The Global E-commerce Engineering Efficiency team focuses on building SDLC platforms, CI/CD pipelines, release and deployment systems, developer tooling, and best practices that enhance DevOps maturity, engineering quality, and developer productivity across global E-commerce.
Responsibilities:
- Design, build, and evolve backend services and platform capabilities that improve engineering efficiency, developer experience, and software delivery quality.
- Define and promote SDLC standards, engineering best practices, and scalable development workflows across global E-commerce engineering teams.
- Build and optimize CI/CD, release, and deployment platforms to support reliable, automated, and scalable software delivery.
- Improve platform availability, observability, maintainability, and performance through continuous system optimization.
- Design and deliver AI-powered developer productivity solutions, including AI assistants, code generation, code review, troubleshooting, and knowledge support tools.
- Integrate AI/LLM capabilities into internal engineering platforms and workflows, and optimize prompts, models, and application flows for accuracy, reliability, scalability, and safe usage.
- Partner with cross-functional engineering teams to identify high-impact AI use cases across the software development lifecycle and drive practical adoption.
Minimum Qualifications:
- Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related technical field.
- 2+ years of experience in backend software development.
- Proficiency in one or more programming languages such as Go, Java, or Python.
- Solid understanding of distributed systems, microservices architecture, service governance, load balancing, scalability, and performance optimization.
- Hands-on experience with databases, caching systems, and messaging frameworks such as MySQL, Redis, Kafka, or other message queues.
- Hands-on experience building or integrating AI-related applications, platforms, or solutions, with familiarity in areas such as LLM integration, prompt engineering, RAG, model evaluation, or AI workflow orchestration.
- Strong ability to apply AI/LLM technologies to improve engineering efficiency, developer experience, or software delivery processes, with strong communication, collaboration, ownership, and responsibility.
Preferred Qualifications:
- Experience improving engineering efficiency, developer productivity, or DevOps maturity at the team or organizational level.
- Understanding of observability, reliability, and performance optimization for large-scale systems.
- Passion for programming, strong learning ability, intellectual curiosity, and a proactive mindset toward staying current with industry technologies.
The base salary range for this position in the selected city is $148200 - $300960 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.
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Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
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