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We are seeking an Operations Support Engineer to support and maintain enterprise digital platforms. You will ensure system reliability, troubleshoot production issues, manage incidents, and work closely with engineering, product, security, and vendor teams to drive continuous service improvements.
Why Join:
- Work on enterprise digital platforms supporting public-sector services
- Gain exposure to AWS cloud, DevOps, monitoring, and automation
- Opportunity to grow in cloud and technical operations
Key Responsibilities:
- Provide L1/L2/L3 support and troubleshoot application, API, database, cloud and integration issues.
- Monitor application and infrastructure performance and drive continuous improvement.
- Manage application and security incidents, problem resolution, escalation and SLA compliance.
- Support AWS environments, deployments, CI/CD, configuration changes and production releases.
- Develop operational processes, documentation and automation to improve reliability and minimise downtime.
Requirements:
- Degree in Computer Science, IT, Software Engineering or related discipline with experience in Operations Engineering or Application Support.
- Hands-on experience with AWS/Azure/GCP, cloud infrastructure, web applications, APIs and databases.
- Knowledge of HTTP, JSON, SQL, DNS, SSL/TLS, security/access controls, APM and CloudWatch.
- Experience with ITSM tools such as AWS Quick, Zendesk or ServiceDesk, and automation tools such as Terraform or Ansible.
- Experience with Agile, DevOps, CI/CD; exposure to AWS AI, RAG, tool calling, workflow automation or data lakes is highly advantageous.
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 Wei Dinq (Outsourcing Team)
ScienTec Consulting Pte Ltd - 11C5781
Working Hours: Monday – Thursday (8.30am – 6pm), Friday (8.30am – 5.30pm) (Hybrid working arrangement)
Working Location: Clarke Quay
Salary Package: Up to SGD 11,000 + AWS
Employment Type: Full-time Contract (2 years renewable with chances of conversion)
We are seeking a Principal Security Architect to lead threat modelling and risk assessment transformation for our hybrid infrastructure environments whilst pioneering security frameworks for emerging AI implementations. This role moves beyond compliance-driven checklists to conduct architecture-based threat analysis across on-premises, cloud, and hybrid systems, with additional responsibility for developing AI security assessment capabilities. The successful candidate will partner with engineering teams to identify technical attack paths and establish security practices for our evolving AI technology landscape.
Key Responsibilities
- Advanced Threat Modelling: Lead comprehensive threat modelling exercises for complex hybrid infrastructure using established frameworks such as STRIDE, or MITRE focusing on technical attack path analysis rather than compliance verification.
- Cross-Environment Risk Assessment: Conduct deep-dive security assessments spanning on-premises legacy systems, public cloud environments, and SaaS integrations, identifying trust boundary weaknesses and potential breach scenarios.
- Architecture Security Review: Collaborate with engineering teams to analyse system architecture diagrams, data flow diagrams, and Infrastructure as Code templates to identify security design flaws and misconfigurations before implementation.
- AI Security Framework Development: Develop and implement threat modelling approaches for generative AI systems, autonomous agents, and AI-integrated applications, establishing security assessment methodologies for emerging AI technologies within our organisation.
- Attack Surface Analysis: Map potential lateral movement paths between legacy and modern environments, including AI-enhanced systems, identifying how compromised systems could escalate privileges or access sensitive resources across the hybrid estate.
- Technical Risk Translation: Partner with project managers and development teams to convert high-level security risks into specific technical vulnerabilities with clear remediation guidance and implementation priorities.
- Security Design Consultation: Provide architectural security guidance for new systems and major infrastructure changes, including AI implementations, ensuring security controls are embedded into design rather than retrofitted post-deployment.
Requirements
- Infrastructure Architecture Expertise: Comprehensive knowledge of enterprise infrastructure architectures including on-premises systems, public cloud platforms (AWS/Azure), networking protocols, and identity management systems.
- Cloud Security Mastery: Deep understanding of cloud-native security services, identity and access management, network segmentation, serverless architectures, and cloud security best practices across major platforms.
- Infrastructure as Code Proficiency: Ability to analyse and interpret Terraform, CloudFormation, ARM templates, or similar IaC technologies to understand intended system architectures and identify potential security gaps.
- Threat Modelling Frameworks: Proven experience applying structured threat modelling methodologies such as STRIDE, MITRE to complex enterprise systems and architectures.
- AI Security Awareness: Foundational understanding of AI/ML security concepts, including prompt injection risks, model security, and emerging AI threat landscapes, with willingness to develop specialised expertise in AI security assessment.
- Systems Engineering Background: Experience in systems engineering, security architecture, or infrastructure design with demonstrated expertise in enterprise-scale environments.
