Most In-Demand Tech Jobs in Singapore: What Employers Are Looking For

Singapore’s tech sector is expanding rapidly, with over 214,000 professionals employed in 2024 and a projected need for an additional 41,000 tech roles by 2028. This growth is fueling demand for skilled talent, making it a golden period for professionals seeking high-paying, future-ready roles. From AI and machine learning to cybersecurity, cloud computing, and data analytics, companies are seeking individuals who combine technical expertise with problem-solving skills and adaptability. These tech jobs in Singapore not only offer lucrative pay but also opportunities to work on cutting-edge projects across diverse industries.

In this article, we’ll break down the most sought-after roles, the skills employers prioritise, and strategies for positioning yourself effectively.

Source: Channel New Asia

Most In-Demand Tech Jobs in Singapore

Singapore’s tech scene is buzzing with opportunities, and companies are on the lookout for skilled professionals who can solve real problems and drive innovation. From coding to cloud solutions, AI to UX design, these roles are shaping the future and offering rewarding careers. 

Professionals exploring technical jobs in Singapore have a wide range of high-growth options to choose from; let’s have a look:

1. Software Engineer

Software engineers design, build, and maintain the digital products we rely on every day. Their problem-solving skills and coding expertise make them central to every tech project.

Software Engineer Job Description:

• Develop applications using Python, Java, or C++.
• Collaborate in agile teams for faster delivery.
• Maintain code quality with version control tools.
• Optimise software for performance and scalability.

Software Engineer Educational Requirements: Software engineers typically require at least a Bachelor’s degree in technical fields such as Computer Engineering or Computer Science.

Also read: Python Programming Courses in Singapore for Beginners

2. Data Scientist

Data scientists turn complex datasets into actionable insights, helping businesses make smarter decisions and drive innovation across industries.

Data Scientist Job Description:

• Analyse and manipulate data using Python, R, or SQL.
• Build predictive models and dashboards.
• Visualise data with Tableau or Power BI.
• Interpret insights to guide strategic decisions.

Data Scientist Educational Requirements: Data Scientists typically need a Bachelor’s degree in a quantitative field, such as Computer Science, Mathematics, Statistics, or Engineering.

Also read: How To Become A Data Scientist?

3. Cybersecurity Specialist

Cybersecurity specialists protect networks and systems from cyber threats. They ensure sensitive information remains secure and businesses operate safely.

Cybersecurity Specialist Job Description:

• Monitor networks for vulnerabilities.
• Conduct ethical hacking and security assessments.
• Implement robust security protocols.
• Respond swiftly to security incidents.

Cybersecurity SpecialistEducational Requirements: To be a Cybersecurity Specialist, you need at least a Bachelor’s degree in a field such as Cybersecurity, Computer Science, or Information Technology (IT).

4. Cloud Architect

Cloud architects design scalable, secure, and efficient cloud infrastructures, enabling organisations to leverage digital platforms effectively.

Cloud Architect Job Description:

• Deploy and manage cloud platforms like AWS, Azure, or Google Cloud.
• Optimise system performance and scalability.
• Ensure compliance with security standards.
• Plan migrations and cloud upgrades.

Cloud Architect Educational Requirements: If you want to work as a Cloud Architect, you will need at least a Bachelor’s degree in a field like Computer Science, IT, or Engineering.

Also read: Cloud Computing Courses

5. AI/ML Engineer

AI/ML engineers develop intelligent systems that automate processes and provide predictive insights, driving business innovation.

AI/ML Engineer Job Description:

• Build machine learning models using TensorFlow or PyTorch.
• Preprocess and clean datasets.
• Implement neural networks for complex problem-solving.
• Evaluate and refine model performance.

AI/ML Engineer Educational Requirements: The bare minimum you need to work as an AI/ML Engineer is a Bachelor’s degree in a quantitative field like Computer Science, Data Science, Machine Learning, or Statistics

Also read: Building Intelligent Systems with TensorFlow

6. DevOps Engineer

DevOps engineers streamline development and operations, ensuring faster, more reliable software deployment and stable systems.

DevOps Engineer Job Description:

• Automate the CI/CD pipelines.
• Manage Docker, Kubernetes, and Jenkins.
• Monitor system performance.
• Troubleshoot deployment issues.

DevOps Engineer Educational Requirements: A Bachelor’s degree in a field like Computer Science, Engineering, or Information Systems is the absolute minimum that you need to work as a DevOps Engineer.

7. Product Manager (Tech)

Tech product managers oversee the product lifecycle from concept to launch, aligning business goals with technology execution.

Product Manager Job Description:

• Define product roadmap and vision.
• Coordinate with design and engineering teams.
• Prioritise features based on data and user needs.
• Ensure timely delivery of high-quality products.

Product Manager Educational Requirements: You need a Bachelor’s degree in a subject like Computer Science, Business, or Engineering to work in this field.

