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We’re seeking a Software Engineer (AI) to design and develop secure, scalable digital solutions incorporating modern technologies and AI capabilities. You’ll collaborate with an experienced engineering team to build reliable applications, optimise system performance and deliver innovative digital services.
Why Join Us:
- Enjoy the Flexibility of Hybrid Work Arrangements
- Build High-Impact Digital Services
- Basic Salary Up to S$10,500 + AWS
Key Responsibilities:
- Contribute to the design and development of secure, scalable search and AI-powered applications.
- Help build features using LLMs, Retrieval-Augmented Generation (RAG), semantic search and vector databases.
- Support the evaluation and monitoring of AI solutions, including data governance and security considerations.
- Work with the team to balance performance, cost, reliability and accuracy.
- Write and maintain automated tests, and contribute to CI/CD, DevOps and code quality improvements.
- Collaborate with product, design and delivery teams to understand requirements and resolve technical challenges.
- Take part in technical discussions, code reviews and continuous improvement activities.
To Succeed:
- Min. 4 years of experience developing and maintaining web applications.
- Strong hands-on experience with Node.js and TypeScript, plus cloud platforms, SQL or NoSQL databases, CI/CD and DevOps practices.
- Experience building or contributing to search systems, semantic or vector search, or RAG solutions.
- Experience integrating LLMs into applications, ideally in a production environment.
- Understanding of AI evaluation, responsible AI, security and data governance.
- Comfortable collaborating with cross-functional teams and communicating technical ideas to stakeholders.
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).
This authorizes us to:
- Contact you about potential opportunities.
- Delete personal data as it is not required at this application stage.
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
Elias Yeo HongJie (Outsourcing Team)
ScienTec Consulting Pte Ltd - 11C5781
We're looking for passionate Senior Full Stack Engineer to build and enhance secure, scalable enterprise AI services supporting the Singapore Public Service.
Be part of a team working on AI platforms, including ChatGPT Enterprise, Microsoft 365 Copilot and Gemini Enterprise, alongside emerging AI-enabled applications and automation solutions.
Job Type: Contract (Renewable basis)
Why Join Us
- Gain Exposure to Leading Enterprise AI Technologies & Intelligent Automation
- Work on Modern Full Stack Development, AI Integration & Cloud Solutions
- Build Secure, Scalable Applications Supporting Singapore's Public Service
Key Responsibilities
- Design, develop, test and maintain secure, scalable full-stack applications, backend services, APIs and databases supporting enterprise AI platforms.
- Build responsive frontend applications using React, Angular or Vue.js, and backend services using TypeScript, JavaScript, Python, Java or C#.
- Develop and integrate REST APIs, enterprise applications, identity services and document repositories, ensuring secure and reliable system connectivity.
- Support AI-enabled applications, workflow automation, user provisioning and licence management, including AI agents and Model Context Protocol (MCP) integrations where applicable.
- Implement CI/CD pipelines, automated testing, application security, monitoring and cloud deployment practices to ensure software quality and production reliability.
Requirements
- Relevant hands-on Full Stack / Software Engineering experience, with demonstrated ability to develop, deploy and maintain production applications.
- Strong frontend development experience with JavaScript/TypeScript and React.js, Angular or Vue.js.
- Hands-on backend development experience with Node.js, Python, Java or C#/.NET, including REST API development and system integration.
- Experience with SQL/NoSQL databases, Git, automated testing, CI/CD and production application support.
- Experience with AWS, Azure, GCP, Docker, Kubernetes, Microsoft Graph API, Entra ID, GenAI/LLM applications, RAG, AI agents or MCP would be advantageous.
If you're passionate about building reliable digital solutions and keen to gain exposure to enterprise AI platforms, intelligent automation and emerging AI technologies, we'd love to hear from you!
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).
This authorizes us to:
- Contact you about potential opportunities.
- Delete personal data as it is not required at this application stage.
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
Shirley Hang (Outsourcing Team)
ScienTec Consulting Pte Ltd - 11C5781
We are looking for an experienced Data Engineer to design, develop and maintain data pipelines, data integration solutions and database systems across Oracle and AWS environments. You will be responsible for building and optimising data processing workflows, ensuring data quality and reliability, and supporting the organisation's data management and analytics initiatives.
- Working Hours: Mon-Fri
- Working Location: Central
- Salary Package: Up to $6,500 (basic) + AWS + VB
Key Responsibilities
- Design, develop and maintain scalable data pipelines and ETL/ELT processes to support data integration and transformation requirements.
