About the Client

The client is a Frontier Systems Integrator specializing in building and deploying agentic AI solutions for leading banks, telecommunications companies, insurers, and retailers across Asia Pacific.

The company works on high-impact technology challenges for organizations operating critical financial and digital infrastructure across the region.

The client operates exclusively on AWS and leverages AWS partnership programmes to support co-selling opportunities, funded innovation initiatives, and enterprise delivery across multiple markets.

They are looking for engineers who are technically capable, delivery-oriented, collaborative, and eager to solve complex engineering problems.

About the Role

The Software Development Engineer I (SDE I) is an early-career engineering position focused on building, testing, and delivering production software as part of the client's delivery teams.

Working alongside and receiving guidance from senior engineers, you will contribute to features, backend services, and engineering tools that support enterprise AI solutions deployed in regulated environments.

This position is designed to help you establish strong engineering fundamentals, write clean and reliable code, and gain practical experience working with AWS-based production environments.

Engineers are also expected to make effective use of AI coding assistants and automation tools to improve productivity across development, testing, debugging, documentation, and delivery.

Key Responsibilities

• Develop well-defined features, services, and bug fixes with support from senior engineers.
• Write clean, maintainable, and well-tested code following engineering standards and code review practices.
• Build and maintain backend services and APIs using technologies such as Python and FastAPI, with opportunities to contribute to frontend development when required.
• Develop and execute unit and integration tests and support automated testing workflows.
• Deploy and operate applications using AWS services such as ECS, Lambda, API Gateway, and CloudWatch under supervision.
• Participate in code reviews, technical discussions, and Agile ceremonies.
• Incorporate feedback effectively and continuously improve your implementation.
• Investigate and resolve technical issues across development, staging, and production environments.
• Maintain technical documentation, configurations, and operational runbooks.
• Use AI-powered development tools and automation to improve engineering efficiency and code quality.

Requirements

• 3+ years of software engineering experience, including relevant internships, academic projects, or open-source work.
• Strong programming fundamentals in at least one language such as Python, Java, TypeScript, or Go.
• Understanding of data structures, algorithms, APIs, databases, and Git.
• Exposure to cloud technologies, preferably AWS, with a basic understanding of CI/CD and software testing.
• Strong problem-solving ability and a willingness to learn.
• Good attention to detail and commitment to producing quality work.
• Clear communication skills and the ability to collaborate effectively within a team.

Nice to Have

• Internship or project experience involving software that has been released and used by real users.
• Exposure to AWS, containerization, or AI/LLM application development.
• Experience using AI tools to accelerate learning, development, debugging, or improve code quality.
• Contributions to open-source projects or personal software engineering projects.

Location & Travel

The client's customers are located across Southeast Asia, ANZ, and Japan. Travel and onsite engagement may be required depending on project needs.

Relocation support may also be considered based on business requirements.

What Success Looks Like

• Deliver well-tested, reviewed, and reliable code within expected timelines.
• Continuously develop your technical capabilities and gradually work with less supervision.
• Contribute positively to team productivity and overall engineering quality.
• Grow into a dependable software engineer capable of taking on increasingly larger responsibilities.

English Requirement

Fluent spoken and written English is required.

Strong communication skills are important when collaborating with engineering teams, delivery teams, and enterprise stakeholders across different markets.

Local language proficiency is considered an advantage, particularly for projects involving Japan, Vietnam, Thailand, and the Philippines.

Certifications

The following certifications are considered a plus:

• AWS Certified Cloud Practitioner
• AWS Certified Developer – Associate

What the Client Offers

• Competitive compensation aligned with market standards.
• Opportunities to work on enterprise-scale AI transformation projects across Asia Pacific.
• Exposure to advanced AI development tools and AWS technologies.
• Experience working within the AWS partnership ecosystem.
• Opportunities to work on complex technology projects in regulated industries.
• Strong opportunities for technical learning, mentorship, and career development.

Why Join?

This is an opportunity for early-career engineers to work on production-scale agentic AI systems supporting complex enterprise environments across Asia Pacific.

You will build strong software engineering foundations, learn from experienced engineers, gain hands-on exposure to AWS and AI technologies, and progressively take ownership of larger and more challenging engineering tasks.