Simulate Customer Environments: Utilize our specialized onsite support laboratory to recreate customer scenarios, test instrument performance, and validate technical solutions
Facilitate Knowledge Sharing: Utilize AI-driven knowledge management tools to create self-fix materials, support software/hardware updates, and deliver technical discussions for customers and internal teams
Collaborate in Agile Networks: Participate in local and regional service projects within the hub, collaborating cross-functionally to improve service delivery and strengthen long-term customer trust
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You prepare and review specifications and calculations for static quotes and deliveries.
You provide and review material lists for quotations for the Sales and Operations team, for shipments to the site.
You participate in staff training programs ensuring continuous training is provided in calculations, formwork, product knowledge, computer systems/software applications, etc.
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Liaise with internal teams and external stakeholders (consultants, contractors, suppliers, and authorities such as TNB, ST, and SEDA) to ensure smooth project execution.
Monitor project progress, performance, risks, and quality, while managing issues, contractual matters, and ensuring compliance with HSE and QA/QC standards.
Prepare project reports, support regulatory submissions, lead meetings, assist in testing and commissioning, and drive continuous improvement within the project team.
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Deep expertise in modern Java (17+) including concurrency, multithreading, reactive programming, build tools (Gradle/Maven lifecycle), and design principles (SOLID), with experience in performance tuning, JVM optimization and troubleshooting.
Proven hands-on experience with Spring Boot ecosystem (Security, WebFlux, Data/MyBatis), strong understanding of Spring internals (beans, AOP, request handling, serialization), and API design using REST and OpenAPI.
Strong experience designing and operating microservices on AWS using ECS, DynamoDB and Aurora, with solid knowledge of event-driven systems and services such as SQS, SNS, EventBus and Lambdas, combined with CI/CD and infrastructure-as-code practices.
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Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
Bachelor’s degree or above, with 5-8 years in software development and relevant experience in leading AI/ML development project
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Ensure that there are robust arrangements to carry out the site supervision and contract management functions on site, including:
Ensure there are robust processes in place to manage staff availability and rosters, with appropriate staff available to manage the contractors’ compliance with their contracts.
Ensure contact management staff process routine progress claims.
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