Total 7,998 Information Technology job vacancies

Responsibilities:

- Contributing to the business development team for the growth of cyber-security businesses in Singapore and the APAC region.
- S/He is expected to possess keen eye to spot opportunities and able to execute quickly on tasks given.
- S/He should be able to do consultative sales either independently or by leveraging available and accessible technical resources to develop new businesses.
- Cold calling, Emailing, Road shows, events and other corporate means to secure new business

Requirements:

- Diploma/Degree in Cybersecurity, Computer Science, Business Management, Business Administration, or a related field.
- Minimum 1 to 3 years of experience in business development, sales or client relationship management, preferably in a corporate or customer-facing environment.
- Ability to adapt quickly and able to embrace potentially steep learning curve.
- Possess an innovative and open mind-set especially in the creation of viable partnerships and new markets with radically differentiated propositions.
- A well-natured, result-oriented, self-motivating, self-driven team player.
- Sensitive to numbers and good with various tools like Microsoft Excel, Word and PowerPoint.
- Ability to work independently and execute the tasks given efficiently.
- Fresh graduates with relevant qualifications or internship experience are also welcome to apply.


Interested and suitable candidate kindly click quick apply. Resume will be forwarded to Stepfan Soon Yit

We regret that only suitable candidate will be notified.

GEMS Recruit/EA License : 23C1459

EA Personnel No : R24120893 (Stepfan Soon Yit)

Work with a team that believes in growth, mentorship, and celebrating wins together.

We are looking for enthusiastic individuals to join our sales and marketing team and grow alongside a group of motivated professionals.

This entry-level position offers an opportunity to gain practical experience while developing valuable skills in communication, customer engagement, and campaign execution.

You will work closely with a supportive team and mentors who will guide you through the fundamentals of marketing, sales strategy, and client representation.

What You’ll Be Doing

• Plan and Execute Marketing Campaigns; Optimising and Driving real results
• Lead Marketing Teams with Example; Deliver Excellence as a whole
• The Voice of our Clients; Create meaningful customer engagement experiences
• Develop Communication, Confidence, Leadership Skills and Talent Management

What’s in It for You

Work with a team that believes in growth, mentorship, and celebrating wins together.

We are looking for enthusiastic individuals to join our sales and marketing team and grow alongside a group of motivated professionals.

This entry-level position offers an opportunity to gain practical experience while developing valuable skills in communication, customer engagement, and campaign execution.

You will work closely with a supportive team and mentors who will guide you through the fundamentals of marketing, sales strategy, and client representation.

What You’ll Be Doing

• Plan and Execute Marketing Campaigns; Optimising and Driving real results
• Lead Marketing Teams with Example; Deliver Excellence as a whole
• The Voice of our Clients; Create meaningful customer engagement experiences
• Develop Communication, Confidence, Leadership Skills and Talent Management

What’s in It for You

Job Summary:

The Lead Technical Manager will be responsible for managing a group of Technical Officer for security equipment installation, testing, commissioning and system programming in accordance to required standards.

Job Responsibilities:

• Oversee the whole process of service cum maintenance workflow.
• Front line contact with client representatives on all service/maintenance related issues.
• Lead a team of service team members.
• Prepare service scope and develop service plans, define resource loading, skill requirements, tracking milestones and metrics.
• Determine new, creative ways to employ teams on service deliveries and distribute responsibilities.
• Manage day-to-day client interactions and expectations for optimal results
• Continually seek and capitalize upon opportunities to increase customer satisfaction and deepen client relationships.
• Possess a knowledge base of each client's business, organization and objectives.
• Be responsible for operationally managing multiple aspects of the team.
• Must be a team player.
• Ensure smooth progress and timely delivery and completion of maintenance commitments to clients
• Perform a wide variety of technical and non-technical tasks.
• Enhance current documentation of all infrastructure components and operation processes.
• Track and identify the new opportunities to improve our methodology and training offerings.
• Build technical relationship with prospects or existing/new customers.
• Sets targets, implement guidelines, and assists with any issues the team member may have.
• Communicates effectively with clients to identify needs and evaluate alternative technical solutions and strategies.
• Handle customer complains.
• Participate in all programs and enforces all policies relating to performance evaluations and career development planning.
• All other duties as assigned by management.

