Forward Deployed Software Engineer

About the role

Temus is a Temasek-backed consulting firm providing digital transformation solutions for the private and public sectors. We aspire to be a strategic partner in realising the Singapore Government’s Smart Nation vision. We are headquartered in Singapore and have more than 400 employees across a wide range of disciplines in strategy, design, architecture, technology, data & AI.

Our Purpose

- Place client value and human experience at the centre of everything we do.

- Leverage technology, AI and data to solve complex business challenges and deliver transformative outcomes.

- Build trusted, scalable, and impactful digital solutions across public and private sectors.

- Foster innovation, collaboration, and continuous learning across our teams.

Your Role

- Partner closely with clients to understand business challenges and translate them into scalable technology solutions.

- Design, build, and deploy production-grade applications that leverage AI, data, and cloud technologies to create measurable business value.

- Work directly with client stakeholders, product teams, AI engineers, data scientists, and solution architects to deliver end-to-end solutions.

- Rapidly prototype, iterate, and productionise solutions based on user feedback and evolving business requirements.

- Serve as a trusted technical advisor, bridging business needs and technical implementation.

- Invest continuously in building and extending your technical, consulting, and domain expertise.

Requirements

Software Engineering & Development

- Strong software engineering fundamentals with experience building scalable, production-grade applications.

- Proficiency in Python and modern backend frameworks such as FastAPI, Flask, Django, or Node.js.

- Experience developing RESTful APIs, microservices, and cloud-native applications.

- Familiarity with frontend technologies such as React, Angular, or Vue.js is advantageous.

Cloud & Platform Engineering

- Experience deploying applications on AWS, Azure, or Google Cloud Platform.

- Familiarity with Docker, Kubernetes, Terraform, Helm, and CI/CD pipelines.

- Understanding of scalability, reliability, and distributed systems.

AI & Data Applications

- Experience integrating AI, GenAI, or machine learning capabilities into business applications.

- Familiarity with platforms such as OpenAI, Azure OpenAI, AWS Bedrock, Vertex AI, LangChain, or LangGraph is advantageous.

- Ability to collaborate with AI Engineers and Data Scientists to productionise AI solutions.

Client Delivery & Consulting

- Strong problem-solving skills with the ability to deliver solutions in ambiguous environments.

- High ownership mindset with a track record of driving initiatives end-to-end.