- Develop, optimise and maintain Oracle database solutions, including SQL queries, PL/SQL scripts, stored procedures and database performance tuning.
- Leverage AWS cloud services to build, deploy and manage cloud-based data engineering solutions.
- Perform data extraction, transformation, loading and validation across multiple data sources and systems.
- Develop and maintain data integration workflows to support data migration, synchronisation and reporting requirements.
- Monitor and troubleshoot data pipelines, database performance and data processing issues to ensure reliability and efficiency.
- Implement data quality checks, data validation and error-handling mechanisms to maintain data accuracy and integrity.
- Work closely with application developers, solution architects, business analysts and stakeholders to understand data requirements and deliver technical solutions.
- Support database optimisation, data migration and cloud modernisation initiatives.
- Ensure data solutions comply with established security, governance and operational standards.
Requirements
- Degree in Computer Science, Information Technology, Engineering or a related discipline.
- Proven experience in Data Engineering, Database Development or ETL development.
- Strong hands-on experience with Oracle databases, including SQL, PL/SQL, stored procedures, functions and query optimisation.
- Practical experience with AWS cloud services and cloud-based data engineering solutions.
- Experience developing and maintaining ETL/ELT pipelines and data integration workflows.
- Good understanding of data modelling, database design, data warehousing and data management concepts.
- Experience with data processing, transformation, validation and troubleshooting.
- Familiarity with scripting languages such as Python, Shell scripting or similar.
- Strong analytical, troubleshooting and problem-solving skills.
- Good communication skills and ability to work collaboratively with technical and business stakeholders.
Good to Have
- AWS services such as Amazon S3, AWS Glue, Lambda, Redshift, RDS and CloudWatch.
- Experience with AWS Database Migration Service (DMS).
- Exposure to Oracle Database migration or modernisation to AWS.
- Experience with Apache Spark, PySpark or other big data technologies.
- Familiarity with CI/CD, Git and Infrastructure as Code (IaC).
- AWS certifications such as AWS Certified Data Engineer – Associate or AWS Solutions Architect – Associate.
By submitting your resume, you consent to the collection, use, and disclosure ofyour personal information per ScienTec’s Privacy Policy(scientecconsulting.com/privacy-policy).
This authorizes us to:
- Contact you about potential opportunities.
- Delete personal data as it is not required at this application stage.
- All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
Elane Yap Theng Yu- R1989397
ScienTec Consulting Pte Ltd - 11C5781
We are looking for a Business Analyst to support the day-to-day operations and continuous improvement of digital products and systems. You will work closely with business users, product teams and technical teams to manage requirements, operational issues and product enhancements.
- Working Hours: Mon-Fri
- Working Location: Central
- Salary Package: Up to $8800 (basic) + AWS
- Job Type: Contract
Key Responsibilities
- Gather, analyse and document business and operational requirements.
- Work with stakeholders to identify process gaps and recommend improvements.
- Support incident and service request triage, including coordination with technical teams for resolution.
- Analyse application issues, user feedback and operational data to identify recurring problems and improvement opportunities.
- Manage and prioritise product enhancement requests and operational backlog.
- Translate business needs into user stories, functional requirements and acceptance criteria.
- Support UAT, release activities and post-deployment validation.
- Maintain SOPs, process documentation, user guides and operational reports.
- Coordinate across business, product, engineering and support teams to ensure smooth product operations.
- Track issues, risks, actions and service performance.
Requirements
- Degree in Information Technology, Business, Information Systems or related discipline.
- At least 5 years of experience as a Business Analyst, Product Operations Analyst, Application Support Analyst or similar role.
- Experience supporting digital products, applications or IT systems.
- Good understanding of requirements gathering, process analysis and incident management.
- Experience with Agile environments and tools such as Jira and Confluence is advantageous.
- Experience with UAT, system enhancements and production support.
- Strong analytical, communication and stakeholder management skills.
- Able to work effectively with both business and technical teams.
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).
This authorizes us to:
Contact you about potential opportunities.
Delete personal data as it is not required at this application stage.
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
Elane YapTheng Yu- R1989397
ScienTecConsulting Pte Ltd - 11C5781
We are looking for an experienced Project Manager to lead and coordinate the end-to-end delivery of technology projects. You will work closely with business stakeholders, technical teams and external vendors to ensure projects are delivered successfully within agreed scope, timeline, budget and quality standards.
- Working Hours: Mon-Fri
- Working Location: Central
- Job Type: Contract
- Salary Package: Up to $9500 (basic) + AWS
Key Responsibilities
- Manage the end-to-end project lifecycle, from initiation and planning through implementation, deployment and closure.
