Total 1,283 job vacancies in Singapore

Job Summary

Reporting to senior leadership, we are seeking an experienced Software Development Manager (AI-focused) to lead our AI and software engineering teams in building, deploying, and scaling production-grade, machine learning-driven multimodal AI solutions. This role oversees the end-to-end acquisition, development, and delivery of AI-centric software systems across all organizational units, ensuring solutions are high-quality, scalable, secure, and aligned with our business innovation and AI product roadmap. You will lead technical strategy, drive engineering excellence, and manage cross-functional initiatives to deliver industry-leading AI products.

Key Responsibilities

1. Lead and manage the AI software development team on a daily basis, setting clear goals, priorities, and performance expectations.
2. Plan project timelines, allocate resources effectively, and ensure on-time, on-budget delivery of AI software solutions and product initiatives.
3. Participate in system architecture design and key technical decisions for AI/ML systems, multimodal model deployment, and distributed AI platforms.
4. Drive continuous process improvements, including scaling Agile/Scrum, DevOps, MLOps, and CI/CD practices across the engineering organization.
5. Collaborate closely with product, design, QA, data science, and research teams to align technical delivery with product and business objectives.
6. Monitor project progress, quality, and risks proactively, implementing corrective actions to mitigate issues and ensure delivery excellence.
7. Recruit, mentor, and develop high-performing team members, fostering career growth and technical excellence within the engineering organization.
8. Cultivate a high-performing, inclusive, and positive team culture that prioritizes innovation, quality, and continuous learning.
9. Oversee the acquisition and development of AI software systems across all organizational units, ensuring consistency with technical standards and security best practices.
10. Monitor the results, performance, and quality of all AI software solutions and projects implemented within the organization, driving data-driven improvements.
11. Oversee the end-to-end development of Proof-of-Concept (PoC) initiatives and AI solutions, validating technical feasibility and business value for production scaling.
12. Provide deep technical expertise on software and platform feature development for AI systems, ensuring that appropriate security, compliance, and risk factors are fully addressed in all development work.

Qualifications

1. Master’s degree or higher in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies), or a related engineering/technology faculty.
2. Experience Requirement: Minimum 5+ years of hands-on software development experience, with at least 2+ years of formal team management experience leading software engineering teams.
3. Technical Proficiency: Strong proficiency in mainstream programming languages (e.g., Python, Java, Go, C++) and modern software development tools, cloud platforms (AWS/GCP/Azure), and distributed systems.
4. AI/ML Expertise: Demonstrated experience building, deploying, and scaling AI/ML systems, large language models (LLMs), or multimodal AI solutions in a production environment.
5. System Architecture Expertise: Strong system design and architecture capabilities, with a proven track record of designing scalable, secure, and resilient AI software platforms.
6. Agile & DevOps Mastery: Deep familiarity with Agile methodologies (Scrum/Kanban), DevOps, MLOps, and CI/CD practices for enterprise software development.
7. Cross-Functional Leadership: Excellent communication, stakeholder management, and cross-functional collaboration skills to align technical and business teams.
8. Analytical & Problem-Solving Skills: Strong analytical, problem-solving, and decision-making abilities to resolve complex technical and operational challenges.
9. Preferred Qualifications: Experience with large-scale distributed systems, AI model deployment, cloud-native architectures, or enterprise AI product development is highly preferred.

Key Competencies

• Leadership and high-performing team management
• Deep technical breadth and depth in AI software development
• Results-driven, delivery-focused mindset
• Exceptional communication, coordination, and stakeholder management skills
• Strategic thinking and ability to align technical work with business goals

Job Summary

We are seeking a highly technical Platform Engineering Manager to lead the design, development, and continuous evolution of enterprise-grade cloud infrastructure, developer platforms, and large-scale distributed systems. This role will translate advanced research and technical requirements into highly scalable, reliable, and secure engineering solutions, lead a high-performing platform team, and drive the long-term technical strategy of the company’s core technology platforms.

Key Responsibilities

1. Lead, manage, and grow the platform engineering team in building, operating, and scaling cloud infrastructure, developer platforms, and mission-critical core systems.
2. Research, design, develop, test, and maintain computer systems, network software, system utilities, and platform-level components.
3. Analyze business and technical requirements, then design and implement software solutions based on computer science, engineering, and mathematical analysis principles.
4. Improve, optimize, and upgrade existing platforms to enhance system performance, stability, security, reliability, and scalability.
5. Establish and oversee software testing, validation, and quality assurance processes to ensure robust and production-ready systems.
6. Own end-to-end platform architecture design, including cloud-native, microservices, containerization, and distributed systems.
7. Drive and enforce engineering best practices including DevOps, SRE, CI/CD, infrastructure as code (IaC), and automation.
8. Monitor system health, performance, and reliability; identify bottlenecks and provide technical solutions to ensure stable and efficient operations.