- Risk Assessment Methodology: Strong analytical skills in conducting technical risk assessments, vulnerability analysis, and security control effectiveness evaluation across traditional and emerging technology stacks.
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.
Wong Siew Ting (Maeve) - R25127375
ScienTec Consulting Pte Ltd - 11C5781
Working Hours: Monday – Friday (10am – 7pm)
Location: Central
Salary: Up to $10,000 + AWS + VB
We are seeking a hands-on DevOps / DevSecOps Lead to lead the design, implementation and continuous improvement of secure, scalable and highly available platforms hosted on Amazon Web Services (AWS).
You will provide technical leadership across AWS infrastructure, CI/CD, Infrastructure-as-Code, security automation, observability and production operations. You will work closely with software engineers, security teams, architects and product stakeholders to embed security and operational resilience throughout the software development lifecycle.
Key Responsibilities
AWS Cloud and Platform Engineering
- Lead the design, implementation and management of secure, scalable and highly available AWS cloud environments.
- Design AWS solutions using services such as EC2, ECS, EKS, Lambda, RDS, S3, CloudFront, Route 53, API Gateway and Elastic Load Balancing.
- Establish and maintain multi-account AWS environments using AWS Organizations, Control Tower and Service Control Policies.
- Develop reusable Infrastructure-as-Code modules using Terraform, OpenTofu, CloudFormation or AWS CDK.
- Manage containerised applications and workloads using Docker, Amazon ECS and Amazon EKS.
- Implement effective networking architectures using VPCs, subnets, Transit Gateway, NAT Gateway, VPC endpoints, security groups and network ACLs.
- Drive cloud optimisation initiatives covering performance, resilience, scalability and AWS cost management.
CI/CD and Automation
- Lead the design and implementation of CI/CD pipelines for application build, testing, security scanning and deployment.
- Implement deployment automation using AWS CodePipeline, CodeBuild, CodeDeploy, Jenkins, GitLab CI/CD or GitHub Actions.
- Establish automated release controls, approval workflows, rollback mechanisms and environment standardisation.
- Develop automation scripts using Python, Bash, PowerShell or a similar scripting language.
- Apply GitOps and DevSecOps practices to improve deployment speed, consistency and security.
- Identify and automate repetitive operational processes to minimise downtime and human error.
AWS Security and DevSecOps
- Embed security controls and automated security testing throughout the software development lifecycle.
- Integrate SAST, DAST, Software Composition Analysis, container scanning, secrets detection and Infrastructure-as-Code scanning into CI/CD pipelines.
- Implement identity and access controls using AWS IAM, IAM Identity Center, permission boundaries, Service Control Policies and role-based access.
- Manage encryption and secrets using AWS KMS, Secrets Manager and Systems Manager Parameter Store.
- Implement security monitoring and threat-detection capabilities using AWS Security Hub, GuardDuty, Inspector, Config and CloudTrail.
- Protect applications and infrastructure using AWS WAF, Shield, Network Firewall and appropriate security controls.
- Establish vulnerability-identification, prioritisation, remediation and reporting processes.
- Support security reviews, threat modelling, penetration testing, risk assessments and audit-remediation activities.
- Ensure AWS environments comply with organisational security policies, regulatory requirements and cloud security best practices.
Reliability and Production Operations
- Lead production-support activities, including monitoring, incident response, problem management and root-cause analysis.
- Implement full-stack monitoring and observability using Amazon CloudWatch, CloudTrail, X-Ray, OpenSearch and relevant Application Performance Management tools.
- Establish operational dashboards, alerts, service-level indicators and service-level objectives.
- Develop backup, disaster-recovery and business-continuity strategies using AWS Backup, RDS snapshots, S3 replication and multi-region architectures.
- Improve application and infrastructure resilience through automated recovery, scaling and failover mechanisms.
- Lead major incident response and coordinate timely resolution across internal teams and external vendors.
- Oversee production deployments and on-call support arrangements.
Technical Leadership
- Lead and mentor DevOps, DevSecOps and AWS cloud engineers.
- Provide technical direction and review AWS architectures, Infrastructure-as-Code, pipeline configurations and security controls.
- Establish DevOps, cloud security and production-operations standards.
- Create reusable AWS platform components, automation templates and engineering guidelines.
- Coordinate with application, architecture, security and product teams to deliver cloud initiatives.
- Manage external vendors and AWS service providers where required.
- Communicate technical risks, operational performance and improvement plans to stakeholders and senior management.
- Maintain documentation covering architecture, configurations, deployment procedures, incident response and disaster recovery.
Requirements
- Degree in Computer Science, Information Technology, Engineering or a related discipline.
- At least 7 years of experience in DevOps, DevSecOps, AWS cloud engineering, platform engineering or production operations.
