DevOps Engineer, Data and Artificial Intelligence Platforms (DAIP)

at  GVT Government Technology Agency GovTech

The Government Technology Agency (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. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions.
GovTech 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.
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.

WHO WE ARE

The mission of GovTech’s Data and Artificial Intelligence Platforms team is to deliver high-quality reusable Data and AI assets and services for policy making, service delivery and operations across WOG.

WHAT THE PRODUCTS ARE

We are seeking a Devops Engineer to join our Data and Artificial Intelligence Platforms (DAIP) team. The existing Government Data Architecture (GDA), launched in 2019, laid the groundwork for WOG data sharing via TCs, SSOTs and central platforms. As the data technology landscape is rapidly evolving and data/system requirements are becoming increasingly complex and interconnected, to better support agencies, the next phase of GDA (i.e. GDA 2.0) aims to consolidate, streamline, and elevate the products and initiatives within the WOG data landscape – this includes the development of the following products.

• DataHive as the next-gen WOG Data Discovery & Request Platform to cater to a wider range of WOG requirements and use cases. DataHive has been further enhanced to support both data requestors and providers as follows. 1) Data requestors/consumers will experience a streamlined data search and request process, with options to access data via curated APIs and through an analytics workbench. 2) Data providers can expect more flexibility and control in the management of datasets on the platform itself.
• Data products that compute and serve derived data for ops and service delivery for multiple agencies. By adopting the “Build Once, Use Many Times” approach for such data products, the intent is to achieve the benefit of cost-savings, better data quality and improving time-to-market for new services.
• Fraud Detection Platform (FDP). FDP is a central platform for Grant Fraud Insights. It draws data from TC Business & Individual, combines it as a graph and generates insights on businesses and individuals for government grant, procurement and finance due diligence checks and audits.

You will work on both small and large scale projects, building and maintaining the infrastructure behind them. We are fully aligned with the Government’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

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 scripting skills e.g. Python, Bash, JavaScript, Scala, Rust, Go
• 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 computin