Job Requirements:

• Minimum 6 years related experience with demonstrable record of success
• Good communicator with excellent coordination skills
• Ability to work with multiple discipline projects
• Committed individual with great initiative and strong problem-solving skills
• Diploma or Degree in Electrical / Mechanical Engineering/Computer Science or its equivalents
• Possess good leadership and organizing abilities
• Experience in the Security and CCTV industry and exposure to products and operations will be an added advantage

Site Digital Shopfloor System Support (IT infrastructure/ MES/ Pharma)

12 Months Contract

Location: Tuas

Up to $10,000 depending on experience

Industry: Pharmaceutical

Our client aims at creating a new manufacturing concept consisting of a new generation of evolutive multi-product facilities, modular, adaptable, and agile, leveraging new disruptive technologies, to better address vaccine business challenges.

Job Purpose

• For the delivery and improvement of digital solutions by providing project management and solutions expertise to business users

Responsibilities:

• Shopfloor system Lifecycle management (MES, Historian, system integration)
• Shopfloor system support improvement
• IT-OT systems integration support 
• Application management and governance

Requirements:

• Project management, Process management and Problem solving; Incident management, change management
• Expertise on the solutions in shopfloor domain:MESERPData HistorianIIoT platform, plant connectivity
• Knowledge on system architecture.
• Knowledge on Quality process such as GxP qualification
• Business environment:  Pharma industry – Vaccines, Biologic products, Manufacturing Environment, GxP compliance.

Lim Pey Chyi - Apple.lim@manpower.com.sg

Recruitment Consultant (R2090579)

Manpower Staffing Services (S) Pte Ltd

EA Licence: 02C3423

JOB DESCRIPTION

· Design and program automated test scenarios according to test plan with its acceptance criteria

· Manage and maintain end to end automated test framework such as prepare test environment, test data, update functional testing scripts in accordance with changing requirements

· Work with QC project leader to identify, propose, prioritize and implement test automations.

· Work with test engineers to troubleshoot observed issue, determine root cause and identify solutions

· Contribute towards continuous improvement of testing practices/tools to improve test strategy and efficiency

· Help to ensure every release happens in a timely manner with a high level of quality.

JOB REQUIREMENTS

•Bachelor’s/ master’s degree in computer science, Software Engineering or other equivalent degrees/experience.

•Strong python scripting skill and C++ programming background.

•Good written and verbal communication skills in Mandarin would be advantage to assist and communicate with Mandarin speaking associates/clients.

•Able to work well both independently as well as in a team.

As a Senior Data Engineer, you will be working on:

• Translate data requirements from business users into technical specifications.

• Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.

• Build out data product as part of a data team:

• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.

• Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;

• Construct, test, and update useful and reusable data models based on data needs of end users.

• Design and build secure mechanisms for end users and systems to access data in data warehouse.

• Research, propose and develop new technologies and processes to improve agency data infrastructure.

• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures. • Maintain data catalogue to document data assets, metadata and lineage.

• Implement data quality checks and validation processes to ensure data accuracy and consistency.

• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

What we are looking for:

• A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.

• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.

• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

• Experience with Databricks.

• Experience in designing, building, and maintaining batch and real-time data pipelines.

• Experience with orchestration frameworks such as Airflow, Azure Data Factory.

• Proficiency in working with Python, Shell Scripts, and SQL.

Preferred requirements:

• Familiarity with building and using CI/CD pipelines.

• Familiarity with DevOps tools such as Docker, Git, Terraform.

• Experience with implementing technical processes to enforce data security, data quality, and data governance.

• Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

• Experience in Climate and Weather domains will be an advantage.

We are seeking a visionary and execution-focused Chief Technology Officer (CTO) to spearhead our technological roadmap, lead our engineering organization, and align our technology strategy with our overarching business objectives. As a key member of the executive leadership team, you will scale our infrastructure, cultivate a high-performing engineering culture, and drive technical innovation.Key Responsibilities:

- Formulate and execute the long-term technology strategy, architecture, and roadmap aligned with the company’s business growth.

- Lead, mentor, and scale a team of engineering managers, software engineers, devops professionals and designers

- Oversee the end-to-end design, development, and deployment of scalable, secure, and highly resilient software systems and platforms.

- Establish best practices for software development, code quality, testing, CI/CD pipelines, and agile methodologies.

- Define and enforce rigorous cybersecurity frameworks, data privacy compliance, and IT governance policies across all systems.

- Manage the overall technology budget, including infrastructure costs (AWS/GCP), third-party vendor management, and talent acquisition.

- Evaluate emerging technologies (e.g., AI/ML, distributed systems) to identify opportunities for competitive differentiation.

- Collaborate closely with leaderhsip, Product Management, and business stakeholders to translate market needs into technical solutions.

You will be a key technology partner supporting strategic projects, working closely with Solution Architects, Project Managers, and Technical Leads to design, develop, test, and deploy system and network infrastructure as part of large-scale project implementations.

