Software Engineer - Service Platform

About the role

About The Team The Service Platform team builds the cloud foundation that powers ByteDance's global ecosystem, providing comprehensive infrastructure solutions including serverless computing and resource quota management for full-stack engineering teams across the organization.

Our mission is to enable safer deployment processes, expand deployment capabilities, and deliver robust control mechanisms to optimize business operations and reduce costs. As part of our drive for innovation, we are continuously expanding our PaaS offerings to support AI infrastructure development through next generation technologies with MCP and AI Sandbox.

What you will be doing: - Design, develop, and optimize the core platform services and ecosystem components; - Collaborate with AI infrastructure teams to integrate specialized tooling and execution environments; - Continuously improve platform efficiency and cost-effectiveness through system optimization; - Establish and enforce platform engineering best practices across internal product lines;

Requirements Minimum Qualifications: - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. - Proficiency in Go/Python/Rust/Typescript and strong systems programming skills. - Deep understanding of Linux, networking (TCP/IP, HTTP), and distributed systems. - Experience in infrastructure products (e.g., monitoring, logging, service mesh, storage). - Familiarity with cloud-native technologies (Kubernetes, Docker) and large-scale system design.

Preferred Qualifications: - Experience with PaaS platforms or service deployment systems - Knowledge of AI/ML platform infrastructure and tooling - Background in resource scheduling and optimization - Contributions to open-source infrastructure projects

See the posting on ByteDance's site