Total 495 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

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.

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

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.

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.

Responsibilities:

• As an Innovation and Applied-AI Engineer, you will proactively identify opportunities, experiment with new concepts, and drive them end-to-end, from ideation to real-world deployment, with a high degree of autonomy and creativity.
• You will design and build AI-driven software solutions, leveraging GenAI to enhance internal workflows and create new product capabilities, while prototyping and validating ideas through proofs of concept (POCs).
• You will continuously evaluate new AI and GenAI technologies, assessing their relevance and deciding whether to adopt, adapt, or discard them. This includes applying insights from research, experimenting with models, exploring agentic AI, and developing demo applications.
• You bring a strong software engineering foundation, with the ability to build end-to-end applications across front-end and back-end, and collaborate effectively within a distributed, multidisciplinary team in a dynamic and fast-evolving environment.

Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science (or equivalent)
• Software Engineers with electives or majors in AI/ML, deep learning, or agentic AI.
• 3-5 years of working experience is required.
• Proficiency in software development using one or more of JavaScript, Java, Swift, or Python.
• Solid background in AI/ML, with the ability to understand and apply AI theory to real-world problems, including GenAI adoption in daily practice and new product features.
• Strong analytical skills, with an interest in reading academic papers and translating research into practical, innovative solutions.
• Familiarity with full-stack development and rapid prototyping using frameworks such as Flask, FastAPI, or React.
• Familiarity with generative AI frameworks (e.g., Hugging Face, LangChain, OpenAI APIs) and agentic AI systems.
• Familiarity with cloud platforms (AWS, Azure, or GCP), CI/CD pipelines, and containerization tools.

Job description

Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Additional job description

As the Software Engineering Manager for the newly formed software engineering team within the Cloud & Third-Party Security team in Singapore, you will be a foundational lead for our new, high-impact software engineering team. You will act as a technical leader to hire and manage software engineers and work cross-functionally with stakeholders across Google to enable achieving our risk reduction goals.

Qualifications

Job responsibilities

• Build and lead a team of software engineers, combining technical leadership and people management to build scalable products that identify and remediate security gaps in Alphabet's usage of public cloud infrastructure, third-party vendors, and SaaS.
• Drive the technical roadmap to support risk reduction goals by addressing ambiguous problems, identifying future work, and ensuring technical excellence and manageable complexity.
• Oversee engineering projects, drive key architectural decisions and influence strategies across partner security and software engineering teams while building strong collaborations.
• Partner with cross-functional roles (e.g., Security Engineers, TPMs) to define requirements and implement systems that enable the rollout of controls to reduce the risk of undermanaged cloud and third-party vendor usage.
• Cultivate a high-performing engineering culture by overseeing staffing, driving professional growth through mentorship, and leading career development and performance management initiatives.
  

Minimum qualifications

• Bachelor’s degree, or equivalent practical experience.
• 8 years of experience programming in Java, Python, Golang, C++ or equivalent codebases.
• 3 years of experience building software for data privacy or security (e.g., identity and access management).
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience in a people management or team leadership role.
• Ability to present complex technical concepts to technical and non-technical audiences.
• Strong ability to partner with global stakeholders to align team goals with broader organizational objectives.
• Ability to deliver against product deliverables in ambiguous environments.
• Proven track record of managing an engineering team, with a strong background in relevant security domains, particularly in cloud infrastructure and third party security controls.

Interested applicants are invited to apply directly at theNUS Career Portal. Please note your application will only be processed if youapply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Computer-Science%29/33203-en_GB/?st=148CE054359BE2C7B80B2B9D9F4D62543197147D

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow is going to conduct research in areas of efficient AI, multimodal understanding, vision and robotics.

Only shortlisted applicants will be notified.

Job Requirements

• Ph.D. in Computer Science or a closely related field
• Excellent research skills, including data analysis, interpretation, and scientific writing
• Good publication record
• Strong communication and collaboration skills
• Ability to work independently and manage multiple tasks effectively

The Head of Payment will own performance & KPIs on all payment-related business lines in the market. The ideal candidate will be an individual who possesses strong experiences in digital payment-related industries and is able to help implement business strategies as well as execute different campaigns to achieve payment adoption and revenue goals. Drive and hunger to grow the business opportunities, high energy, can adapt to a dynamic environment and have a strong business acumen.