- Develop and maintain project plans covering scope, schedule, milestones, resources, dependencies and deliverables.
- Coordinate cross-functional teams including business users, developers, infrastructure teams, vendors and other technical stakeholders.
- Gather and understand business requirements and work with technical teams to translate requirements into actionable project deliverables.
- Monitor project progress and proactively manage risks, issues, dependencies and changes.
- Manage project budgets, resources and timelines to ensure successful delivery.
- Facilitate project meetings, workshops, status reviews and steering committee updates.
- Prepare regular project status reports, dashboards and management presentations.
- Coordinate and track SIT, UAT, deployment, go-live and post-implementation activities.
- Manage vendors and third-party service providers, including deliverables, timelines and service quality.
- Ensure projects comply with relevant governance, security, risk and quality requirements.
- Manage stakeholder expectations and maintain effective communication across business and technology teams.
- Support procurement, tendering and contract/vendor management activities where required.
- Drive issue resolution and ensure timely escalation of critical project risks or blockers.
- Conduct post-implementation reviews and identify opportunities for continuous improvement.
Requirements
- Degree in Information Technology, Computer Science, Engineering, Business or a related discipline.
- Relevant experience in IT Project Management or technology project delivery.
- Proven experience managing projects across the Software Development Life Cycle (SDLC).
- Good understanding of Agile/Scrum and/or Waterfall methodologies.
- Experience managing project scope, schedule, budget, risks, issues and resources.
- Strong stakeholder and vendor management experience.
- Experience coordinating SIT, UAT, implementation and production deployment activities.
- Good understanding of enterprise applications, system integrations, infrastructure or cloud environments would be advantageous.
- Familiarity with tools such as Jira, Confluence, Microsoft Project, Azure DevOps or equivalent.
- Strong communication, presentation, planning and problem-solving skills.
- Ability to manage multiple priorities and work effectively with cross-functional teams.
- PMP, PRINCE2, Scrum Master or other relevant project management certifications would be advantageous.
Key Skills
IT Project Management | SDLC | Agile/Scrum | Waterfall | Project Planning | Risk & Issue Management | Stakeholder Management | Vendor Management | Budget Management | SIT/UAT | Implementation | Change Management | Project Governance
Bysubmitting your resume, you consent to the collection, use, and disclosure ofyour personal information per ScienTec’s Privacy Policy(scientecconsulting.com/privacy-policy).
This authorizes us to:
- Contact you about potential opportunities.
- Delete personal data as it is not required at this application stage.
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
Elane Yap Theng Yu- R1989397
ScienTec Consulting Pte Ltd - 11C5781
We are looking for a technically grounded and stakeholder-facing Technical Solutions Consultant to support the adoption of AI platforms across government agencies. You will work closely with agencies, Product Managers, Solution Architects and technical teams to understand business challenges, identify suitable AI use cases and translate requirements into practical technology solutions.
- Working Hours: Mon-Fri
- Working Location: Punggol
- Salary Package: Up to $10,000 (basic) + AWS
- Job Type: Contract
The role combines business analysis, technical solutioning and consultative pre-sales engagement, with opportunities to conduct product demonstrations, support Proof of Concepts (POCs) and facilitate agency onboarding.
Key Responsibilities
- Lead discovery sessions and workshops with stakeholders to understand business requirements, existing processes, operational challenges and potential AI use cases.
- Analyse business workflows and translate requirements into functional specifications, user stories, acceptance criteria and solution proposals.
- Assess AI use cases for feasibility, business value, platform suitability, data readiness and implementation considerations.
- Work with Product Managers, Solution Architects and technical teams to propose suitable AI solutions based on business requirements.
- Prepare and deliver tailored technical presentations, product demonstrations and solution walkthroughs to both technical and non-technical stakeholders.
- Support Proof of Concepts (POCs), including defining scope, requirements, success criteria and coordinating with relevant technical teams.
- Explain AI platform capabilities, limitations, system integrations and technical considerations to help agencies evaluate potential solutions.
- Conduct hands-on product training and onboarding sessions for agencies and vendors.
- Facilitate solution handovers to delivery and support teams, ensuring requirements, dependencies and implementation considerations are clearly documented.
- Gather stakeholder feedback, identify product enhancement opportunities and provide insights to support product roadmap and adoption initiatives.
Requirements
- Preferably 5 years of relevant experience in IT Business Analysis, Technical Pre-Sales, Solution Consulting, Product Consulting or a customer-facing technical role.
- Diploma or Degree in Computer Science, Information Technology, Engineering or a related discipline.