Also read: Secret Success of Being a Production Manager

8. UX/UI Designer

UX/UI designers create engaging, intuitive digital experiences that are visually appealing and user-friendly.

UX/UI Designer Job Description:

• Conduct user research and usability testing.
• Create wireframes and interactive prototypes.
• Apply design principles and accessibility standards.
• Collaborate with developers for seamless implementation.

UX/UI Designer Educational Requirements: To work as a UX/UI Designer you need a Bachelor’s degree in a subject such as Design, Computer Science, or Human-Computer Interaction.

9. Full Stack Developer

Full Stack Developers manage both the back-end and front-end of web applications and make sure that they function, perform, and scale seamlessly.

Full Stack Developer Job Description

• Develop and maintain both front-end and back-end components of web applications.
• Design scalable APIs and integrate databases and third-party services.
• Ensure application performance, security, and responsiveness.
• Collaborate with designers, product managers, and QA teams for end-to-end delivery.

Full Stack Developer Educational Requirement: You need both front-end and back-end software development skills to land these jobs.

10. Data Analyst

Data Analysts collect, clean, analyze, and interpret large datasets, and offer actionable insights that help organizations make data-based business decisions.

Data Analyst Job Description

• Collect, clean, and analyze large datasets to identify trends and insights.
• Create dashboards and reports to support data-driven decision-making.
• Use tools like SQL, Excel, Python, or BI platforms to interpret data.
• Work with business and technical teams to translate data into actionable strategies.

Data Analyst Educational Requirement: To work as a Data Analyst, you need technical skills like proficiency in the likes of Structured Query Language (SQL), Python, Microsoft Excel, and R.

11. Project Manager (Tech)

Project Managers (Tech) plan, execute, and finalize technology-driven projects such as software development, cloud migration, and system integration on time, within budget, and within scope.

Project Manager (Tech) Job Description 

• Plan, execute, and oversee technology projects from initiation to delivery.
• Define project scope, timelines, budgets, and resource allocation.
• Coordinate with cross-functional teams including developers and stakeholders.
• Monitor risks, resolve issues, and ensure projects meet business objectives.

Project Manager (Tech) Educational Requirement: You need strong technical knowledge like software development lifecycle, cloud platforms, IT infrastructure, and the latest software development tools.

12. Site Reliability Engineer

Site Reliability Engineers ensure that a company’s software systems are reliable, efficient, and scalable. For this, they apply software engineering principles and solve problems.

Site Reliability Engineer Job Description 

• Ensure system reliability, scalability, and availability of applications.
• Monitor infrastructure performance and automate operational tasks.
• Implement incident response and disaster recovery strategies.
• Collaborate with development teams to improve system resilience.

Site Reliability Engineer Educational Requirement: You need to be proficient in scripting and programming to work in these roles properly. This means being proficient in languages like Python, Java, Go, or Shell scripting for tooling and automation.          

13. Cloud Migration Specialist

Cloud Migration Specialists help with the smooth transition of an organization’s digital assets like applications, IT infrastructure, and databases. They move all this from on-premises data centers or existing cloud environments to targeted cloud platforms.

Cloud Migration Specialist Job Description

• Assess existing IT infrastructure and plan cloud migration strategies.
• Migrate applications, data, and workloads to cloud platforms.
• Optimize cloud performance, cost, and security post-migration.
• Work with stakeholders to ensure minimal downtime during transition.

Cloud Migration Specialist Educational Requirement: At the very least, you have to be an expert in the top cloud platforms like Amazon Web Services (AWS), Google Cloud Platform, or Microsoft Azure to do such work the right way.

14. Cybersecurity Engineer

Cybersecurity Engineers design, implement, monitor, and maintain the security systems that safeguard the computer networks, information systems, and data of organizations from different cyber threats.

Cybersecurity Engineer Job Description 

• Design and implement security measures to protect systems and data.
• Monitor networks for vulnerabilities and potential threats.
• Conduct security audits, risk assessments, and incident investigations.
• Ensure compliance with industry security standards and regulations.

Cybersecurity Engineer Educational Requirement: You need to be good with security information and event management (SIEM) tools, network security tools, endpoint detection and response (EDR) solutions, and vulnerability scanners for such jobs.

15. Software Developer

Software Developers design, write, test, and maintain software systems and applications that help meet business goals and user requirements.

Software Developer Job Description

• Design, develop, test, and maintain software applications.
• Write clean, efficient, and scalable code using modern programming languages.
• Debug applications and resolve technical issues.
• Collaborate with teams to deliver high-quality software solutions.