Qualifications

1. PhD degree in Computer Science, Software Engineering, Electrical Engineering, or a closely related field (required).
2. 8+ years of professional experience in platform engineering, software engineering, systems engineering, or infrastructure development;
3. 3+ years of formal people management or leadership experience in a technology team.
4. Strong foundation in computer science including data structures, algorithms, operating systems, computer networks, and distributed systems.
5. Proficiency in at least one core programming language (e.g., Go, C++, Java, Python).
6. Deep expertise in system architecture, high-concurrency, high-availability, and large-scale distributed systems.
7. Hands-on experience with major cloud platforms (AWS, Azure, GCP) or hybrid/private cloud infrastructure.
8. Strong system performance tuning, troubleshooting, and problem-solving capabilities.
9. Experience in hardware-software integration is a strong advantage.
10. Excellent communication, leadership, and cross-functional collaboration skills.

Job Title: Failure Analysis Engineer

Minimum Years of Experience: Nil

Gross Salary Range: $ 3,000.00 - $4,500.00 Monthly

Qualifications: Bachelor, fresh graduate welcome, preferred with surface analysis experience (such as TOF-SIMS,  FTIR, AFM, XPS, AES, etc.).

Job Description:

•             Being able to operate analytical instruments in lab environment and conduct analysis for various customers independently;

•             Being able to prepare samples in needs and ensure the quality of the work and trouble-shoot the causes when problem occurs;

•             Being able to write analytical reports;

•             Being able to work in afternoon/evening shift or night shift if required;

•             Document new failure analysis operating procedures, training and certification specs;

•             Communicate with customer for selecting proper analytical techniques and data interpretation;

•             Participate in ISO17025 in maintaining the system

Job Requirements:

•             Bachelor or above in Material Science, Physics, analytical Chemistry or related science. Surface analysis experience (such as TOF-SIMS, FTIR, AFM, XPS, etc.) is preferred;

•             Being able to work afternoon/evening shift or night shift if required

•             Hands-on sample preparation experience for various analysis;

•             Team player with strong work ethic and able to thrive independently as well; strong problem-solving skills;

•             Strong language and reporting skills;

Role Overview

Singapore Citizens only

This role is responsible for architecting, implementing, and enhancing cloud infrastructure to ensure reliability, security, and cost optimisation. You will leverage cloud-native technologies, automate deployments, and build resilient systems with strong high availability and disaster recovery capabilities.

Key Responsibilities

• Build and manage cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform and AWS CloudFormation.
• Develop and maintain CI/CD pipelines using third-party or native cloud tools to support automated deployments.
• Monitor, analyse, and troubleshoot cloud environments to maintain performance, scalability, and system reliability.
• Apply security best practices by managing IAM policies, encryption mechanisms, and network security controls, ensuring compliance with industry standards.
• Configure and optimise cloud networking, including traffic routing and connectivity across environments.

Requirements

• Singapore Citizen only
• Degree in Computer Science, Information Technology, Engineering, or a related field.
• Minimum 5 years of experience designing and managing cloud infrastructure on AWS or similar cloud platforms.
• Strong hands-on experience with Terraform and AWS CloudFormation, with a solid understanding of infrastructure automation.
• Good knowledge of networking concepts, cloud security practices, and compliance frameworks.
• Experience in monitoring and troubleshooting cloud environments to ensure high availability and scalability.

• Support sustainability management across the company’s renewable fuels and biofuels trading activities, including annual sustainability audits, certification processes, and carbon emissions verification;
• Manage and maintain sustainability documentation in compliance with international certification schemes (e.g., ISCC) and relevant regulatory requirements;
• Participate in greenhouse gas (GHG) emissions calculation and data verification related to biofuels and feedstock supply chains;
• Work closely with internal teams and external partners to improve sustainability performance and ensure compliance across the supply chain;
• Assist traders with operational support when required, including documentation preparation, contract follow-up, and coordination with logistics and counterparties;
• Participate in technical discussions and industry exchanges to strengthen knowledge in sustainability regulations and renewable fuels markets;
• Coordinate with internal departments and support ad-hoc projects as required.

Keys to success in this role:

• Bachelor’s or Master’s degree in Engineering, Environmental Science, Sustainability, Energy, Supply Chain, Business Administration, or related disciplines;
• 1–3 years of experience in sustainability management, certification systems, or documentation operations;
• Knowledge of renewable fuels, biofuels, or feedstock sustainability regulations and certification schemes (e.g., ISCC, RED II/RED III) is preferred;
• Familiarity with greenhouse gas (GHG) accounting or sustainability reporting is an advantage.
• Strong documentation management and organizational skills;
• Able to work independently while collaborating effectively within a team; proactive and detail-oriented;
• Excellent communication and coordination skills;
• Strong command of both written and spoken Mandarin and English.