- Demonstrated experience leading DevOps, cloud or platform-engineering teams.
- Strong hands-on experience designing, deploying and operating production workloads on AWS.
- Strong understanding of AWS networking, compute, storage, databases, containers, IAM and security services.
- Experience building CI/CD pipelines using AWS CodePipeline, CodeBuild, CodeDeploy, Jenkins, GitLab CI/CD or GitHub Actions.
- Strong experience with Terraform, OpenTofu, CloudFormation, AWS CDK or Ansible.
- Experience with Docker, Amazon ECS or Amazon EKS.
- Proficiency in Python, Bash, PowerShell or a similar scripting language.
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.
Wong Siew Ting (Maeve) - R25127375
ScienTec Consulting Pte Ltd - 11C5781
We are seeking a Salesforce Developer to help enhance and transform a growing Salesforce platform powering government initiative.
Why You'll Love Working Here:
- Salary up to $10,000 + AWS
- Hybrid Work Arrangements
- Contribute to Government Projects
Responsibilities:
- Partner with the product team to deliver enhancements across core Salesforce modules, driving continuous platform improvements
- Design and build scalable solutions using custom applications, Lightning Web Components (LWC), Apex, and Flows to meet evolving business needs.
- Contribute to integration workstreams, working with tools such as Salesforce Connect, Salesforce IDR, and Odaseva to ensure seamless data flow and reliability
- Collaborate closely with Architects, Administrators, Business Analysts, and Engineering teams to deliver secure, compliant, and scalable solutions aligned with organisational standards
- Participate in agile ceremonies including sprint planning, code reviews, and deployments, ensuring high-quality releases through established DevOps practices
- Provide ongoing support and troubleshooting for deployed features, maintaining platform stability, performance, and strong user experience
Requirements:
- Min. Degree in Computer Science, IT, or a related discipline
- Min. 4 year of Salesforce development experience
- Proficiency in Salesforce LWC, Apex, Visualforce, familiarity with Salesforce APIs and integration practices.
- Good understanding of REST APIs, web services and system integration
- Salesforce certification preferred
If you’re passionate about contributing to impactful government projects while advancing your career, we welcome you to explore this opportunity with us
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
Generative AI Engineer (LLM | RAG | AWS)
About the Role
- Salary up to $10000 + Bonus
- Opportunity to work on cutting-edge Generative AI initiatives.
- Be part of a team driving AI innovation in Singapore
Our client, a government agency in Singapore, is looking for a Generative AI Engineer to build AI-powered applications using Large Language Models (LLMs), RAG and agentic AI. You will work with business stakeholders to develop innovative AI solutions from Proof of Concept (POC) through production deployment.
Key Responsibilities
- Design and develop GenAI applications using OpenAI, Google Gemini, AWS Bedrock or similar platforms.
- Build full-stack applications, APIs and system integrations.
- Implement RAG pipelines, embeddings, vector search and agentic workflows.
- Deploy AI solutions on AWS (Lambda, ECS/Fargate, API Gateway, DynamoDB, etc.).
- Work with stakeholders to understand business needs and deliver AI solutions.
- Evaluate new AI technologies and recommend innovative use cases.
- Optimise, document and support AI applications for production.
Requirements
- Strong programming skills in Python and/or JavaScript/TypeScript.
- Hands-on experience with LLMs, prompt engineering, RAG and AI APIs.
- Experience with AWS cloud services, Docker, Git and CI/CD.
- Familiar with AI agents, tool calling and workflow orchestration.
- Good problem-solving and communication skills.
Nice to Have
- Experience with React, Next.js, FastAPI, Streamlit or Node.js.
- Experience deploying production AI applications or working with vector databases.
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.
Kenwi Goh Jian Wee – R26159880
ScienTec Consulting Pte Ltd - 11C5781
We are seeking a senior Software Quality Engineer to help ensure the reliability, performance, and quality improvement across the software development lifecycle. You’ll work closely with developers, product managers, and other stakeholders to build high-quality solutions and continuously improve our testing practices.
Why You’ll Love Working Here
- Government Projects
- Up to S$10,000 + AWS
- Hybrid Work Arrangement
Responsibilities:
- Design, develop, and execute test plans, test cases, and test scripts
- Build and maintain scalable automated test frameworks using industry-standard tools
- Contribute to improving QA processes, tools, and standards
- Execute exploratory testing to uncover edge cases, usability issues, and potential production risks
- Integrate automated testing into CI/CD pipelines to enable continuous testing and faster feedback
- Oversee User Acceptance Testing (UAT), coordinating with stakeholders to ensure business requirements are met
Requirements:
- Min 5. years of experience in software quality assurance or testing
- Diploma or Degree in Computer Science, Information Technology, Software Engineering, or a related discipline
- Experience in automated testing tools/frameworks (e.g. Playwright, Cypress, Cucumber, Selenium, Appium)
- Experience integrating automated testing into CI/CD pipelines using tools such as GitLab CI, GitHub Actions, Jenkins
- Experience working in Agile delivery environments
- Experience in testing APIs, performance, or security
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 (Outsourcing Team)
ScienTec Consulting Pte Ltd - 11C5781
We are looking for a Full Stack Developer to join our client’s team to enhance and maintain systems supporting Government applications.
