Senior Software Engineer, Enterprise Singapore
GovTech Singapore is hiring a Senior Software Engineer, Enterprise Singapore (Singapore). Level rates it ; you can apply on GovTech Singapore.
Level's read on this job
- On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Claude, LangGraph and N8n among its tools and skills.
- Level classes it as a senior role.
- GovTech Singapore has 257 other open roles on Level.
AI in this role
GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.
At GovTech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round.
Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today!
Learn more about GovTech at tech.gov.sg.
[What you will be working on]
We are seeking a Senior Software Engineer to lead an AI-Workflow product that allows officers to automate their work without writing code. As the lead, you will set the technical direction while staying hands-on across the whole tech-stack including React canvas to python execution engine.
As Senior Software Engineer of GovTech deployed at Enterprise Singapore, you'll:
- Partner with stakeholders and users to prioritise and manage the roadmap towards the product vision and goals
- Collaborate with Product Managers and Designers to shape the team’s technical and delivery goals
- Own the product end to end across the full stack: the React/TypeScript workflow canvas, the Python (FastAPI) backend, the DAG execution engine, and the AWS infrastructure underneath it, managed as code with Terraform
- Design and evolve architectures that meet stringent requirements for reliability, resilience, scalability and cybersecurity, including safely running user-authored code and high volumes of LLM calls
- Build and operate LLM features in production: model integrations, structured outputs, prompt design, AI-assisted workflow generation, and managing latency, rate limits and cost
- Work like a startup: move fast, ship often, talk to users directly, and pick up whatever the product needs, whether that is a feature, an incident, an infrastructure change or a user demo
- Balance new feature delivery with technical sustainability, maintainability and risk mitigation
- Bring strong technical judgement, helping engineers navigate design and architecture trade-offs in line with long-term goals
- Ensure the team ships high-quality software predictably and improves over time through CI/CD, automated testing and observability
- Monitor delivery health, reliability and tech debt, and address root causes, not just symptoms
- Meet regularly with engineers to discuss their performance and professional growth, offering constructive feedback, mentoring and guidance
[What we are looking for]
- Has strong experience building modern full-stack web applications, e.g. React, TypeScript, JavaScript and CSS on the frontend, and Python (FastAPI or similar) on the backend
- Has hands-on experience with AWS (e.g. ECS/Fargate, EKS/Kubernetes, RDS/PostgreSQL, S3, IAM) and infrastructure as code with Terraform
- Is comfortable with containers and CI/CD pipelines (e.g. Docker, Helm, GitLab CI)
- Has built LLM-powered features in production, or is keen to; experience with workflow or orchestration tools (e.g. n8n, Airflow, LangGraph) is a plus
- Must be fluent with AI coding tools such as Claude Code and Codex, and the practices that make them effective: giving agents good context and specs, breaking work into reviewable pieces, and rigorously reviewing and testing AI-generated code
- Has a startup mindset: biases towards action, is comfortable with ambiguity, iterates quickly with users, and is happy to work across every layer of the product
- Stays close to the technical details, whether through architecture reviews, design docs, code reviews or hands-on contributions
- Brings clarity, helping the team prioritise, plan and focus in a complex environment
- Understands how software systems and engineering practices scale, and can guide improvements across architecture, testing, observability and infrastructure
- Believes in shared success, and collaborates openly across functions, domains and agencies
- Takes ownership of outcomes, and holds the team to a high standard of quality, security and delivery
Additional Job Description
- Bachelor’s or Master’s degree in Data Science, Engineering, Computer Science, or a related field (or equivalent experience)
- 7 to 10 years of experience in Software Engineering, at least 2 of which in a leadership capacity
- Proven ability to work collaboratively with cross functional teams
- Proven ability to work collaboratively with senior stakeholders and leadership
- Good communication and storytelling skills, with the ability to present findings clearly and persuasively
- Strong analytical thinking with attention to detail and ability to handle ambiguity.
What we offer you:
GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is the foundation to innovation.
Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programs.
We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.
Learn more about life inside GovTech at go.gov.sg/GovTechCareers.
Stay connected with us on social media at go.gov.sg/ConnectWithGovTech
How we rate this
Senior Software Engineer, Enterprise Singapore at GovTech Singapore rates 28 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- Walk me through how you've used Claude in your day-to-day work.
- What are the limits of LangGraph that you've run into, and how did you work around them?
- What's a project where you used N8n hands-on?
- Walk me through how you've used Claude Code in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, Claude, LangGraph, N8n, and Claude Code. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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