About SUTD

SUTD is the world’s first Design AI university. With Design AI, artificial intelligence is treated as a partner and a member of the team – not just a tool. As a result of this unique SUTD treatment, AI and humans brainstorm, spar and prototype together, resulting in solutions that are elevated several-fold. This human-AI team concept has been made possible because of SUTD’s unique cohort-based interdisciplinary pedagogy. As a trailblazer in the field of design and technology education and research, SUTD has been pioneering innovative programmes and initiatives since its formation 16 years ago. As part its new mid-term growth strategy called SUTD Leap, it will work closely with industry to co-create solutions in both education and research – for a better world.

What You'll Do
The Language and Social Cognition Lab at Singapore University of Technology and Design invite applications for a Research Fellow to join an interdisciplinary research project examining human-human and human-AI communication in multilingual/multicultural contexts, with a particular focus on senior adults in Singapore.  

This project examines how linguistic diversity, cultural norms, and aging shape communicative breakdowns and adaptations in interactions involving large language model (LLM)-based conversational agents. The candidate will conduct mixed-methods research, including interviews, behavioral experiments, discourse analysis of multilingual dialogue, and field user studies in local elder-care settings. The candidate will work closely with an interdisciplinary team across psychology, HCI, and AI, contributing to the evaluation of proactive AI companion agents with respect to cultural sensitivity, engagement, and usability.   

Who We're Looking For

• At least a PhD in Psychology, Cognitive Science, Human-Computer Interaction, Communication Science, or related fields.
• Strong background in psychological research methods (e.g., behavioral, experimental, interviews, mixed methods) is required.
• Experience in conducting research with senior adults, multicultural or multilingual research, and/or human-AI interaction is preferred.
• Knowledge of or willingness to work with LLM-based systems will be a strong asset.

This position is for one-year contract, with the possibility of a one-year extension subject to performance and funding availability.

Singapore Citizens only

Role Overview

We are seeking for Mid to Senior Level Full Stack Engineer.

This role focuses on building and maintaining secure development pipelines, embedding security controls throughout the software development lifecycle, and automating cloud-based deployment workflows.

Key Responsibilities

• Design and maintain CI/CD pipelines to support continuous integration and delivery.
• Implement automation for security monitoring and vulnerability remediation using scripting and security tools.
• Assess cloud environments and apply security best practices within cloud architecture.
• Partner with development teams to ensure security is integrated across all stages of the SDLC.
• Maintain compliance with established security standards and continuously improve DevSecOps processes.

What We Are Looking For:

• A degree in IT, Computer Science, Cybersecurity, Engineering, or a related discipline.
• Minimum 3+ years’ of experience in CI/CD pipeline development using tools such as GitLab CI, Jenkins, or AWS CodePipeline.
• Proficiency in cloud security practices, identity management, and compliance frameworks.
• Knowledge of scripting languages such as Python, Bash, or PowerShell for automation.
• Familiarity with security tools such as AWS Security Hub, Inspector, GuardDuty, andautomated scanning solutions

Job Purpose

Reporting to the Project Manager of Infra Management Office, the Project Coordinator will be a key member of the team to support project managers in planning, executing, and completing Infrastructure projects on time and within budget. The Project Coordinator will ensure smooth coordination between project teams, stakeholders, and external partners throughout the project lifecycle. Additionally, the project Coordinator will maintain project organization through effective documentation, scheduling, and communication management, and also track project progress and provide detailed updates to project managers and stakeholders.

Roles & Responsibilities

• Assist project managers in developing and maintaining project plans, schedules, timelines, and budgets
• Monitor daily project progress and track milestones, deliverables, and task completion
• Coordinate and schedule stakeholder meetings, prepare agendas, and document meeting minutes
• Assign tasks to team members and communicate project requirements and expectations clearly
• Manage project procurement activities including ordering supplies, equipment, and materials
• Track project expenses and manage budgets to ensure projects stay within financial limits
• Communicate project status, risks, and opportunities to project managers and stakeholders
• Identify and escalate project risks, issues, and blockers early to minimize delays
• Prepare and present project reports, presentations, and summary updates for management
• Ensure project compliance with quality standards, policies, and procedures

Qualification

• Bachelor’s degree in business administration, Project Management, or related field

Required Skills

• 3-5 years of experience in project coordination, project support, or administrative roles
• Strong organizational and time management skills with ability to manage multiple tasks simultaneously
• Excellent written and verbal communication skills
• Experience with project management software and collaboration tools
• Strong attention to detail and commitment to accuracy
• Ability to work independently with minimal supervision
• Demonstrated problem-solving and analytical skills
• Ability to work collaboratively in team-oriented environments