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

Bytedance; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

ByteDance is seeking a highly capable Software Engineer to design and evolve the Developer Services R&D infrastructure, spanning build systems, artifact management, data distribution, and the software supply chain.

You will build infrastructure for AI training/inference, drive performance improvements, and help create a company-wide ecosystem for AI extensibility and the Skill Market, enabling scalable AI capabilities across teams.

Qualifications

• Bachelor’s degree or higher in Computer Science or a related field.
• Proficiency in Go, Java, C++, Python, or Rust with strong CS fundamentals.
• Familiarity with distributed systems and hands-on experience in storage, computing, caching, messaging, observability, or reliability engineering.
• Strong problem-solving, system design, and execution skills; able to diagnose issues across complex paths.
• Curiosity and enthusiasm for AI in software engineering; strong learning and ownership.

Responsibilities

• Design, develop, and evolve the company’s R&D infrastructure across build systems, artifact management, data distribution, and software supply chain.
• Build infrastructure for large-scale AI training and inference; improve performance across build, distribution, caching, and cross-region transfer.
• Develop an ecosystem for AI extensibility and the Skill Market; support versioning, publishing, distribution, quality evaluation, and governance of Skills and Plugins.
• Explore AI technologies to build domain-specific Agents; address troubleshooting, on-call operations, and automated remediation.
• Architect and optimize large-scale distributed systems to improve throughput, reliability, observability, and developer experience.

Skills

Go

Java

C++

Python

Rust

Distributed systems

Problem solving

Communication

Education

Bachelor’s degree in Computer Science or related field

Tools

CI/CD tooling

Artifact repositories

Cloud-native technologies

AI tooling

Job description

Responsibilities

Team Introduction

The Developer Services team builds and evolves the core R&D infrastructure that powers software delivery at scale across ByteDance, spanning build systems, artifact management, artifact distribution, and the software supply chain. Our platforms support a broad range of businesses, technology stacks, and delivery scenarios. Improvements to architecture, performance, or developer experience can be adopted quickly at scale and translated into tangible business impact.

Building on this foundation, we are expanding into AI-native infrastructure, including infrastructure for large-scale AI training and inference, artifact context, lifecycle management for Skills as first‑class artifacts, and a widely used Skill Market in ByteDance. We also continuously explore and apply technologies such as Agent Harness, closed‑loop execution, tool use, context engineering, evaluation, and observability in real‑world scenarios. This creates a unique opportunity to combine the rigor and scale of core infrastructure with cutting‑edge AI engineering.

Responsibilities

1. Design, develop, and continuously evolve the company’s R&D infrastructure across build systems, artifact management, data distribution, and software supply chain. Deliver stable, efficient, and easy-to-use platform capabilities that support multiple programming languages, hardware architectures, and global software delivery;
2. Build infrastructure for large-scale AI training and inference. Drive performance and efficiency improvements across container image build, image and artifact distribution, caching, storage, and cross-region data transfer to address the challenges of high concurrency, massive throughput, and rapid scaling;
3. Build and evolve a company‑wide ecosystem for AI extensibility and the Skill Market, serving both the company‑wide public marketplace and private team workspaces. Support the development, versioning, publishing, distribution, quality evaluation, and governance of Skills, Plugins, and other extension formats, making AI capabilities easier to create and adopt;
4. Explore and apply AI technologies to build domain‑specific Agents. Turn domain knowledge, business data, and system tools into capabilities that can be understood, invoked, and executed by Agents. Address challenges in build troubleshooting, on‑call operations, SDK dependency upgrades, risk governance, fault diagnosis, and automated remediation, advancing AI from assisted analysis toward closed‑loop resolution;
5. Architect and optimize large‑scale distributed systems to continuously improve throughput, reliability, observability, and developer experience. Work closely with engineering, security, infrastructure, and AI business teams to understand real‑world requirements and drive complex projects from design to adoption at scale.

Qualifications

Minimum Qualifications

1. Bachelor’s degree or higher in Computer Science or a related field, with experience in designing, building, and continuously evolving large‑scale backend systems;
2. Proficiency in one or more programming languages, such as Go, Java, C++, Python, or Rust, with strong computer science fundamentals, sound coding practices, and solid engineering skills;
3. Familiarity with distributed systems and hands‑on experience in one or more areas such as storage, computing, task scheduling, caching, messaging, observability, or reliability engineering;
4. Strong problem‑solving, system design, and execution skills, with the ability to diagnose issues across complex system paths and drive long‑term, systematic solutions;
5. Curiosity and enthusiasm for technology, an interest in applying AI to software engineering, strong learning and ownership, and the ability to communicate, collaborate, and drive projects effectively.

Preferred Qualifications

1. Experience in DevOps, CI/CD, build systems, artifact repositories, cloud‑native technologies, or software supply chain security;
2. Hands‑on experience with AI Agents, RAG, tool use, MCP/Skills, AI evaluation, or AI observability;
3. Experience with large‑scale distributed systems, globally distributed multi‑region systems, or infrastructure for AI training and inference, or contributions to relevant open‑source communities.

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an \"Always Day 1\" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.