Senior Backend Software Engineer, AI Infrastructure SDLC - Engineering Efficiency

Senior Backend Software Engineer, AI Infrastructure for SDLC – Engineering Efficiency

Location:

Seattle

Employment Type:

Regular

Job Code: A36927A

• 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, optimizing 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:
  • Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related technical field.
  • 5+ 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:
  • Experience improving engineering efficiency, developer productivity, or Dev Ops 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 $202,160 – $368,220 annually. Compensation may vary based on qualifications, skills, and experience. Base pay is one part of the total package, which may include discretionary bonuses, incentive plans, and restricted stock units.

Employees receive 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; 10 paid holidays and 10 paid sick days annually; and 17 days of paid personal time (prorated upon hire with increasing accruals by tenure).