection mandates into automated backend services to establish measurable metrics and audit logs that strengthen the company's overall compliance framework.
- Author clean, high-performance core code while tuning low-latency, high-availability distributed systems that handle high-volume data streams without impacting user experience.
- Partner with Security Researchers, Privacy Architects, Product Managers, and the PDPO team to embed privacy-by-design standards directly into core technical architectures from day one.
Qualifications
Minimum Qualifications
- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related discipline.
- Core Programming Mastery: Strong software engineering foundation with proficiency in at least one backend language (Golang, Java, C++, or Python).
- Computer Science Fundamentals: Solid grounding in data structures, algorithms, operating systems, networking protocols, and database fundamentals.
- System Design & Abstraction: Excellent logical problem-solving abilities, with a capacity to abstract complex compliance requirements into clean, scalable technical designs.
Preferred Qualifications
- Domain Exposure: Academic projects, open-source contributions, or internship experience in distributed systems, data governance, API gateways, access controls, or privacy-enhancing technologies (PETs).
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $128000 - $256000 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.
About the Team
The TikTok Eng - Privacy and Security - Data Lifecycle Management (DLM) team builds the core client-data privacy compliance control mid-platform across all applications under the TikTok brand family. Our platform centrally manages data collection, transmission, processing, and sharing behaviors at client runtime. We provide reliable, high-throughput, and scalable data behavior management services to achieve comprehensive client data governance.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
Responsibilities
- Design, implement, and optimize high-throughput backend microservices for the client data privacy control mid-platform to manage runtime data behaviors across millions of concurrent client instances.
- Build and maintain scalable backend systems for real-time tracking, policy enforcement, and auditable control of data collection, transmission, storage, processing, and retention.
- Translate global data protection mandates into automated backend services to establish measurable metrics and audit logs that strengthen the company's overall compliance framework.
- Author clean, high-performance core code while tuning low-latency, high-availability distributed systems that handle high-volume data streams without impacting user experience.
- Partner with Security Researchers, Privacy Architects, Product Managers, and the PDPO team to embed privacy-by-design standards directly into core technical architectures from day one.
Minimum Qualifications
- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related discipline.
- Core Programming Mastery: Strong software engineering foundation with proficiency in at least one backend language (Golang, Java, C++, or Python).
- Computer Science Fundamentals: Solid grounding in data structures, algorithms, operating systems, networking protocols, and database fundamentals.
- System Design & Abstraction: Excellent logical problem-solving abilities, with a capacity to abstract complex compliance requirements into clean, scalable technical designs.
Preferred Qualifications
- Domain Exposure: Academic projects, open-source contributions, or internship experience in distributed systems, data governance, API gateways, access controls, or privacy-enhancing technologies (PETs).
About the Team
The TikTok Eng - Privacy and Security - Data Lifecycle Management (DLM) team builds the core client-data privacy compliance control mid-platform across all applications under the TikTok brand family. Our platform centrally manages data collection, transmission, processing, and sharing behaviors at client runtime. We provide reliable, high-throughput, and scalable data behavior management services to achieve comprehensive client data governance.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
Responsibilities
- Design, implement, and optimize high-throughput backend microservices for the client data privacy control mid-platform to manage runtime data behaviors across millions of concurrent client instances.
- Build and maintain scalable backend systems for real-time tracking, policy enforcement, and auditable control of data collection, transmission, storage, processing, and retention.
- Translate global data protection mandates into automated backend services to establish measurable metrics and audit logs that strengthen the company's overall compliance framework.
- Author clean, high-performance core code while tuning low-latency, high-availability distributed systems that handle high-volume data streams without impacting user experience.
- Partner with Security Researchers, Privacy Architects, Product Managers, and the PDPO team to embed privacy-by-design standards directly into core technical architectures from day one.
Qualifications
Minimum Qualifications
- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related discipline.
- Core Programming Mastery: Strong software engineering foundation with proficiency in at least one backend language (Golang, Java, C++, or Python).
- Computer Science Fundamentals: Solid grounding in data structures, algorithms, operating systems, networking protocols, and database fundamentals.
- System Design & Abstraction: Excellent logical problem-solving abilities, with a capacity to abstract complex compliance requirements into clean, scalable technical designs.
Preferred Qualifications
- Domain Exposure: Academic projects, open-source contributions, or internship experience in distributed systems, data governance, API gateways, access controls, or privacy-enhancing technologies (PETs).
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $128000 - $256000 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
ResponsibilitiesAbout the Team
The TikTok Eng - Privacy and Security - Data Lifecycle Management (DLM) team builds the core client-data privacy compliance control mid-platform across all applications under the TikTok brand family. Our platform centrally manages data collection, transmission, processing, and sharing behaviors at client runtime. We provide reliable, high-throughput, and scalable data behavior management services to achieve comprehensive client data governance.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
Responsibilities
- Design, implement, and optimize high-throughput backend microservices for the client data privacy control mid-platform to manage runtime data behaviors across millions of concurrent client instances.
- Build and maintain scalable backend systems for real-time tracking, policy enforcement, and auditable control of data collection, transmission, storage, processing, and retention.
- Translate global data protection mandates into automated backend services to establish measurable metrics and audit logs that strengthen the company's overall compliance framework.
- Author clean, high-performance core code while tuning low-latency, high-availability distributed systems that handle high-volume data streams without impacting user experience.
- Partner with Security Researchers, Privacy Architects, Product Managers, and the PDPO team to embed privacy-by-design standards directly into core technical architectures from day one.
Qualifications
QualificationsMinimum Qualifications
- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related discipline.
- Core Programming Mastery: Strong software engineering foundation with proficiency in at least one backend language (Golang, Java, C++, or Python).
- Computer Science Fundamentals: Solid grounding in data structures, algorithms, operating systems, networking protocols, and database fundamentals.
- System Design & Abstraction: Excellent logical problem-solving abilities, with a capacity to abstract complex compliance requirements into clean, scalable technical designs.
Preferred Qualifications
- Domain Exposure: Academic projects, open-source contributions, or internship experience in distributed systems, data governance, API gateways, access controls, or privacy-enhancing technologies (PETs).
Additional Information
- Salary: $128,000 – $256,000
- Posted: Aug 7, 2026