- Government Project
- Salary up to $10000/month
- AWS + Up to 21 Annual Leaves
You will work across both frontend and backend, delivering reliable, scalable, and user-friendly applications used by a large number of users.
You will collaborate closely with product managers, designers, and other engineers to deliver features end-to-end, from user interface to backend services and databases.
Why Join Us?
Key Responsibilities
- Develop and maintain frontend and backend applications using TypeScript, React, and Node.js
- Build and maintain APIs and backend services, ensuring reliability and performance
- Design and work with relational and non-relational databases
- Deploy, monitor, and support applications on cloud platforms (AWS/GCP/Azure)
- Write automated tests and follow best practices to ensure code quality
- Collaborate with team members in an Agile environment to deliver features end-to-end
Requirements
- Minimum 4 years of hands-on experience in Full Stack Development
- Strong experience with TypeScript and JavaScript frameworks (React, Node.js)
- Experience working with databases (relational and/or non-relational)
- Familiarity with cloud platforms, CI/CD practices, and Git version control
- Basic understanding of testing methodologies and containerization tools
- Good problem-solving, communication, and teamwork skills
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.
Kenwi Goh Jian Wee – R26159880
ScienTec Consulting Pte Ltd - 11C5781
We're looking for a passionate Full Stack Engineer to build secure, scalable, and cloud-native applications that support government digital services.
Job Type: Contract
Why Join Us:
- Contribute to Government Projects
- Hybrid Work Arrangements
- Up to S$10,000 + AWS
Key Responsibilities
- Design, develop, test, and deploy software applications and systems that support government digital services and citizen-facing platforms.
- Monitor, troubleshoot, and resolve technical issues in existing applications and infrastructure.
- Participate in code review processes to maintain high standards of code quality, security, and performance.
- Partner with UX designers to develop comprehensive product designs that meet user needs and government service requirements.
Requirements
- 5+ years’ relevant experience in Full Stack Development
- Degree/Diploma in Computer Science, Information Systems, or related
- Experience with React.js, Go and/or Node/js.
- Strong knowledge of JavaScript and modern web applications.
- Experience with automated testing frameworks such as Mocha, Chai, Karma, or Sinon.
- Experience with relational and non-relational databases.
- Familiarity with Docker, CI/CD, and cloud platforms such as AWS.
- Experience working in Agile/Scrum environments is a plus.
If you’re ready to lead impactful government projects and advance your career in a forward-thinking environment, submit your application now!
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're looking for a passionate Cyber Platform Engineer to support the operations, maintenance, and lifecycle management of critical cybersecurity platforms across government infrastructure.
Job Type: Contract
Why Join Us:
- Contribute to Government Cybersecurity Projects
- Hybrid Work Arrangements
- Gain exposure to enterprise security platforms
Key Responsibilities
- Manage and maintain Palo Alto firewalls across critical infrastructure sites, including patching, configuration and security rule reviews.
- Administer and troubleshoot Carbon Black EDR, including endpoint sensors, system health and log monitoring.
- Manage Cloudflare DDoS/WAF services, including website onboarding, security rules, SSL certificates and access reviews.
- Administer CyberArk PAM, including privileged account onboarding/offboarding, access management and audit reviews.
- Support cybersecurity assessments, incident response, vulnerability remediation and backup/restoration activities.
- Maintain security documentation, reports, SOPs and compliance records in line with cybersecurity policies.
Requirements
- 4+ years' relevant experience in cybersecurity, network security or platform operations.
- Degree/Diploma in Computer Science, Cybersecurity, Information Technology or related fields.
- Strong foundation in enterprise networking, including TCP/IP, VLAN, routing, NAT, DNS and network troubleshooting.
- Hands-on experience with Palo Alto Networks firewalls or equivalent platforms.
- Experience with EDR platforms such as Carbon Black or equivalent.
- Familiarity with Cloudflare/WAF/DDoS platforms and CyberArk PAM or equivalent solutions.
- Experience with patch management, security hardening, change management and incident response.
- Experience supporting secured, segregated or air-gapped environments is a plus.
- CCNA or equivalent networking certification is highly preferred.
If you’re ready to work on critical cybersecurity infrastructure and advance your career in a government environment, submit your application now!
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