The Government Technology Agency Client aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do. We also develop the Smart Nation infrastructure and applications, and facilitate collaboration with citizens and businesses to co-develop technologies.
Join us as we support Singaporeâ€™s vision of building a Smart Nation – a nation of possibilities empowered through info-communications technology and related engineering.
Who we are
Client Data Science and Artificial Intelligence (DSAI) division uses technology and data to help deliver high-quality digital services to citizens and businesses in Singapore. We build software products for government agencies to better understand and use their data to improve operations and decision making.
What the role is
You will work on both small and large scale projects, building and maintaining the infrastructure behind them. We are fully aligned with the Governmentâ€™s cloud-first policy and you will bring capability to help us realize this. The role includes:
Managing the development, deployment, orchestration and maintenance of data pipelines for our Data Science products
Providing DevOps architecture implementation and operational support
Architecture and planning for cloud deployments (Private and Public cloud)
Developing and managing processes, automation, best practices, documentation
Development and operation of continuous integration and deployment pipelines.
What it is like working here
We build products that serve a variety of agency users, who use them to solve highly meaningful problems pertinent to our society, from transportation, to education, to healthcare. The public sector is full of opportunities where even the simplest software can have a big impact on peopleâ€™s lives. We are here to improve how we live as a society through what we can offer as a government.
Rapid Prototyping – Instead of spending too much time debating ideas we prefer testing them. This identifies potential problems quickly, and more importantly, conveys what is possible to others easily.
Reliable Productization – To scale an idea, a prototype or a Minimum Viable Product to a software product, we scrutinize and commit to its usability, reliability, scalability and maintainability.
Ownership – In addition to technical responsibilities, this means having ideas on how things should be done and taking responsibility for seeing them through. Building something that you believe in is the best way to build something good.
Continuous Learning – Working on new ideas often means not fully understanding what you are working on. Taking time to learn new architectures, frameworks, technologies, and even languages is not just encouraged but essential.
As we often deal with big data and computing requirements, you are also able to take a long-term strategic view of the platforms you work on, and help provide this perspective to the team. To do so, you will:
Effectively prioritize and execute tasks in a high-pressure environment
Develop and maintain internal engineering productivity tools and environments
Perform independent research into product and environment issues as required
Monitoring automation to effectively detect/predict/prevent issues in the environment and code base
Future-proofing the technical environments and ensuring extreme high levels of automation, availability, scalability and resilience
Hands-on coding and mentoring, working in highly collaborative teams and building quality environments
Have knowledge in and/or continuously learn lots of different open source technologies and configurations
What we are looking for
The customers for our products are normally agency users, which means that breadth of knowledge in government IT infrastructure and experience in government networks will help. Since our direction is cloud-first, you will likely have some experience in patch/update scheduling, and knowledge of security incident response procedures. A disciplined approach and strong problem-solving instincts are fundamental to succeed. Your aptitude for completing the tasks and attitude to continuous learning are more valued than any formal certification. To succeed, you will need to possess some of the following:
Excellent problem solving and methodical troubleshooting skills
Strong knowledge and experience in DevOps automation, containerization and orchestration using tools eg. Ansible, Airflow, Docker, Kubernetes, Terraform, Artifactory/Nexus Sonatype
Cloud computing deployment and management experience in AWS, GCP
Strong understanding of Apache Spark/Flink, Hadoop, distributed file systems and resource scaling/scheduling, streaming message queues (RabbitMQ, Kafka)
Strong understanding of virtualization and networking concepts
Experience with patch maintenance, regression testing and security incident response
Experience with interactive workloads, machine learning toolkits and how they integrate with cloud computing e.g. Databricks, KX
Experience with highly scalable distributed systems
Experience with on-premise deployments, government application and networking infrastructure/routing
Breadth of knowledge – OS, networking, distributed computing, cloud computing