Kerja Sepenuh Masa Technical Lead, Gaji tinggi SGD 9,000 di SINGAPORE MARITIME INSTITUTE West Region (Singapore) - Maukerja

Job Purpose

The Technical Lead will drive the architectural evolution, technical strategy, and engineering execution of Singapore’s Maritime Digital Twin (MDT). As the platform transitions into a next-generation Maritime Geospatial Reasoning Platform, the incumbent will lead a high-performing technical squad to deliver real-time, high-fidelity data aggregation, predictive layers, and deep-tech AI integration. The role sits at the intersection of cutting-edge technology and national maritime infrastructure, transforming raw industry data into mission-critical operational intelligence.

Key Responsibilities
A. System Architecture & Technical Leadership

• Platform Evolution: Formulate and execute the technical roadmap to scale the MDT data architecture, transitioning from a data aggregation platform to an intelligent, predictive geospatial reasoning platform.

• Data Fusion & Streaming: Design and implement robust architectures capable of ingestion, normalization, and low-latency processing of massive, multi-sensor maritime data streams.

• Technical Governance: Serve as the final technical authority for the platform, ensuring code quality, scalable design patterns, and rigorous system documentation.

B. Advanced Technology & AI Integration

• Predictive Layer Development: Oversee the deployment of advanced AI modules for complex environmental and hydrodynamic simulations

• LLM Workflows: Integrate Multi-modal Large Language Models (LLMs) and automated workflows to assist in decision-support tooling for port operations.

C. Ecosystem Development & API Standardization

• Drive the development of a secure, "Plug-and-Play" common data infrastructure framework and AI Sandbox.

• Design standardized communication protocols (MQTT, AMQP, RESTful APIs) and developer playbooks to allow research partners, institutions, and maritime startups to securely build capabilities on top of the MDT infrastructure.

D. Security, Compliance & Infrastructure

• Oversee infrastructure security and deployment lifecycles by partnering with MPA and government-wide cybersecurity teams to execute robust hardening strategies, including regular penetration testing and vulnerability assessments.

• Manage containerized deployments across hybrid cloud environments utilizing Docker, Kubernetes, and automated CI/CD pipelines to ensure continuous delivery and operational resilience.

E. Stakeholder & Squad Management

• Lead and mentor a group of multi-domain specialised engineers. Collaborate closely with key internal and external ecosystem stakeholders to implement prioritised use cases

JOB REQUIREMENTS

• Background in Computer Science, Software Engineering, Data Engineering, Artificial Intelligence, or a closely related technical field. Advanced degree or equivalent industry experience in Geospatial Science or Machine Learning is highly advantageous.

• Software Engineering: Minimum of 10 years of experience in technical leadership, systems design architecture, or leading core engineering teams for enterprise-grade distributed systems.

• Data Engineerin g: Proven track record in building complex data pipelines, multi-sensor data fusion networks, and real-time streaming architectures (e.g., Kafka, Flink, Spark).

• AI/ML Expertise: Strong hands-on experience deploying machine learning models in production environments. Deep familiarity with GeoAI, spatial reasoning tools (GIS, ArcGIS), or PhysicsAI frameworks is highly desirable.

• Protocols & DevOps: Deep proficiency in containerization (Docker, Kubernetes) and standardized messaging protocols (REST, MQTT, WebSockets, AMQP).

• Strategic Agility: Ability to balance immediate technical delivery with the long-term 2031 strategic vision of public-sector infrastructure commercialization.

• Influence & Collaboration: Excellent communication skills to bridge the gap between deep-tech engineering and high-level strategic/regulatory requirements.

• Problem-Solving: Strong entrepreneurial mindset with a knack for navigating ambiguous environments and unblocking critical technical dependencies.

Preferred Qualifications

• Experience with Unity or similar real-time 3D development environments is advantageous. Familiarity with concepts such as scene management, asset optimisation, or simulation workflows will help you better support the team and engage meaningfully with technical decisions around the visualisation and modelling components of the platform.

Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent appointment

The Singapore Maritime Institute (SMI) is a joint effort by the Maritime and Port Authority of Singapore (MPA), the Agency for Science, Technology and Research (A*STAR) and the Economic Development Board (EDB) in partnership with local Institutes of Higher Learning (IHLs) and reflects Singapore’s continued commitment to the maritime and offshore industry. The SMI develops strategies and programmes related to the academic, policy and R&D aspects of the industry. Key focus areas of the SMI include sectors such as port, shipping, maritime services, offshore and marine engineering, subsea and downhole.

The SMI charts the maritime and offshore research strategy together with the various maritime institutes at the local IHLs. Working together with knowledge partners to attract renowned academia and researchers, the grooming of the next generation local maritime talent are critical components towards a sustainable R&D ecosystem in Singapore. The SMI also promotes greater industry-academia R&D collaborations to be undertaken in Singapore.

As a whole-of-Government approach, the agencies have committed to fund initiatives through the SMI. The formation of the SMI will strengthen Singapore’s research manpower and capabilities as a global maritime knowledge hub to enhance the overall positioning and competitiveness of the maritime and offshore industry.