691 Technology jobs in Bedok

Assurity Trusted Solutions (ATS) is a wholly owned subsidiary of the Government Technology Agency (GovTech). As a Trusted Partner over the last decade, ATS offers a comprehensive suite of products and services ranging from infrastructure and operational services, authentication services, governance and assurance services as well as managed processes. In a dynamic digital and cyber landscape, where trust & collaboration are key, ATS continues to drive mutually beneficial business outcomes through collaboration with GovTech, government agencies and commercial partners to mitigate cyber risks and bolster security postures.

We are looking for an experienced IT Audit Manager to join us

A senior position may be offered, subject to the candidate's years of experience and performance in the interview assessment.

A brief summary of your job responsibility:

• Develop and customise audit programmes/security audit checklists to assess the design and operating effectiveness of internal controls in mitigating IT risks.
• Lead, plan, develop and conduct annual policy compliance and process audits, and technical audits on critical systems and infrastructure.
• Manage agency interactions, including briefings, conduct of audit fieldwork, management responses, and follow-up actions to ensure on-time and on-target execution of audit plans.
• Review audit findings and assess agencies' and Whole-of-Government overall state of ICT governance and risks.
• Formulate mitigation plans to improve the state of overall ICT governance.
• Work with multiple agencies at the working and management levels to assess the current situation and identify recommendations to address the gaps.
• Monitor and validate audit findings to ensure control remediation is effective and root causes have been addressed.
• Plan, source, and actively manage outsourced augmentation of internal capability, to deliver the committed deliverables.
• Perform ICT&SS audits of Government agencies determined by the Audit and Compliance Division of GovTech;
• Perform In-depth audit of Government agencies' ICT&SS processes/applications/supporting infrastructure and systems
• Perform follow-up audit (FUPA) of past audit findings of Government agencies determined by ACD; import audit findings into the central repository.
• Perform any other related services which may be required by IA to carry out the ICT&SS audit.

Requirements

• With at least 6 years of working experience with a solid record in IT Audit
• Prior experiences in leading an end-to-end IT Audit.
• Strong security background (understanding risk assessment, legal & regulatory requirements, threats, vulnerabilities, security policies etc.)
• Experience in performing audits for compliance with COBIT framework and ITIL practices.
• Familiarity with IM8 or equivalent ICT policies is plus
• Performed security assessments benchmarked against common security standards such as NIST or ISO 27001
• Prior experience in Application Development and Cloud are preferred but not mandatory
• Good communication & interpersonal skills.
• Excellent stakeholder management, influencing & planning skills.
• Possess CISSP/CISA/CISM, or other relevant cybersecurity qualification.

Join us and discover a meaningful and exciting career with Assurity Trusted Solutions

The remuneration package will commensurate with your qualifications and experience. Interested applicants, please click "Apply Now".

We thank you for your interest and please note that only shortlisted candidates will be notified.

By submitting your application, you agree that your personal data may be collected, used and disclosed by Assurity Trusted Solutions Pte. Ltd. (ATS), GovTech and their service providers and agents in accordance with ATS's privacy statement which can be found at: or such other successor site.

Benefits

• We promote a learning culture and encourage you to grow and learn.
• Annual Leave Benefits with additional perks such as Family Care and Birthday Leave.
• Working in a collaborative environment with helpful team members

• Communicate with management to determine needs and explain complex issues
• Conduct research and studies on company's website and software
• Manage IT activities and implement engineering designs
• Diagnose warehouse machinery problems
• Resolve malfunctions or other crises when they arise
• Oversee repairs and technical improvements
• Install new systems and technology
• Inspect and test material and machinery for safety
• Ensure proper maintenance of equipment
• Supervise and direct crew(e.g. technicians)
• Draft and submit reports

• Previous experience as a IT engineer or similar role
• Well-versed in technical aspects of projects, including machinery and equipment
• Understanding of safety guidelines
• Attention to detail
• Outstanding communication skills
• An analytical mind and strong problem-solving ability
• Ability to work in adverse weather and occasional overtime and weekends
• Degree in Engineering, Computer Science or similar field

The successful candidate will join the SIA Group's IT Infrastructure team. In this role, you will play a pivotal part in driving the transformation of End-User Computing (EUC) through the integration of AI-driven solutions and automation, ensuring a secure, efficient, and future-ready IT infrastructure.

