Total 384 Information Technology job vacancies in PASIR GUDANG

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Additional job description

As a Software Engineer III in the Singapore Cloud and Third Party Security team, you will work independently to deliver on well-defined engineering milestones. You will contribute to building and scaling products that identify and secure Alphabet's public cloud and third-party environment usage. You will collaborate closely with senior engineers and cross-functional partners, leveraging this opportunity to deepen your expertise in cloud security engineering while helping establish our Singapore software engineering presence.

Qualifications

Job responsibilities

• Implement and test software features, APIs, and tools to support cloud security controls and third-party risk remediation.
• Deliver end-to-end tasks and milestones for projects with minimal assistance from more senior team members, planning and organizing your own work effectively.
• Participate in system design and architectural discussions, contributing technical perspectives and helping select appropriate approaches to address technical challenges.
• Collaborate with immediate team members and cross-functional partners to deliver on project milestones and proactively manage blockers.
• Maintain high code quality by writing comprehensive unit/integration tests, participating in code reviews, and improving documentation.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  
• 2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical fields.
• Experience building software for data privacy or security (e.g., identity and access management).
• Experience with modern software engineering practices, including unit testing, continuous integration, and code review.
• Experience in Go and Python and familiarity with public cloud platforms and basic cloud security concepts.
• Ability to learn quickly and adapt to new technologies and ambiguous problem spaces.
• Excellent communication skills and ability to collaborate effectively within a global team.

About Alphatok Alphatok is a Singapore-based B2B AI technology company focused on delivering practical, enterprise-grade AI solutions. We help enterprises and government organizations adopt AI through: AI-driven business systems (CRM, ERP, intelligent workflow platforms) AI Agents, RAG, and private LLM deployments Custom enterprise software development and long-term technical support

Job Summary

You will lead the full sales cycle to drive commercial growth for Alphatok’s B2B AI business. This role involves shaping go-to-market strategies, managing complex enterprise sales, and delivering AI-driven transformation solutions to diverse clients.

Responsibilities

Business Development & Sales

• Identify, develop, and close B2B sales opportunities with enterprises, government bodies, and mid-to-large organizations to drive revenue growth
• Sell AI software solutions, customized systems, and long-term service contracts by aligning offerings with client needs
• Translate customer business challenges into tailored, commercial AI solutions that address strategic objectives

Client & Solution Engagement

• Collaborate with technical teams to design and present AI-driven solutions that meet client requirements
• Lead client meetings, deliver solution presentations, prepare proposals, and negotiate contracts to secure deals
• Build and maintain long-term client relationships to drive contract renewals, upselling, and cross-selling opportunities

Sales Strategy & Team Building

• Contribute to the development of sales strategies, pricing models, and sales process improvements to enhance effectiveness
• Support the design and optimization of CRM and sales management workflows to improve sales operations
• Mentor junior sales or pre-sales team members, fostering their professional growth and enhancing team capabilities

Required competencies and certifications

• 3+ years of B2B sales experience in software, IT services, SaaS, or digital transformation
• Proven ability to manage enterprise-level deals with long sales cycles independently
• Strong capability to sell complex, solution-based offerings
• Demonstrated interest in AI, software, and emerging technologies

Preferred competencies and qualifications

• Background in AI, SaaS, system integration, or consulting firms
• Experience in the Singapore or Southeast Asia market
• Exposure to government, large enterprise, or regulated-industry clients
• Strong English communication skills

LBP New Products Development Support

- Cooperate with Client and Canon Japan to achieve the development of new products on both engines and cartridges

- Investigation on problems relating Client testing and conduct measurements required for development

- Conducting rework engines or cartridges when needed

- Connect and report between Client and Canon Japan, relating schedule, concept and technical issues for each program

Current Products Quality Support

- Cooperate with Client and Canon Japan to confirm the status of quality issues and to solve

- Report status to Canon Japan on urgent issues

- Connect communications between Client and Canon Japan

Market survey for New Products Development

- Conduct market research when necessary

- Cooperate with other optimal sections of canon Sg internally or other Canon group companies for each case

- Report results to Canon Japan

Job Requirement

• Minimum 20 years working experience.
• Minimum 15 years printer related R&D experience.
• At least a bachelor’s degree in engineering, or a related field is required.
• Possess good knowledge of R&D.
• Good project management skill.
• Strong organizational and leadership skill.
• Knowledge of Microsoft Word, Excel, and PowerPoint.
• Possess excellent written and verbal communication in both English & Japanese as this role will need to liaise frequently with head office in Japan.

