DevOps Engineer (GovText)
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DevOps engineer on GovText, a text-AI platform under Assurity Trusted Solutions (a GovTech subsidiary), building and maintaining on-premises and cloud infrastructure, CI/CD pipelines, and deployments for reusable AI services used across Singapore government agencies. Core stack spans AWS/Azure/GCP, OpenShift, Elasticsearch, MongoDB, PostgreSQL, and Python/Bash/JavaScript.
- Manage the development, deployment, orchestration and maintenance of application services for our products
- Providing DevOps architecture implementation and operational support
- Architecture and planning for on-premises and cloud deployments (Private and Public cloud)
- Developing and managing processes, automation, best practices, documentation
- Development and operation of continuous integration and deployment pipelines
- 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
- Excellent problem solving and methodical troubleshooting skills
- Experience with on-premise deployments, government application and networking infrastructure/routing
- Strong knowledge and experience in setup of infrastructure services e.g. Elasticsearch, Openshift, MongoDB, Postgresql
- Knowledge and experience working with air-gapped on-premise deployments would be a good plus
- Cloud computing deployment and management experience in AWS, Azure and some GCP knowledge
- Strong scripting skills e.g. Python, Bash, JavaScript
- 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. Jupyterhub
- Experience with highly scalable distributed systems
- Breadth of knowledge - OS, networking, distributed computing, cloud computing, authentication, security, monitoring services and capacity planning