Key Responsibilities:

EUC Project Management and Delivery

• Collaborate with internal teams and external vendors to manage and deliver EUC projects on time and within budget.
• Integrate AI and automation tools to streamline workflows, improve efficiency, and reduce manual tasks.

Administration of Microsoft Technologies

• Administer, maintain, and support Microsoft technologies like Entra, Intune, and O365, optimizing them for performance and security.
• Develop and implement automated workflows for tasks such as user provisioning, patch management, software distribution, and compliance monitoring.

Device Management and Automation

• Manage and administer end-user devices (laptops, smartphones, tablets), ensuring they are secure, compliant, and up-to-date.
• Use automation tools to streamline updates, security patches, and compliance checks, reducing manual effort and improving efficiency.

Technical Troubleshooting and AI-Driven Solutions

• Troubleshoot technical issues related to end-user computing, leveraging AI-powered diagnostic tools to minimize downtime and enhance user experience.
• Use predictive analytics and machine learning models to proactively identify and address potential issues.

Technical Documentation and Knowledge Sharing

• Create and maintain detailed technical documentation, including user guides and training materials, using AI-based knowledge management systems.
• Ensure accuracy and consistency across all documentation with AI-powered tools.

Collaboration and IT Service Delivery

• Work closely with IT team members and other departments to ensure seamless delivery of IT services.
• Foster effective communication and teamwork to achieve shared goals.

Emerging Technologies and Innovation

• Stay updated on emerging technologies, particularly in AI and automation, and evaluate their potential for enhancing IT operations.
• Drive the adoption of AI and machine learning technologies to deliver innovative IT solutions.

Requirements

• Bachelor's degree in Information Technology, Computer Science, or a related field.
• At least 3 years of hands-on experience in an EUC Engineer or similar IT Infrastructure role.
• Strong troubleshooting skills for resolving complex technical issues.
• Familiarity with IT infrastructure technologies such as Networking, Virtual Desktop Infrastructure (VDI), AWS Cloud, and Information Security.
• Advanced proficiency in Microsoft technologies, including Entra, O365, and Intune.
• Industry-recognized certifications such as MCSE, CCNA/CCNP, AWS, ITIL is prefered.
• Certifications in AI, machine learning, or automation frameworks (e.g., Microsoft AI Engineer, AWS Machine Learning, UiPath) are preferred.
• Excellent oral and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Strong interpersonal skills.
• Passion for delivering exceptional customer service, with a focus on enhancing user experience through AI-driven and automated solutions.
• Proactive in staying updated on emerging technologies, particularly in AI, automation, and EUC, with a commitment to applying these advancements to drive organizational success.

We thank all candidates for your interest in Singapore Airlines, and regret that only shortlisted candidates will be notified.

• Collaborate with cross-functional teams (business stakeholders, domain experts, engineers) to identify and frame challenging problems in mathematical optimization and operations research.
• Design, develop, and deploy optimization solutions that have direct impact on aircraft assignment, crew scheduling and other related operational areas, including predictive models to required forecast demand, disruptions, or operational KPIs. Validate models and solutions through rigorous testing, scenario analysis, and sensitivity studies; communicate results and trade-offs clearly to technical and non-technical audiences.
• Work closely with application development teams to help them operationalize and integrate optimization capabilities on their software systems, advise on data requirements, API design, performance considerations, and monitoring.
• Monitor and maintain production optimization services, troubleshoot issues, and iterate on models and algorithms as business needs evolve.
• Stay current on advances in operations research, optimization solvers (e.g., Gurobi), algorithmic improvements, and relevant data science techniques; evaluate new tools or libraries and recommend adoption where beneficial.

