Software Engineer II, Multi-cloud

United States Digital Space LLC; Singapore; On-site; SGD 75,000 - 100,000; Full time

Job summary

United States Digital Space LLC is seeking a Software Engineer II in Singapore to enhance and deliver market-leading technology products in a secure, scalable manner. This role emphasizes Google Cloud enablement and leveraging AI/ML technologies for innovation.

The ideal candidate will have a strong background in software engineering, particularly with Google Cloud Platform and Python. You'll thrive in an agile environment and contribute across the Software Development Life Cycle, ensuring high-quality outputs.

Qualifications

• 3+ years of hands-on experience in software engineering focused on Google Cloud Platform.
• Advanced proficiency in Python, with ability in additional programming languages.
• Solid understanding of cloud-native architectures and microservices design.

Responsibilities

• Develop secure and high-quality production code and reviews/debugs code written by others.
• Contributes to product design, application functionality, and technical operations.
• Actively contributes to the engineering community advocating firmwide frameworks.

Skills

Software engineering

Google Cloud Platform

Python

Terraform

AI/ML technologies

Education

Bachelor’s Degree in Computer Science or equivalent

Tools

GitHub Co-Pilot

Gemini Code Assist

Job description

Job Description

As a Software Engineer II, you are an essential member of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. The role is positioned within a multi-cloud environment, with a focus on spearheading Google Cloud enablement while continuing to elevate Azure offerings. You will also leverage emerging AI/ML technologies to drive innovation and efficiency across cloud platform solutions.

Job Responsibilities

• Develops secure and high-quality production code, and reviews and debugs code written by others
• Contributes to product design, application functionality, and technical operations and processes
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading‑edge technologies, including AI/ML‑driven solutions and AI‑assisted development practices Adds to the team culture of diversity, opportunity, inclusion, and respect
• Leverages AI‑powered tools and methodologies to enhance code quality, accelerate development workflows, and optimize cloud infrastructure solutions

Required Qualifications, Capabilities, and Skills

• 3+ years of hands‑on experience in software engineering with a strong focus on Google Cloud Platform (Azure experience also considered)
• Bachelor’s Degree in Computer Science or equivalent
• Proficient in Terraform for infrastructure as code, enabling efficient and repeatable cloud resource management
• Advanced proficiency in Python (mandatory), with the ability to work across additional programming languages
• Solid understanding of cloud‑native architectures, microservices design, and modern software development principles
• Demonstrated expertise across the full Software Development Life Cycle (SDLC), including design, development, testing, and deployment
• Proven ability to deliver in Agile, Scrum, or DevOps environments with a focus on iterative and high‑quality releases
• In‑depth knowledge in one or more technical disciplines such as cloud computing, artificial intelligence, or machine learning
• Strong problem‑solving mindset with the ability to collaborate effectively across cross‑functional teams
• Formal training or certification in cloud software development concepts

Preferred Qualifications, Capabilities, and Skills

• Hands‑on experience with AI‑assisted development tools such as Gemini Code Assist, GitHub Co‑Pilot, or Claude Code
• Working knowledge of Artificial Intelligence platforms such as Gemini or OpenAI with the ability to apply AI‑driven solutions to practical cloud engineering problems
• Exposure to integrating AI/ML workflows into cloud infrastructure, automation pipelines, and DevOps practices
• Azure or Google certification
• Experience with Spec by Example for high‑quality software delivery
• Experience collaborating with architects on technical strategies and architectural integrity

Equal Employment Opportunity Statement

We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.