Software Developer Educational Requirement: You must be proficient in programming languages like the following to work in these roles:

• Java
• Python
• C#
• JavaScript
• Go
• C++  

The following table shows the salaries that you can earn in these professions in Singapore: 

Job Role	Annual Salary Range
Cloud Architect	SGD 97,000 – SGD 162,000
Site Reliability Engineer	SGD 84,000 – SGD 108,000
Product Manager (Tech)	SGD 72,000 – SGD 108,000
Project Manager (Tech)	SGD 72,000 – SGD 108,000
Cloud Migration Specialist	SGD 84,000 – SGD 96,000
Data Scientist	SGD 60,000 – SGD 96,000
DevOps Engineer	SGD 60,000 – SGD 96,000
Cybersecurity Specialist	SGD 48,000 – SGD 96,000
AI/ML Engineer	SGD 60,000 – SGD 84,000
Full Stack Developer	SGD 60,000 – SGD 84,000
Software Engineer	SGD 48,000 – SGD 72,000
Data Analyst	SGD 48,000 – SGD 72,000
Cybersecurity Engineer	SGD 48,000 – SGD 72,000
Software Developer	SGD 48,000 – SGD 72,000
UX/UI Designer	SGD 36,000 – SGD 60,000

Sources: Glassdoor, as of September 8, October 13 & 29, and November 8 & 21, 2025

Skills Employers Value Most in Tech Professionals

Landing top tech jobs in Singapore today goes beyond just knowing how to code. Employers want professionals who can apply their skills to real-world challenges, communicate clearly, and work seamlessly in teams. For example, a developer who can not only write Python scripts but also explain their approach to stakeholders instantly becomes more valuable.

The table below enlists the key skills required to get the best technical jobs in Singapore:

Skill	Real-World Application
Programming & Coding	Writing clean, efficient code for software, apps, or automation tools.
Data Analysis & Visualisation	Turning complex datasets into actionable insights using Python or Tableau.
Cloud Computing & DevOps	Deploying scalable applications on AWS or Google Cloud while automating workflows.
Cybersecurity Awareness	Identifying vulnerabilities and implementing safeguards to protect sensitive data.
Problem-Solving & Critical Thinking	Finding innovative solutions when projects hit roadblocks or requirements change.

Also Read: 5 In-Demand Technical Skills in Singapore You Can Pick Up Through Courses

Key Emerging Sectors Shaping the Singapore Tech Job Market

Beyond traditional IT roles, several emerging sectors are driving a surge in tech jobs in Singapore, offering innovative, high-growth opportunities for those ready to upskill.

• Artificial Intelligence & Machine Learning: Companies like Taiger, Scry Analytics, and AIDA Technologies are transforming industries with AI solutions, driving demand for specialists who can design and implement intelligent systems.
• Cybersecurity: With cyber threats on the rise, organisations such as ST Engineering, Ensign InfoSecurity, and Singtel are actively seeking experts to protect critical systems and sensitive data.
• FinTech & Digital Payments: Banks and payment platforms like DBS, OCBC, and Revolut need professionals to develop secure, data-driven financial tools.
• Cloud Computing & DevOps: Tech giants like Google Cloud, AWS, and Salesforce hire engineers to deploy scalable cloud solutions and automate workflows.
• Data Analytics & Big Data: Companies such as Grab, Shopee, and Lazada rely on data analysts skilled in Python to generate insights that drive business strategy.

Also Read: 15 Most In-Demand Jobs in Singapore  

Pathways to Build a Career in Tech

Entering the tech industry in Singapore can be daunting, but adopting the correct approach is crucial. Tech jobs in Singapore are growing rapidly, and professionals who combine learning, experience, and networking tend to stand out.

1. Build a Strong Foundation: Start with a degree or certification in computer science, data science, AI, or cybersecurity. This gives you the technical knowledge employers want.
2. Gain Real-World Experience: Internships, personal projects, and open-source contributions let you apply skills in practical scenarios. Employers notice hands-on experience more than just qualifications.
3. Keep Learning: The tech world changes fast. Online courses, bootcamps, and workshops help you stay up-to-date with AI, cloud computing, and big data trends.
4. Network and Connect: Attend meetups, webinars, and tech events. Talking to peers and mentors often leads to job referrals and opportunities you won’t find online.

Also read: The Rise of Tech-Focused MBAs in Singapore: Are They Worth It?

How upGrad Can Help You Build a Tech Career

Building a tech career in Singapore is easier when you have access to flexible online programs from reputable universities and institutions, and that’s where upGrad comes in. The platform connects you with courses in AI, data science, cloud computing, machine learning, and cybersecurity, designed to equip you with the skills employers are actively seeking. 

With mentorship, real-world projects, and career support, you can learn at your own pace while preparing for high-demand tech jobs in Singapore. By enrolling through upGrad, you’re investing in a structured, future-ready pathway that helps you stay competitive and land rewarding tech roles.

Explore Relevant Online Programs via upGrad:

• Generative AI
• Data Science & Analytics
• Machine Learning & AI

Related Article

Fastest-Growing Industries in Singapore

FAQs on In-Demand Tech Jobs in Singapore