Software Engineer – Scale Systems for Millions (Singapore)

United States Digital Space LLC; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

United States Digital Space LLC is seeking software engineers to build next‑generation technologies for billions of users, focusing on scalability, performance and reliability. You will own end‑to‑end user flows and contribute across the full stack.

Ideal candidates have a master’s or PhD in CS, 2+ years of experience with data structures and algorithms, and history delivering scalable mobile, full‑stack or backend systems while collaborating across teams.

Qualifications

• Master's degree or PhD in Computer Science or related field.
• 2 years of experience with data structures and algorithms.
• Experience building systems that scale to millions of users globally.
• Mobile app, full-stack or back-end development experience.
• Working effectively with cross team members to drive features end-to-end.

Responsibilities

• Write and test product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Skills

Data structures

Algorithms

Mobile development

Full-stack

Backend development

Cross-team work

Education

Master's degree or PhD in Computer Science

Job description

United States Digital Space LLC is seeking software engineers to build next‑generation technologies for billions of users, focusing on scalability, performance and reliability. You will own end‑to‑end user flows and contribute across the full stack.

Ideal candidates have a master’s or PhD in CS, 2+ years of experience with data structures and algorithms, and history delivering scalable mobile, full‑stack or backend systems while collaborating across teams.