Job Description:

We are actively seeking for a proficient Cloud and DevOps Engineer with expertise in AWS and Azure, coupled with strong skills in Elasticsearch, Prometheus, Grafana, and familiarity with ITIL processes. In this role, you will play a pivotal role in designing, implementing, and maintaining cloud infrastructure, ensuring smooth integration with DevOps practices, monitoring tools, and adherence to ITIL processes.

Responsibilities:

1. Design, implement, and manage cloud-based solutions primarily on AWS and Azure.

2. Work with Kubernetes, Docker, Elasticsearch, Prometheus, and Grafana to orchestrate containers, monitor applications, and visualize performance metrics.

3. Implement and adhere to ITIL processes, ensuring streamlined incident, problem, and change management.

4. Configure and maintain Elasticsearch clusters for efficient search functionality.

5. Set up Prometheus and Elasticsearch for monitoring infrastructure and applications, creating relevant alerts and dashboards

6. Develop and maintain CI/CD pipelines to automate application deployment and infrastructure provisioning.

7. Collaborate with cross-functional teams to understand project requirements and provide optimal cloud and DevOps solutions.

8. Monitor and troubleshoot cloud infrastructure to ensure high availability, reliability, and performance.

9. Implement security best practices and ensure compliance with industry standards in cloud environments.

10. Provide technical support and guidance to development teams on cloud, DevOps, and monitoring-related matters.

Qualifications:

1. Bachelor’s degree in computer science, Information Technology, or related field.

2. Proven experience in cloud operations, with a focus on AWS and Azure.

3. Strong proficiency in scripting languages (e.g., Python, Shell) for automation tasks.

4. Experience in designing and implementing CI/CD pipelines using tools like GitLab CI, or Azure DevOps.

5. Solid understanding of containerization technologies, especially Kubernetes and Docker.

6. Familiarity with infrastructure as code (IaC) tools such as Terraform or AWS CloudFormation.

7. Knowledge of networking concepts, security best practices.

8. Experience with implementing Elasticsearch SaaS, Prometheus and Grafana.

9. Understanding of the ITIL processes for process management with excellent communication skills and the ability to collaborate effectively with diverse teams.

10. Relevant certifications for AWS, Azure, Kubernetes and Terraform are a plus.

Job Description:

• Be a member of the leadership team to achieve the vision and mission of the National GaN Technology Centre (NGTC).
• Lead the Technology, Engineering and Industry team in technology road mapping and R&D pathfinding in device architecture, fabrication process technology, and MMIC design.
• Lead the Technology team, which comprises (a) characterization & modelling, (b) MMIC design, testing & model validation, (c) device failure and reliability analysis, (d) ultra high frequency GaN-on-SiC device design, layout, fabrication and characterization, and (e) low voltage GaN-on-Silicon device design, layout, fabrication and characterization.
• Coordinate with the Engineering team to develop ultra high frequency devices, ultra low voltage devices, and their MMICs.
• Coordinate with the Engineering and Operations teams to ensure timely delivery of the projects.
• Initiate and secure research grants and industry funding.
• Initiate, coordinate and manage research collaborations with IHLs and industry partners.
• Provide regular progress report of the Technology team’s activities to NGTC management.
• Represent NGTC in customer meetings.

Requirements:

• PhD in Electrical & Electronic Engineering, Materials Science and Engineering, Microelectronics Engineering, or closely related fields are welcome to apply.
• Deep understanding of GaN-HEMT device physics and GaN-based MMICs.
• At least 12 years of post-PhD hands-on experience in GaN HEMT and MMIC technology development including design, characterization (e.g. DC, small-signal and load-pull measurement), and modelling; preferably in RF GaN-on-Silicon or GaN-on-SiC technologies.
• At least 12 years of experience in leading a team of research engineers/scientists in managing multiple projects.
• Candidates with industry experience in GaN related R&D would be preferred.
• Working knowledge and hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, problem-solving methods, and in-line metrology techniques is desired.
• Possess strong leadership, project management, interpersonal and oral/written communication skills.

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.