Backend Software Engineer Graduate (Service Platform) - 2026 Start (BS/MS)
ByteDance
Posted 5 days ago
About this role
Full Time Entry-level Backend Software Engineer Graduate (Service Platform) - 2026 Start (BS/MS) in AI at ByteDance in Singapore, Singapore. Apply directly through the link below.
At a glance
- Work mode
- Office
- Employment
- Full Time
- Location
- Singapore, Singapore
- Experience
- Entry-level
Core stack
- Infrastructure
- Optimization
- Onboarding
- Innovation
- Efficiency
- Design
- Less
- AI
Quick answers
What skills are required?
Infrastructure, Optimization, Onboarding, Innovation, Efficiency, Design, Less, AI.
ByteDance is hiring for this role. Visit career page
Singapore, Singapore
About the Team
The Service Platform team builds the cloud foundation that powers ByteDance's global ecosystem, providing comprehensive infrastructure solutions including server-less 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.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
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;
The Service Platform team builds the cloud foundation that powers ByteDance's global ecosystem, providing comprehensive infrastructure solutions including server-less 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.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
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;