KeyResponsibilities

• Design, deploy, and manage Red Hat OpenShift clusters (on-prem / cloud / hybrid).
• Develop, automate, and maintain cloud-native applications, platform services, and infrastructure components on OpenShift, leveraging containerization, Kubernetes, CI/CD, and DevOps practices to deliver scalable, secure, and resilient solutions.
• Install, configure, upgrade, and patch OpenShift components.
• Manage container platforms, namespaces, RBAC, networking, and storage.
• Support CI/CD integration with OpenShift (Jenkins, GitLab, Azure DevOps, etc.).
• Monitor cluster performance, capacity, and availability.
• Troubleshoot cluster, application, and infrastructure issues.
• Implement security best practices (image scanning, secrets, policies).
• Work closely with DevOps and application teams for container adoption.
• Automate platform operations using Ansible / Helm / Operators.
• Maintain documentation and operational runbooks.

Required Skills& Experience

• Strong hands-on experience with Red Hat OpenShift.
• Must have Red Hat certifications (RHCSA, RHCE, OpenShift certification).
• Solid understanding of Kubernetes, Docker, and container orchestration.
• Experience with Linux system administration.
• Knowledge of OpenShift networking (SDN/OVN), routes, services, ingress.
• Experience with persistent storage (Ceph, NFS, cloud storage).
• Familiarity with CI/CD pipelines and DevOps practices.
• Required office hours work and 24*7 Support

Who we are

You enjoy creating and innovating. You never stop striving for better. You take responsibility and you get results. You love being part of a team. Above all, you want your work to matter: Welcome to our world! At Sonova we create sense by bringing sound to life. Our innovative hearing care solutions help millions of people enjoy life’s unforgettable moments.

We offer exceptional career opportunities through market-leading brands from consumer to medical, products and services that keep pushing hearing care forward, and a culture where you can quickly belong and perform at your best.

If you want the freedom to explore, opportunities to grow, and make positive change on people lives through your work, this is the place for you.

IT System Engineer

Lead the day-to-day management of regional IT infrastructure, ensuring alignment with standards and guidelines defined by Infrastructure Engineering teams.

Provide guidance and mentorship to selected Field Services team members on Level 1 infrastructure-related topics, fostering knowledge development and operational excellence.

More about the role:

• Regional Support for IT Systems and Core Applications

• Operate, maintain and support:

o Network solutions (LAN, WAN, Wi-Fi, VPN, MPLS),

o CISCO Router, Switches, Meraki,

o MS Windows Server (2019, 2022, 2025)

o Backup Systems

• Identify, isolate and resolve issues related to IT Services

• Monitor and Optimize global IT Systems and Core Applications with IT Monitoring Tools

• Takeover of new or changed Hard- & Software into Production

• Measure and control IT Systems Utilization

• Capacity planning & hardware lifecycle

• Work on complex problems as 2nd level support tier

• Author, update and deliver detailed documentation of system level procedures, configurations and standards

• Disaster recovery planning

• Vulnerability remediation

• Perform hands-on hardware deployment, including racking, stacking, cabling, and physical troubleshooting when on-site Level 1 support is unavailable

More about you:

• Bachelor’s degree in computer science with 7 years minimum of relevant practical experience in IT System Administration

• Well-versed in network solutions (LAN, WAN, Wi-Fi, VPN, MPLS), CISCO Devices

• Experience with Microsoft technologies and in the administration of Windows Server environments (Version 2019, 2022, 2025) as well as Active Directory

• Team-Player with strong communication abilities; strong interpersonal skills with ability to work successfully in an intensely collaborative environment with a broad range of people from culturally diverse backgrounds.