What you’ll be doing:

• Lead the expansion and launch of new payment solutions as well as partner management for Strategic Partners.
• Lead the top-level architecture design and capability building of core payment products, covering acquiring, transaction processing, settlement, account systems, and other key modules, creating a competitive payment product portfolio.
• Discuss and create business possibilities with potential / existing partners such as settlement system companies, banking service providers and credit card companies, etc and discuss partnerships that can contribute to the growth of various local payment markets.
• Identify suitable payment options & payment providers to enhance the new payment solutions and deliver the best payment experiences to merchants and consumers.
• Work with the team to get the in-depth understanding of the market, clarify business requirements and practice, provide constructive and insightful inputs for the development of new payment products and features that meet the specific needs for merchants.
• Collaborate closely with cross functional colleagues to determine key business terms and achieve company targets.
• Drive the development and implementation of acceptance and strategies that grow the penetration of electronic payments to drive and grow incremental processing volume on SHOPLINE’s payment solution business.

Who we are looking for:

• Bachelor’s degree or above, preferably in Computer Science, Finance, Economics, Management, or related fields.
• 10+ years of experience in payment, FinTech, or internet industries, including 5+ years in senior leadership roles with demonstrated success.
• Experience in 0-to-1 or large-scale business growth is highly preferred; deep understanding of the payment industry (especially cross-border payments) is a strong plus.
• Familiar with Payment and Banking business ecosystem, comprehensive understanding of Payment related mainstream products.
• Familiar with settlement business practices and related policies/regulations.
• Possess good understanding of payment business development practice.
• Strategic thinking, logical and well-organized, can work under pressure and dynamic environment .
• Able to Identify and source partnership opportunities and manage the relationship of payment partners.
• Previous payment experience in Payment Company and Card payment industry highly preferred.

Company Description

Zuler is a global leader in remote desktop and cloud computing technologies, specializing in ultra-low latency, high-resolution solutions with their proprietary ZeroSync® Engine. With millions of users and enterprise subscribers worldwide, Zuler is revolutionizing connectivity and accessibility to high-performance computing. The company is backed by significant investments, patents, and a diverse team of industry experts.

About the Role

We are now seeking an experienced Full Stack Engineer that is proficient with the latest AI tools to drive the design and development of the web applications for our current projects end-to-end.

Key Responsibilities:

1. Design and develop the front-end architecture of web applications, ensuring a smooth user experience and highly responsive interfaces;
2. Build high-performance, scalable server-side applications using Node.js, and design RESTful APIs and microservices architectures;
3. Utilize Python for data analysis, script development, and the creation of automation tools;
4. Leverage AI-assisted programming tools to enhance code quality and development efficiency;
5. Participate in technology selection and architecture reviews, driving continuous improvement in the team’s technical capabilities;
6. Collaborate effectively with product, design, and testing teams to ensure timely and high-quality project delivery.

Requirements:

1. Work Experience: Minimum of 5 years of full-stack development experience, with a proven track record of delivering end-to-end projects from inception to production;
2. Front-End Skills: Strong proficiency in HTML5, CSS3, and JavaScript; hands-on experience with at least one mainstream framework such as React, Vue, or Angular; familiarity with front-end engineering practices and performance optimization;
3. Back-End Skills: Deep expertise in Node.js and its ecosystem (e.g., Express, Nest.js, Koa), with experience in developing high-concurrency and distributed systems;
4. Python Skills: Proficient in Python for back-end development, data processing, or automation scripting;
5. Databases: Solid experience with databases such as MySQL, PostgreSQL, or MongoDB, including database design and optimization capabilities;
6. DevOps: Familiarity with Docker, Kubernetes, and CI/CD pipelines, with hands-on experience using cloud service platforms;
7. AI Tools: Proficient in using AI-assisted development tools, with strong prompt engineering capabilities.
8. Language Skills: Proficiency in Chinese (Mandarin) language in both verbal and written media is essential to communicate with key stakeholders and cross-functional project team members based in China.

Preferred Qualifications:

1. Contributions to open-source projects or demonstrated influence through technical blogs or developer communities;
2. Familiarity with AI/LLM application development, with practical project experience.