- Proven experience in requirements gathering, business process analysis and translating business needs into technical solutions.
- Experience in application solution design, testing or participation in at least one full software development lifecycle (SDLC), preferably within an Agile environment.
- Working knowledge of APIs, system integrations, data flows and cloud-based technologies.
- Foundational understanding of Generative AI technologies, particularly text-based GenAI, including their capabilities, limitations and practical applications.
- Familiarity with technical pre-sales activities such as solution discovery, requirements qualification, product demonstrations, presentations and POC coordination.
- Strong presentation, communication and stakeholder management skills, with the ability to engage both technical and business audiences.
- Strong analytical, conceptualisation and problem-solving abilities.
- Proactive, adaptable and resourceful, with an interest in exploring emerging AI technologies and solutions.
Good to Have
- Experience implementing or supporting AI/GenAI-enabled solutions.
- Hands-on experience preparing technical demonstrations, prototypes or Proofs of Concepts (POCs).
- Previous software development, application engineering or technology consulting experience.
- Knowledge of cloud platforms, data analytics, CRM, knowledge management or service design.
- Familiarity with authentication, access controls, cybersecurity and data protection considerations.
- Business Analysis certifications such as CBAP or equivalent.
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).
This authorizes us to:
Contact you about potential opportunities.
Delete personal data as it is not required at this application stage.
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
Elane Yap Theng Yu- R1989397
ScienTec Consulting Pte Ltd - 11C5781
We are seeking a hands-on Azure Cloud Engineer to design, implement, configure and maintain cloud infrastructure and services. The ideal candidate should possess strong technical expertise in Microsoft Azure, with practical experience in cloud engineering, infrastructure automation, containerisation and cloud security.
You will work closely with infrastructure, cybersecurity and application teams to implement cloud solutions, troubleshoot technical issues and ensure the reliability, scalability and security of cloud environments.
- Working Hours: Mon-Fri
- Working Location: Buona Vista
- Salary Package: Up to $9000 (basic) + AWS
Key Responsibilities
- Design, deploy, configure and maintain cloud infrastructure and services within Microsoft Azure environments.
- Perform hands-on implementation and administration of Azure resources, including Azure Virtual Networks, Virtual Machines, Storage Accounts, Azure Kubernetes Service (AKS) and other cloud services.
- Implement and manage cloud networking components, including VNets, subnets, NSGs, VPN, routing, load balancers and connectivity configurations.
- Manage containerised workloads and Kubernetes environments, including deployment, configuration, troubleshooting and cluster administration.
- Implement Infrastructure as Code (IaC) and automation using tools such as Terraform, ARM Templates, Bicep, PowerShell or Azure CLI.
- Configure and maintain cloud security controls, including Azure RBAC, Microsoft Entra ID, identity and access management, security policies and network security configurations.
- Monitor cloud infrastructure performance, troubleshoot complex technical issues and perform root cause analysis to ensure service reliability.
- Identify and remediate cloud security vulnerabilities, misconfigurations and compliance gaps in accordance with established security standards.
- Collaborate with technical teams to execute cloud infrastructure enhancements, migration and optimisation initiatives.
Requirements
- Diploma or Degree in Computer Science, Information Technology, Engineering or a related discipline.
- Proven hands-on experience in cloud infrastructure engineering, particularly within Microsoft Azure.
- Strong technical knowledge and practical experience in Azure services, cloud infrastructure deployment and administration.
- Good understanding of cloud networking, including VNets, subnets, NSGs, routing, VPN and load balancing.
- Hands-on experience with Kubernetes and container technologies, preferably Azure Kubernetes Service (AKS), Docker and container orchestration.
- Experience with Infrastructure as Code (IaC) and scripting/automation tools such as Terraform, ARM/Bicep, PowerShell or Azure CLI.
- Familiarity with Azure security configurations, RBAC, identity management and cloud security best practices.
- Strong troubleshooting, analytical and problem-solving skills, with the ability to independently investigate and resolve technical issues.
- Relevant Microsoft Azure certifications such as AZ-104, AZ-305, AZ-500 or equivalent would be advantageous.
Preferred Certifications
- Microsoft Certified: Azure Administrator Associate (AZ-104)
- Microsoft Certified: Azure Security Engineer Associate (AZ-500)
- Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
- Certified Kubernetes Administrator (CKA) or equivalent
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).
This authorizes us to:
Contact you about potential opportunities.
Delete personal data as it is not required at this application stage.
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
Elane Yap Theng Yu- R1989397
ScienTec Consulting Pte Ltd - 11C5781