More about what we offer:

As one of the world’s leading hearing care providers headquartered in Switzerland, we’re committed to building an inclusive culture. We want to create an environment where you can balance a successful career with your commitments and interests outside of work, through our flexible hybrid working model. We offer a wide range of training opportunities for both your professional and personal development, and there are exceptional growth opportunities with individual development plans.

Interested candidates, please submit your updated resume with your current and expected remuneration to Ms. Vivi, Talent Acquisition Manager at vivi.dai@sonova.com.

We are regretful that only shortlisted candidate will be contacted.

Sonova is an equal opportunity employer.

We team up. We grow talent. We collaborate with people of diverse backgrounds to win with the best team in the marketplace. We guarantee every person equal treatment in regard to employment and opportunity for employment, regardless of a candidate's ethnic or national origin, religion, sexual orientation or marital status, gender, genetic identity, age, disability or any other legally protected status.

Project Overview

The "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)" five-year project was initiated in July 2023. It is driven by the goal of investigating the nature of work, redefining our relationship with technology, and exploring how institutions can adapt to foster liveability, sustainability, innovation, and social welfare.

Successful applicants will have the opportunity to work on cutting-edge projects that aim to develop state-of-the-art AI to create future smart cities. This Postdoctoral Associate position is until June 2028 under the M3S program at SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance in Singapore.

Responsibilities

The SMART-T7 project concerns the design of human-machine systems for the scheduling and allocation of valuable resources in ways that accommodate and optimize for the needs and capabilities of both humans and machines. The project aims to solve diverse use cases in a broad set of application contexts.

The management of large-scale service and infrastructure systems—such as airport operations, urban mobility, last-mile logistics, robotic fleet management and other smart city applications—requires making tightly coupled scheduling and resource allocation decisions under significant operational complexity. These systems are characterized by high-dimensional, combinatorial decision spaces (e.g., assigning flights to gates, vehicles to multi-service tasks, lockers to dynamic demand, or robotic agents to coupled tasks), where interactions and coordination requirements between entities—such as connecting passengers, pooled service requests, customer time windows, and robotic tasks—often introduce intractable structures. At the same time, decision-makers must balance multiple, often conflicting objectives across stakeholders, including efficiency, reliability, and equity, while accounting for dynamic and stochastic demand patterns. The project addresses these challenges through a combination of advanced optimization methods (e.g., flow-based models that strengthen tractability, decomposition methods), learning-enhanced approximations (e.g., embedding-based representations of complex interactions, passenger flow estimation using generative techniques), and artificial intelligence (e.g., AI-powered digital twin simulations). Together, these approaches enable scalable, real-time decision-making in complex environments, while explicitly capturing trade-offs between operational performance and user-centric outcomes, such as passenger experience, system utilization, and service responsiveness.

The SMART-T7 team is led by Professors Alexandre Jacquillat, Jinhua Zhao, Hamsa Balakrishnan, Amedeo Odoni, and Jason Jackson from MIT, and Professor Hai Wang from Singapore Management University.

The successful candidate will work closely with Professors Alexandre Jacquillat (MIT), Hai Wang (Singapore Management University) and Bo Lin (National University of Singapore). The broad objective of the research will be to harness the power of operations research, AI, data science, and other disciplines to enhance the efficiency and effectiveness of human-machine systems. The primary application areas are smart city operations and robotic fleet management. The research will work at the interface of large-scale optimization, data-driven decision-making, the AI-optimization interface, and digital twin simulation. We invite applicants who hold or about to get a doctoral degree in Operations Research, Computer Science, Artificial Intelligence, Data Science, Industrial Engineering, or other related disciplines. We particularly welcome candidates with expertise and experience in the integration of AI and decision-making:

Key Responsibilities

• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Publish research results in top-tier journals and conferences and disseminate research findings through presentations and other means.
• Mentor graduate and undergraduate researchers involved in related projects.
• Assist with grant writing, project management, and administrative research duties.
• Perform other duties as needed. 

