9 hours ago

Backend Software Engineer, AI Infrastructure for SDLC - Engineering Efficiency

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Build and evolve backend services and platform capabilities that improve engineering efficiency, developer experience, and software delivery quality. Define SDLC standards and scalable development workflows, and design CI/CD, release, and deployment platforms for reliable, automated delivery. Continuously optimize availability, observability, maintainability, and performance, while integrating AI/LLM capabilities (assistants, code generation/review, troubleshooting, and RAG-style tools) into engineering platforms to drive practical adoption across teams.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and evolve backend services and platform capabilities to improve engineering efficiency and software delivery quality.
•Define and promote SDLC standards, engineering best practices, and scalable development workflows across teams.
•Build and optimize CI/CD, release, and deployment platforms for 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 and integrate AI/LLM capabilities into internal engineering platforms and workflows.

Key Requirements

•Bachelor’s degree or higher in Computer Science, Computer Engineering, or 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 and microservices architecture, including scalability and performance optimization.
•Hands-on experience with databases, caching, and messaging systems (e.g., MySQL, Redis, Kafka) and with AI/LLM application integrations (e.g., LLM integration, prompt engineering, RAG, model evaluation, or AI workflow orchestration).

Experience:2+ yearsMicroservicesDistributed systemsDevOpsAI/LLM

Education:Bachelor's in Computer Science, Computer Engineering, or a related technical field

Skills:CommunicationCollaborationOwnershipResponsibilityProblem-solvingLearning ability

Tech Stack:GoJavaPythonMySQLRedisKafkaCI/CDMicroservicesDistributed systemsLLMPrompt engineeringRAGModel evaluationAI workflow orchestration

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

9 hours ago

Backend Software Engineer, AI Infrastructure for SDLC - Engineering Efficiency

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and evolve backend services and platform capabilities to improve engineering efficiency and software delivery quality.
•Define and promote SDLC standards, engineering best practices, and scalable development workflows across teams.
•Build and optimize CI/CD, release, and deployment platforms for 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 and integrate AI/LLM capabilities into internal engineering platforms and workflows.

Key Requirements

•Bachelor’s degree or higher in Computer Science, Computer Engineering, or 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 and microservices architecture, including scalability and performance optimization.
•Hands-on experience with databases, caching, and messaging systems (e.g., MySQL, Redis, Kafka) and with AI/LLM application integrations (e.g., LLM integration, prompt engineering, RAG, model evaluation, or AI workflow orchestration).

Experience:2+ yearsMicroservicesDistributed systemsDevOpsAI/LLM

Education:Bachelor's in Computer Science, Computer Engineering, or a related technical field

Skills:CommunicationCollaborationOwnershipResponsibilityProblem-solvingLearning ability

Tech Stack:GoJavaPythonMySQLRedisKafkaCI/CDMicroservicesDistributed systemsLLMPrompt engineeringRAGModel evaluationAI workflow orchestration

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn