
Software Engineer, Data and Artificial Intelligence Platforms (DAIP)
Salary undisclosed
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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 Software 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
- Build prototypes to demonstrate technology opportunities
- Design system architectures
- Write production quality code, and
- Manage deployments to cloud and (occasionally) on-premise infrastructure
- Learn and share knowledge in a multi-disciplinary team.
- Establish best practices
- Share your expertise and mentor other engineers
- Help with recruiting.
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 people'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.
We work mostly in Python, JavaScript and Scala. We are looking for proficiency in at least one language and the ability to learn. Strong passion in software engineering is what matters to us.We look for people who:
- Have a demonstrated ability to build software
- Can write code to solve abstract problems
- Can think critically on how to get the code correct and cover the edge cases
- Can talk and reason about code with other engineers
- Have a demonstrated ability in writing efficient code
- Adequate exposure to cloud or on-prem production environment, and experience in deployment would be an advantage
- Understanding of devops, CI/CD would be an advantage
- Have an interest in data science and machine learning
- Take the initiative to make things happen
- Want to work for the public good
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 Software 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
- Build prototypes to demonstrate technology opportunities
- Design system architectures
- Write production quality code, and
- Manage deployments to cloud and (occasionally) on-premise infrastructure
- Learn and share knowledge in a multi-disciplinary team.
- Establish best practices
- Share your expertise and mentor other engineers
- Help with recruiting.
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 people'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.
We work mostly in Python, JavaScript and Scala. We are looking for proficiency in at least one language and the ability to learn. Strong passion in software engineering is what matters to us.We look for people who:
- Have a demonstrated ability to build software
- Can write code to solve abstract problems
- Can think critically on how to get the code correct and cover the edge cases
- Can talk and reason about code with other engineers
- Have a demonstrated ability in writing efficient code
- Adequate exposure to cloud or on-prem production environment, and experience in deployment would be an advantage
- Understanding of devops, CI/CD would be an advantage
- Have an interest in data science and machine learning
- Take the initiative to make things happen
- Want to work for the public good