Join us as we support Singapore’s vision of building a Smart Nation - a nation of possibilities empowered through info-communications technology and related engineering.

How we work:

Design for citizens — Listening to our users is the best starting point for building great solutions. To understand pain points faced by Singaporeans, we test and iterate relentlessly.

Go far, go together — Building a great product is a good start, but we usually set our sights higher. In order to make a lasting impact on how the government builds products, we partner closely with various agencies to improve capabilities across the government.

Engineer with care — We value products that last, so investing in maintainable systems and clean code is important to us. From inception to delivery, we accelerate the process with open source libraries, modern technologies, CI/CD and DevOps practices.

Inclusive products, inclusive teams — We build for everyone, and prioritise accessibility. Inclusive products start with inclusive teams. As such, we take pride in creating a supportive environment where every individual can flourish.

About The Video Analytics Team

As the Capability Center for data science and artificial intelligence, Data Science & Artificial Intelligence Division focus is in enabling data science and artificial intelligence solutions, products and capability building across the government.

We are looking for individuals passionate in delivering great digital experiences to join our team!

As part of DSAID, the Video Analytics team strive to drive scalable, impactful AI-enabled video analytics deployments for our citizens and businesses.

Learn more about DSAID from our medium blog: https: //medium.com/dsaid-govtech

As a Full Stack Engineer, you will be responsible in supporting the Video Analytics team’s software engineering efforts in the development of products and projects to enable video analytics capabilities within the government.

What you will be working on:

Develop full stack, reactive web apps that can be delivered on Cloud (AWS, GCP, MS Azure)
Work with a team of AI Engineers to write production-quality code to develop and deliver web applications on Cloud
Work closely with QA team to write tests scripts to ensure the quality of the developed applications
Follow the best practices of DevOps (CI/CD, automated test), Software Design and Secure Coding principles
Work closely with engagement and product managers to develop demos and solutions for Public Service Agency users.
Learn and share knowledge in a multi-disciplinary team

What we are looking for:

A good degree in Computer Science, Engineering with 3-8 years of full stack web app development experience
Hands-on experience with frontend technologies such as HTML5, CSS, JavaScript, AJAX, React framework
Hands-on experience with backend technologies/framework such as Python/Node.js, Flask/Express, SQL/NoSQL Database and ORM frameworks
Hands-on experience with backend API and microservice development
Hands-on experience with test automation, CI/CD and DevOps
Familiarity with containerization technologies like Docker, Docker Compose, Docker Registry
Experience/familiar with Cloud environment (AWS, GCP or MS Azure)
Experience with Serverless applications using AWS cloud native technologies such as Lambda, S3, DynamoDB and Fargate
Experience with application development using 3rd party APIs and integration
Ability to communicate technical concepts in a clear and effective manner
Ability to work comfortably in a fast-paced environment.

We are an equal opportunity employer and value diversity at our company as we believe that diversity is meaningful to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. This includes generous leave benefits to meet your work-life needs. We trust that you will get the job done wherever you are, and whatever works best for you – so work from home or take a break to exercise if you need to*. We also believe it’s important for you to keep honing your craft in the constantly-evolving tech landscape, so we provide and support a plethora of in-house and external learning and development opportunities all year round.

Subject to the nature of your job role that might require you to be onsite during fixed hours

Full Stack Engineer (Video Analytics) , Data Science & Artificial Intelligence