Key Responsibilities:

• Collaborate with engineers, project teams, and customers to deliver project objectives.
• Design, develop, test, and debug system software and infrastructure solutions.
• Identify technical risks and propose scalable, long-term solutions.
• Create and manage reusable components to improve efficiency.
• Review code and architecture, and drive best practices in design and development.
• Lead technical teams and provide mentorship.
• Stay current with industry trends and emerging technologies.

Requirements:

• Minimum 5 years of relevant experience in software or system engineering.
• Strong full-stack development and software engineering fundamentals.
• At least 3 years of hands-on experience with Agile methodologies.
• Experience across the full SDLC (design, development, testing).
• Knowledge of DevSecOps and CI/CD practices.
• Proficiency in at least one core language: Java, JavaScript, Python, C#, or C++.
• Experience with modern frameworks such as Node.js, React, TypeScript, Spring Boot, Angular, Vue, Next.js, Express, or FastAPI.
• Strong experience with SQL/NoSQL databases (e.g. MSSQL, PostgreSQL, MongoDB).
• Excellent communication, problem-solving, and leadership skills.

Location: Islandwide locations

(EA Reg No: 20C0312)
Please email a copy of your detailed resume to qianyu@talentsis.com.sg for immediate processing.
Only shortlisted candidates will be notified.

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies.

CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond.

As part of this programme, Cluster 5 Climate and finance markets will measure and price climate risk in financial markets, design innovative risk financing solutions to climate change, and quantify economic impact of climate policies.

The Research Fellow will be based in the Nanyang Business School and will contribute to interdisciplinary research under Cluster 5, with a particular emphasis on empirical analysis, AI-enabled data construction, and policy-relevant research outputs.

Duties and Responsibilities:

• Design, develop, and execute empirical research projects related to climate risk, financial markets, and climate policy, in alignment with the objectives of Cluster 5: Climate and Finance Markets under the Climate Transformation Programme.

• Construct, clean, and analyze large-scale datasets combining financial, environmental, and policy information, including both structured and unstructured data sources.

• Apply artificial intelligence and large language model (LLM) tools to extract, structure, and analyze information from unstructured sources such as corporate disclosures, regulatory filings, policy documents, and project-level reports.

• Develop and maintain retrieval-augmented generation (RAG) pipelines and related AI-enabled research workflows to support dataset construction, empirical analysis, and evidence synthesis.

• Implement rigorous empirical and quantitative methods to measure and price climate-related risks in financial markets and to assess the economic and financial impacts of climate policies.

• Contribute to the preparation of academic manuscripts for submission to leading peer-reviewed journals, as well as policy-oriented reports and research outputs.

• Collaborate closely with faculty investigators, research staff, and interdisciplinary partners across the University and with external collaborators.

• Support project coordination activities, including documentation of research workflows, version control of code and data, and supervision or mentoring of research assistants where appropriate.

Key Competency and Qualifications Requirements:

• PhD (or PhD near completion) in Computer Science, Finance, Economics, or a related quantitative discipline.

• Strong training in quantitative, empirical, or computational research methods.

• Experience working with large-scale datasets, including unstructured text data.

• Familiarity with AI and large language model (LLM) tools; experience with retrieval-augmented generation (RAG) frameworks is an advantage.

• Strong programming skills (e.g., Python, R, or similar).

Interested applicants are invited to submit a full CV and cover letter in one document. Enquiries about this position can be made to Asst Prof Chen Zhimin.

We regret that only shortlisted candidates will be notified.

Work with a team that believes in growth, mentorship, and celebrating wins together.

We are looking for enthusiastic individuals to join our sales and marketing team and grow alongside a group of motivated professionals.

This entry-level position offers an opportunity to gain practical experience while developing valuable skills in communication, customer engagement, and campaign execution.

You will work closely with a supportive team and mentors who will guide you through the fundamentals of marketing, sales strategy, and client representation.

What You’ll Be Doing

• Plan and Execute Marketing Campaigns; Optimising and Driving real results
• Lead Marketing Teams with Example; Deliver Excellence as a whole
• The Voice of our Clients; Create meaningful customer engagement experiences
• Develop Communication, Confidence, Leadership Skills and Talent Management

What’s in It for You

Work with a team that believes in growth, mentorship, and celebrating wins together.

We are looking for enthusiastic individuals to join our sales and marketing team and grow alongside a group of motivated professionals.

This entry-level position offers an opportunity to gain practical experience while developing valuable skills in communication, customer engagement, and campaign execution.

You will work closely with a supportive team and mentors who will guide you through the fundamentals of marketing, sales strategy, and client representation.

