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Backend Software Engineer, AI Infrastructure for SDLC - Engineering EfficiencyTik Tok • Seattle, Washington, United States
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Backend Software Engineer, AI Infrastructure for SDLC - Engineering Efficiency

Tik Tok
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Jetzt Bewerben

Über

Location Seattle
Employment Type Regular
Job Code A97966A
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.
Compensation The base salary range for this position in Seattle is $148,200 – $300,960 annually. Compensation may vary outside this range based on qualifications, skills, and experience.
Benefits Employees receive 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; 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).
Legal Notice 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. Candidates may be disqualified for duties that involve interacting with clients or colleagues, handling confidential information, or exercising sound judgment.
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  • Seattle, Washington, United States

Sprachkenntnisse

  • English
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