Requirements

• Ph.D. in Operations Research, Computer Science, Artificial Intelligence, Data Science, Industrial Engineering, or other related disciplines by the start of the appointment.
• Expertise 1: Experience with general methods in decision-making under uncertainty, including integer and combinatorial optimization, stochastic and robust optimization, dynamic programming, large-scale optimization, and simulation-based optimization; and/or
• Expertise 2: Experience with general methods in artificial intelligence and machine learning, including reinforcement learning, deep learning, generative AI, multimodal AI, and LLM.
• Experience in the integration of artificial intelligence and decision-making.
• Strong publication record in top-tier conferences and journals.
• Excellent communication and collaboration skills.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated Machine Learning Engineer to join our Model Engineering Team, focused on building, training, and improving computer vision models used in real-world systems. In this role, you will engineer models for improved accuracy, speed, and reliability, and work across experimentation, data, and production-facing ML pipelines.

You will collaborate with experienced engineers to translate research ideas and experiments into practical improvements that impact deployed systems.

You will also work with production-level machine learning systems, contributing to how models are evaluated, deployed, and monitored in real-world environments.

What You’ll Do:

Model Engineering & Training

• Assist in training, fine-tuning, and evaluating computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and video understanding.
• Contribute to model engineering efforts, including modifying architectures, adjusting backbones or heads, and tuning training strategies to improve accuracy, stability, and inference speed.
• Experiment with training techniques such as data augmentation, loss functions, optimisation methods, and learning rate scheduling.
• Explore and evaluate modern vision models, including open-vocabulary or multimodal approaches where relevant.

Research & Experimentation

• Read, discuss, and apply insights from relevant research papers, technical blogs, and internal technical documentation.
• Prototype and evaluate new models, approaches, or techniques, comparing them against established baselines through structured experiments.
• Analyse experimental outcomes and document insights on performance trade-offs, limitations, and failure modes.

Evaluation & Failure Analysis

• Analyse model performance beyond headline metrics, including long-tail behaviour, edge cases, and real-world impact.
• Debug model failures such as false positives, false negatives, or unstable predictions.
• Improve robustness through targeted data improvements, inference logic, or model adjustments.

Data & Experimentation Infrastructure

• Work with large-scale datasets, including preprocessing, augmentation, validation, and quality checks.
• Follow established workflows for dataset versioning, experiment tracking, and reproducibility.
• Write clean, maintainable experiment code and configuration-driven training setups.

Production & MLOps Exposure

• Assist with model deployment and monitoring under the guidance of senior engineers.
• Work with training, evaluation, and inference pipelines used in production.
• Apply model lifecycle practices such as versioning, retraining, validation, and rollback.
• Consider performance and efficiency constraints, including latency, GPU memory usage, and inference cost.

Minimum Requirements

• At least a degree in Computer Science, AI, Machine Learning, or a related technical field, or equivalent practical experience.
• 1 – 2+ years of relevant hands-on experience with deep learning and computer vision through professional work, research, or substantial projects.
• Proficiency in Python.
• Experience with PyTorch and/or TensorFlow.
• Familiarity with Linux environments (CLI usage, basic shell commands).

Bonus Skills

• Exposure to multimodal or open-vocabulary models.
• Experience modifying models beyond configuration-level changes (e.g. layers, heads, loss functions).
• Familiarity with experiment tracking or MLOps tools (e.g. Git, Docker, MLflow, Weights & Biases).
• Experience with model optimisation or export (e.g. ONNX, TensorRT, quantization).
• Experience working with video data or tools such as OpenCV or FFmpeg.

Personal Competencies

• Strong interest in engineering and improving machine learning models, rather than treating them as black boxes.
• Curiosity about how architecture, data, and training strategies affect real-world performance.
• Comfortable experimenting, debugging, and iterating in a collaborative engineering environment.
• Ability to take ownership of model components appropriate to experience level and project needs.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.