What You’ll Be Doing

• Plan and Execute Marketing Campaigns; Optimising and Driving real results
• Lead Marketing Teams with Example; Deliver Excellence as a whole
• The Voice of our Clients; Create meaningful customer engagement experiences
• Develop Communication, Confidence, Leadership Skills and Talent Management

What’s in It for You

• Evaluate, assess, and recommend emerging networking technologies by conducting Proof of Concepts (PoCs) and technical evaluations to determine their suitability for enterprise banking environments, with a strong focus on scalability, resiliency, security, and regulatory compliance.
• Serve as the Subject Matter Expert (SME) for enterprise network architecture, leading end-to-end solution design, planning, implementation, and validation across mission-critical environments.
• Design, implement, and support network and security solutions, including LAN, SD-WAN, SASE, firewalls, load balancers, network automation, and observability platforms across data center and branch infrastructures throughout the APAC region.
• Architect and manage advanced data center networking solutions, including Spine-Leaf architectures, VXLAN/EVPN fabrics, multi-site interconnectivity, and highly available network designs that support business continuity and disaster recovery requirements.
• Provide deep technical expertise in routing, switching, and transport technologies, including BGP, OSPF, IS-IS, MPLS, Segment Routing, VRFs, QoS, network virtualization, multi-tenancy, and Zero Trust segmentation strategies at both macro and micro levels.
• Develop and maintain architecture standards, technical documentation, High-Level Designs (HLDs), Low-Level Designs (LLDs), implementation guides, operational runbooks, and network governance frameworks.
• Conduct architecture reviews, risk assessments, performance audits, and compliance evaluations, delivering recommendations to enhance network performance, security posture, and alignment with enterprise standards.
• Present technical solutions and infrastructure strategies to both technical and management stakeholders, ensuring alignment with organizational objectives, security policies, and regulatory requirements.
• Provide technical leadership and escalation support during major incidents, complex troubleshooting scenarios, and critical infrastructure changes, driving corrective and preventive actions when necessary.
• Collaborate closely with cross-functional teams, including Infrastructure, Security, Middleware, End User Computing, Project Management, and Application teams, to design, deploy, and troubleshoot integrated technology solutions.
• Partner with regional and country IT teams across APAC to review network architectures, resolve complex technical issues, and drive infrastructure modernization initiatives.
• Coordinate with external vendors and service providers to ensure successful project delivery and adherence to agreed service levels and contractual obligations.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Minimum 7 years of hands-on experience in designing, implementing, and managing large-scale enterprise network and security infrastructures.
• Minimum 3 years of experience in the design and deployment of SASE, Cisco SD-WAN, Network Automation, and Network Observability solutions within large enterprise environments.
• Strong technical expertise in enterprise and data center networking, including architecture, implementation, and operational support.
• Proven experience designing and implementing highly available, multi-tier data center network infrastructures.
• Hands-on proficiency with networking and security technologies from Cisco, F5, Check Point, Fortinet, and Palo Alto Networks.
• Experience with multi-vendor network automation and observability platforms.
• Demonstrated technical leadership with the ability to drive end-to-end solution delivery across complex projects and programs.
• Excellent written, verbal, and presentation skills, with the ability to effectively communicate technical concepts to both engineering teams and senior leadership.
• Professional certifications such as CCIE (Enterprise Infrastructure, Security, or DevNet), CCDE, or CCNP are highly desirable.
• Prior experience within banking, financial services, or other highly regulated industries is advantageous.
• Knowledge of IT Service Management (ITSM) frameworks and operational best practices is preferred.
• Familiarity with regional regulatory and compliance requirements, including MAS, RBI, BOT, and other relevant financial industry standards.

To apply, please visit www.gmprecruit.com and search for Job Reference: 934WXVWY

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

about company

I am currently working with a prominent public sector technology organization.

Salary structure: Base + bonus. Hybrid working arrangement. 3-4 rounds of interview to offer.

about job (multiple openings for Senior and Staff level)

• End-to-end software development, and lifecycle to achieve project goals to the required level of quality; promote team engagement and motivation.
• Hands-on technical and functional input to design, maintenance, build, integration and testing of complex software components according to functional and technical design specifications.
• Drive adoption of relevant, up-to-date technologies, practices and tools in Agile software projects
• Analyze and provide input for the requirements and provide impact assessment for new features or bug fixes. Make high-level design and establish technical standards.

skills and requirements

• Minimum 8 years of relevant working experience
• Experience in modern web application technologies (e.g. Java, Python, Golang, NodeJS)
• Experience architecting and developing solutions to ambiguous problems
• Experience in Agile software development

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

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.