Full Stack Infrastructure Developer
The candidate will be part of the team developing a federated computational infrastructure for multi-domain modelling and simulation. The candidate will focus on integrating modelling and simulation tools with a distributed computational backend to serve the diverse needs of the multi-disciplinary research team and the project stakeholders, including scientific experimentation, modelling and simulation, and the federation of a system-of-systems to address complex policy issues for governmental agencies and affiliated organisations.
The responsibilities include but are not limited to:
- Design a system architecture for the infrastructure.
- Strategise and execute a phased deployment plan for the infrastructure.
- Develop integration capabilities (e.g., APIs, microservices) to connect system components.
- Set up and optimise database and storage systems to support compute-heavy workloads.
- Set up a workflow management system to submit jobs onto a distributed computing cluster.
- Adapt simulation models and AI/ML flows into reusable workflow tasks.
- Package models and pipelines into exportable workflows (e.g., Argo flow, Airflow).
- Deploy full-stack solutions onto on-premises, cloud, or hybrid deployments.
- Automate infrastructure and code management with CI/CD (e.g., Jenkins).
- Implement information security schemes to control and monitor access.
- Construct test cases to ensure correctness, robustness, scalability, and security of the platform.
- Contribute to open-source development for selected system components.
- Support other development activities (e.g., simulation integration, machine learning, frontend).
Education and experience requirements:
- Bachelor's or Master's degree in computer science, software engineering, or related fields.
- Minimum of two years of experience in full stack development, data science, or systems engineering.
Technical skills:
- Strong proficiency in a wide range of programming languages, including Python, Java, JavaScript, and C++.
- Strong experience with containerization and orchestration technologies, such as Docker and Kubernetes.
- Strong proficiency with continuous integration and continuous deployment (CI/CD) pipelines.
- Experience with infrastructure as code (IAC) tools (e.g., Ansible, Terraform).
- Experience with database management systems, such as SQL and NoSQL databases.
- Experience in system administration, including Linux server management.
- Experience with version control systems (e.g., Git).
- Familiarity with cloud computing platforms (e.g., AWS, Azure, or Google Cloud).
- Understanding of networking and security best practices.
Soft skills:
- Excellent communication skills to collaborate with interdisciplinary teams.
- Strong problem-solving and critical thinking abilities.
- Strong project management and time management skills.
- Strong capacity for self-motivation, independence, and initiative to take ownership and complete tasks without constant supervision.
- Adaptability to work in a fast-paced, dynamic research environment.
The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.