1. BS in Computer Science, Mathematics, Physics or a related discipline is required. PhD and MS degrees related to mathematical optimization are highly desired.
2. Advanced programming skills in Python. Conversant with data structure, algorithm design/analysis, and object-oriented programming paradigm.
3. At least 2 years of relevant technical experience in two or more of the following areas:
4. Intermediate or advanced skills in operations research, such as linear/integer/mixed-integer programming. Some familiarity with simulation, queuing theory, network and decision analyses is a plus.
5. Good understanding of some subareas of optimization algorithms, such as those in gradient-based methods or metaheuristic methods.
6. Familiarity of common Python optimization libraries, such as NumPy, SciPy, CVXPY, PuLP, and Pyomo; modern optimization platforms such as Gurobi, CPLEX or Google OR-Tools.
7. Intermediate-level hands-on skills in predictive modelling, shallow machine learning and information retrieval.
8. Prior experience or knowledge in aviation/airlines operation is a plus.
9. Some hands-on experience with AWS, GCP or similar public cloud environment.
10. Excellent interpersonal & communication skills for working with both technical staff and non-technical business users.
11. Experience with Agile/Scrum/Kanban methodologies is a plus.

1. Design and implement security automation workflows to improve efficiency, consistency, and scalability across engineering and operations.
2. Leverage Generative AI to support automation, accelerate decision-making, and improve outcomes across multiple Information Security domains.
3. Develop and integrate cloud-native security controls, ensuring alignment with enterprise architecture, governance, and operational requirements.
4. Contribute to DevSecOps practices and collaborate with offshore development teams to support secure development environments.
5. Lead end-to-end deployment of security tools, including requirement gathering, RFQ development, vendor evaluation, proof-of-concept (POC), implementation, and handover.
6. Maintain and enhance cybersecurity toolsets through regular tuning, upgrades, and lifecycle refresh planning.
7. Support ad-hoc assignments as required by the Cyber Engineering or wider Information Security team.

1. Degree in Information Technology, Computer Science, or a related discipline.
2. At least 5 years of experience in cybersecurity engineering or equivalent roles.
3. Experience with scripting and automation (e.g., Python, PowerShell, Bash).
4. Hands-on knowledge of cloud platforms and cloud-native security controls.
5. Familiarity with Generative AI tools and their application in security contexts.
6. Experience in managing cybersecurity tool lifecycles and leading solution deployments, including RFQs.
7. Experience working in DevSecOps environments and with offshore development teams is an advantage.
8. Industry certifications such as CISSP, AWS Security Specialty, or equivalent are preferred.
9. Strong interpersonal skills and the ability to work independently across multiple teams.

• Member of the in-house AI Center-of-Excellence team that works on challenging problems in advanced AI (including areas on generative multimodal AI, autonomous agent, NLP, computer vision, recommender system), mathematical optimization, game theory, and experimental design.
• Research and develop advanced machine learning algorithms to meet complex product requirements. The scope includes defining hypotheses, executing necessary tests and experiments; evaluating, tuning and optimizing algorithms and methods; and having an eye towards cloud implementation ease, scalability, and robustness in a live customer facing production environment.
• Provide technical direction and guidance to a small and highly skilled team of junior and senior data scientists embedded in Kanban data squads. These squads deliver products/services in generative AI, data science and data analytics to stakeholders in a large number of business units. Serve as a go-to technical expert in your area of AI expertise.
• Work closely with business stakeholders to create impactful and intelligent features/products. Collaborate with other team members including data scientists, data engineers and data strategists. Strategic ownership of all critical end-to-end AI processes.
• Administer/maintain performant cloud and on-premises GPU compute resources that train large ML models and provide inference API microservices in production.

• PhD degree related to computer science, machine learning or other AI disciplines is required (consideration will be given to exceptional candidates without advanced degrees).
• Demonstrated intellectual firepower as a rapid problem-solver and tech lead.
• Advanced programming skills in Python. Strong technical skills in algorithm design/analysis, data structure and SQL. At least intermediate-level mastery of functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java or C# is a must.
• Hands-on proficiency in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• 3 or more years of relevant industry experience as a hands-on technical expert in shallow and deep machine learning, with additional specializations in most of the following areas:

1. Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involving multi-agents and prompt engineering using LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Highly conversant with GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Demonstrated ability in rapidly adapting, training and deploying state-of-the-art AI models or services in production based on the latest published research papers and open-source code.
4. Familiarity of Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Significant hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Excellent mentoring, interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.