ByteDance

2 days ago

Senior Backend Software Engineer (AI Infrastructure / Artifact Management) – Developer Services

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Build and evolve ByteDance’s R&D backend infrastructure that powers software delivery at scale, including build systems, artifact management, distribution, and the software supply chain. Develop AI-native infrastructure for large-scale training and inference, improving container image build, distribution, caching, storage, and cross-region data transfer. Drive an AI extensibility ecosystem (Skills/Plugins/Skill Market) and architect large-scale distributed systems for throughput, reliability, observability, and developer experience.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, develop, and continuously evolve R&D infrastructure across build systems, artifact management, data distribution, and the software supply chain.
•Build infrastructure for large-scale AI training and inference, improving performance and efficiency in container image builds, artifact distribution, caching, storage, and cross-region transfer.
•Create and evolve an AI extensibility ecosystem for Skills and the Skill Market, supporting development, versioning, publishing, distribution, evaluation, and governance.
•Explore and apply AI technologies to build domain-specific Agents, converting knowledge and tools into capabilities that Agents can invoke and execute for closed-loop resolution.
•Architect and optimize large-scale distributed systems to improve throughput, reliability, observability, and developer experience, partnering with engineering, security, infrastructure, and AI teams.

Key Requirements

•Bachelor’s degree or higher in Computer Science (or related) with experience designing and continuously evolving large-scale backend systems.
•Proficiency in one or more programming languages such as Go, Java, C++, Python, or Rust, with strong CS fundamentals and coding practices.
•Familiarity with distributed systems and hands-on experience in areas like storage, computing, task scheduling, caching, messaging, observability, or reliability engineering.
•Strong problem-solving and system design skills, with the ability to diagnose issues across complex system paths and drive long-term solutions.
•Curiosity about applying AI to software engineering, with strong communication, collaboration, and ownership to drive projects effectively.

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

Skills:Problem-solvingSystem designOwnershipCommunicationCollaboration

Tech Stack:GoJavaC++PythonRustContainer image buildArtifact managementArtifact distributionCachingStorageCross-region data transferDistributed systemsTask schedulingMessagingObservabilityReliability engineeringDevOpsCI/CDArtifact repositoriesCloud-native technologies

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

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ByteDance

2 days ago

Senior Backend Software Engineer (AI Infrastructure / Artifact Management) – Developer Services

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, develop, and continuously evolve R&D infrastructure across build systems, artifact management, data distribution, and the software supply chain.
•Build infrastructure for large-scale AI training and inference, improving performance and efficiency in container image builds, artifact distribution, caching, storage, and cross-region transfer.
•Create and evolve an AI extensibility ecosystem for Skills and the Skill Market, supporting development, versioning, publishing, distribution, evaluation, and governance.
•Explore and apply AI technologies to build domain-specific Agents, converting knowledge and tools into capabilities that Agents can invoke and execute for closed-loop resolution.
•Architect and optimize large-scale distributed systems to improve throughput, reliability, observability, and developer experience, partnering with engineering, security, infrastructure, and AI teams.

Key Requirements

•Bachelor’s degree or higher in Computer Science (or related) with experience designing and continuously evolving large-scale backend systems.
•Proficiency in one or more programming languages such as Go, Java, C++, Python, or Rust, with strong CS fundamentals and coding practices.
•Familiarity with distributed systems and hands-on experience in areas like storage, computing, task scheduling, caching, messaging, observability, or reliability engineering.
•Strong problem-solving and system design skills, with the ability to diagnose issues across complex system paths and drive long-term solutions.
•Curiosity about applying AI to software engineering, with strong communication, collaboration, and ownership to drive projects effectively.

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

Skills:Problem-solvingSystem designOwnershipCommunicationCollaboration

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn