Working Hours: Monday – Friday (10am – 7pm)

Location: Central

Salary: Up to $10,000 + AWS + VB

We are seeking an experienced DevOps Lead to oversee the design, implementation and continuous improvement of secure, scalable and highly available cloud infrastructure and DevOps platforms. The successful candidate will provide technical leadership across cloud architecture, CI/CD, infrastructure automation, container orchestration, system administration and production monitoring.

Key Responsibilities

• Lead the design, implementation and operation of DevOps solutions across AWS, Azure or Google Cloud Platform.
• Architect and maintain secure, scalable and highly available cloud infrastructure.
• Build and optimise reliable, high-velocity CI/CD pipelines using tools such as Jenkins, GitLab, Nexus and Maven.
• Lead the containerisation and orchestration of applications using Docker and Kubernetes.
• Implement Infrastructure-as-Code and configuration management using Terraform, CloudFormation, Ansible AWX/Tower, Chef or Puppet.
• Design and manage networking components, including TCP/IP, HTTP, DNS, routing and load-balancing configurations.
• Implement monitoring, logging and application performance monitoring solutions using tools such as Prometheus, Grafana, ELK and CloudWatch.
• Support the implementation and administration of platforms such as HashiCorp Vault and Keycloak.
• Automate repeatable operational and deployment processes using Bash, PowerShell, Python, Ruby, JavaScript or Groovy.
• Troubleshoot complex infrastructure, deployment and system administration issues across development, testing and production environments.
• Establish DevOps standards, operational procedures and engineering best practices.
• Produce and maintain system design documents, technical manuals, operational guides and troubleshooting procedures.
• Collaborate with development, infrastructure, security and quality assurance teams to embed automation, security and quality controls throughout the software development lifecycle.
• Provide technical guidance, conduct design reviews and mentor DevOps engineers within the team.
• Drive continuous improvements in platform reliability, deployment efficiency, system security and operational resilience.

Requirements

• Degree in Computer Science, Information Technology, Engineering or an equivalent discipline.
• At least 5 years of relevant experience in DevOps, cloud infrastructure or system administration, including experience leading technical deliveries.
• Strong delivery experience with cloud platforms such as AWS, Azure or Google Cloud Platform.
• Hands-on AWS experience with services such as EC2, RDS, ELB, EFS, ELK, ElastiCache, S3, VPC, IAM, CloudWatch, KMS and MSK would be advantageous.
• Strong experience building and maintaining CI/CD pipelines using Jenkins, GitLab, Nexus and Maven.
• Proficiency in Docker and Kubernetes.

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 looking for an experienced Business Analyst with keen interest in delivery of Government Projects.

• Opportunity to work on large scale digital transformation projects .
• 5 days work week (Mon to Fri), Hybrid Work Arrangement.
• Attractive remuneration package.

Responsibilities:

• Conduct thorough market and solution analyses, along with user interviews, to define the problem space, uncover opportunities or synergies, and deliver actionable insights that guide product success.
• Establish key success factors, develop metrics, and build dashboards to track performance—enabling clear measurement of outcomes and alignment with goals.
• Analyze product performance after launch, identify areas for enhancement, and facilitate iterative improvements to drive ongoing value.
• Evaluate the impact of change requests, estimate resource needs, and ensure requests are actionable and resource-appropriate.

Requirements:

• Min 5 years’ experience required, Computer Science or IT related tertiary education.
• Experience in full software / product development life cycles using Agile Methodology.
• Demonstrated ability to collect and synthesize data into actionable insights, with proven experience working end-to-end alongside product teams to influence outcomes.
• Excellent verbal and written communication skills, empowering clear idea pitching and effective stakeholder alignment.
• Thrives under tight deadlines, with strong prioritization and independent working capabilities. 

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.

Lee Wen Ying (Mattias) - R23112909

ScienTec Consulting Pte Ltd - 11C5781

We are seeking an experienced Project Manager to lead, coordinate, and deliver secure, high-impact government technology initiatives that support public sector transformation.

• Opportunity to be a part of an innovative team driving digital transformation across the public sector.
• Attractive remuneration package.
• Hybrid work arrangement.

Responsibilities:

• Lead the planning, execution, and delivery of technology projects for government agencies, ensuring timelines, scope, and budget are met.
• Collaborate with cross-functional teams to gather requirements, translate business needs, and define deliverables.
• Identify and manage project risks, develop mitigation strategies, and proactively address challenges.
• Coordinate project resources, including personnel, technology, and budget, to optimize outcomes.
• Ensure all deliverables meet quality standards and comply with relevant government regulations and policies.
• Provide regular project status reports, updates, and insights to leadership and stakeholders.

Requirements:

• Minimum of 5 years’ experience managing technology projects, preferably within public sector or government environments.
• Proficiency with project management tools and methodologies (e.g., Microsoft Project, Jira, Agile).
• Strong stakeholder engagement, collaboration, and communication skills.
• Demonstrated leadership in cross-functional teams and proven ability to manage multiple priorities.

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.

Lee Wen Ying (Mattias) - R23112909

ScienTec Consulting Pte Ltd - 11C5781

We are looking for a Backend Engineer with strong Python development experience to build and enhance scalable backend services and AI-powered applications, including LLM and chatbot solutions. You will work closely with product, AI/ML and engineering teams to develop APIs, integrate AI models and deliver reliable production-grade applications.

• Working Hours: Mon-Fri
• Working Location: Central
• Job Type: Contract
• Salary Package: Up to $10,000 (basic) + AWS

Key Responsibilities

• Design, develop and maintain backend applications and services using Python.
• Build scalable and secure RESTful APIs / backend services to support web, mobile and AI applications.
• Develop and enhance LLM-powered applications and conversational chatbot solutions.
• Integrate applications with Large Language Models (LLMs) and external AI/model APIs.
• Implement Retrieval-Augmented Generation (RAG) workflows to retrieve relevant enterprise information and improve LLM responses.
• Develop data ingestion, document processing, embedding and retrieval workflows for AI applications.
• Work with vector databases/search technologies to support semantic search and knowledge retrieval.
• Implement prompt engineering, context management and conversation workflows for chatbot applications.
• Integrate backend services with databases, enterprise systems and third-party APIs.
• Develop reusable and maintainable backend components following good software engineering practices.
• Perform unit testing, integration testing, debugging and performance optimisation.
• Monitor and troubleshoot application performance and production issues.
• Implement appropriate security, authentication, logging and error-handling mechanisms.
• Containerise and deploy applications using Docker and cloud environments.
• Participate in code reviews and contribute to application architecture and technical design.
• Collaborate with Product Managers, AI/ML Engineers, frontend developers and other stakeholders throughout the development lifecycle.
• Maintain technical documentation and support continuous improvement of development practices.

Requirements

• Degree in Computer Science, Software Engineering, Information Technology or a related discipline.
• Relevant experience in backend/software development, with strong hands-on programming experience in Python.
• Experience with Python backend frameworks such as FastAPI, Flask or Django.
• Strong understanding of REST APIs, microservices and backend application architecture.
• Hands-on experience developing or integrating LLM, Generative AI or chatbot applications.
• Familiarity with LLM platforms/models such as OpenAI, Azure OpenAI, Anthropic, Gemini, Llama or equivalent.
• Experience with RAG, embeddings, semantic search and vector databases would be highly advantageous.
• Familiarity with AI/LLM frameworks such as LangChain, LlamaIndex or equivalent would be beneficial.
• Experience working with relational and/or NoSQL databases such as PostgreSQL, MySQL, MongoDB or Redis.
• Good understanding of Git, CI/CD, Docker and cloud environments.
• Experience with AWS, Azure or GCP would be advantageous.
• Knowledge of authentication, application security and secure API development.
• Strong software engineering fundamentals, including data structures, testing, debugging and system design.
• Strong analytical and problem-solving skills with the ability to work effectively in cross-functional teams.

Key Technical Skills

Python | FastAPI / Flask / Django | REST API | Backend Development | LLM | Generative AI | Chatbot | RAG | Prompt Engineering | Embeddings | Vector Database | LangChain / LlamaIndex | SQL / NoSQL | Docker | CI/CD | AWS / Azure / GCP

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 looking for an experienced Database Administrator (DBA) with strong hands-on expertise in MongoDB administration and database performance tuning. The successful candidate will be responsible for maintaining reliable, secure, highly available and high-performing database environments supporting business-critical applications.

• Working Hours: Mon-Fri
• Working Location: Central (on-site)
• Salary Package: Up to $7,500 (basic) + AWS +VB 

Key Responsibilities

• Administer, configure, maintain and support MongoDB databases across development, testing and production environments.
• Monitor database health, availability, capacity and performance to ensure stable operations.
• Perform database performance tuning, identifying and resolving performance bottlenecks, slow queries and resource constraints.
• Analyse and optimise queries, indexes, execution behaviour and database configurations to improve application and database performance.
• Configure and manage MongoDB Replica Sets and sharded environments to support high availability and scalability.
• Perform database installation, configuration, upgrades, patching and migrations.
• Develop and maintain appropriate backup, restore and disaster recovery (DR) procedures.
• Troubleshoot database incidents, outages, replication issues and performance degradation, including root cause analysis and preventive actions.
• Conduct regular database health checks and capacity planning to support future growth.
• Implement and maintain database security, authentication, authorisation and access controls.
• Support application releases, deployments and database changes while minimising production impact.
• Automate routine database administration and monitoring activities using scripting where applicable.
• Work closely with application developers, infrastructure, cloud and DevOps teams to troubleshoot issues and improve database performance.
• Maintain database configurations, operational procedures, technical documentation and support runbooks.
• Provide production support and participate in standby/on-call support where required.

Requirements

• Bachelor Degree in Computer Science, Information Technology, Engineering or a related discipline.
• Relevant experience in Database Administration, preferably supporting enterprise or production environments.
• Strong hands-on experience with MongoDB administration.
• Good understanding of MongoDB architecture, Replica Sets, sharding, indexing and replication.
• Strong experience in database performance monitoring, troubleshooting and performance tuning.
• Experience analysing and optimising slow queries, indexing strategies and database resource utilisation.
• Knowledge of High Availability (HA), backup/recovery and Disaster Recovery (DR) concepts.
• Experience with database upgrades, patching and migration activities.
• Good knowledge of Linux/Unix environments.
• Scripting or automation experience using Python, Bash/Shell or equivalent would be advantageous.
• Exposure to cloud database environments such as AWS, Azure or GCP would be advantageous.
• Experience with MongoDB Atlas, Ops Manager or database monitoring tools would be an advantage.
• Exposure to other relational or NoSQL databases such as PostgreSQL, MySQL, Microsoft SQL Server, Oracle, Redis or Cassandra would be beneficial.
• Strong troubleshooting, analytical and problem-solving skills.
• Ability to work independently and collaborate effectively with cross-functional technical teams.

Key Technical Skills

MongoDB | Database Administration | Performance Tuning | Query Optimization | Indexing | Replica Sets | Sharding | High Availability | Backup & Recovery | Disaster Recovery | Linux/Unix | Database Monitoring | Production Support | Python/Bash

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

-

• Passionate in cultivating relationship with different stakeholders from whole-of-government to drive adoption on AI related products
• Exploring multiple innovative products delivery across web solutions
• Hybrid work arrangement with supportive team members

Our team is spearhead the digital transformation, especially on AI related products that powered by Machine Learning & Artificial Intelligence. 
We are hiring for an individual to run marketing campaigns and events to drive our product adoption rate.

• Salary up to $10k + AWS
• Comprehensive employment benefits (up to 21 days AL, medical coverage, etc)

Responsibilities:

1. Engage with different government agencies to strategizing & planning, driving adoption, executing marketing campaigns & events.
2. Evaluate and pinpoint the sustained competitive advantages of our product offerings amid a swiftly changing marketplace characterized by intense competition, rapid technology advancements, and a dynamic regulatory environment. 
3. Work closely with Product Managers to develop and mold comprehensive go-to-market strategies.
4. Organize events, workshops, webinars and build business use cases for potential opportunities, and generate insightful recommendations regarding strategic possibilities and operational efficiency. 
5. Build the brand and awareness of the AI product.

Requirements:

• Experience in digital marketing such as email marketing, content marketing, social media marketing, marketing analytics, web search, and AI.
• Capable in understanding technical concepts in IT product management. 
• Excellent time management, marketing strategy & plan.

If you’re ready to lead impactful government projects and advance your career in a forward-thinking environment, submit your resume today! 
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).

Ng Kee Hung (Vickus) - R2091423
ScienTec Consulting Pte Ltd - 11C5781

We are looking for a Software Engineer to design and build scalable digital products and AI-enabled solutions. You will work across frontend, backend and applied AI development, contributing throughout the software development lifecycle, from solution design and prototyping to deployment and production support.

Why Join Us:

• Contribute to Government Projects
• Hybrid Work Arrangements
• Up to S$10,000 + AWS

Key Responsibilities:

• Design, develop and maintain scalable, reliable and maintainable software applications.
• Build full-stack features across frontend interfaces, backend services, APIs and databases.
• Develop applied AI solutions using LLMs, RAG, tool calling, structured outputs and agent-based workflows.
• Establish evaluation, monitoring, validation and fallback mechanisms to improve AI system reliability.
• Implement CI/CD pipelines for automation and AI services deployment
• Develop and integrate RESTful APIs with internal and external systems

To Succeed:

• Relevant experience in software engineering, full-stack development or applied AI engineering
• Strong proficiency in modern technologies such as React, TypeScript and Node.js
• Experience building and integrating RESTful APIs and backend services
• Practical experience developing LLM-powered applications or AI workflows
• Understanding of software testing, CI/CD and agile engineering practices
• Experience with Serverless tools, containers or AWS (Amazon Web Services)

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 a Cloud Infrastructure Engineer to build secure, cloud-native applications that power next-generation government digital initiatives.

You will be part of the IT team, working closely with the Applications team to design and implement secure, scalable, and resilient Microsoft Azure infrastructure supporting critical government systems and digital services.

Why Join:

• Contribute to Government Projects
• Hybrid Work Arrangements
• Up to S$10,000 + AWS

What you'll do:

• Design and manage secure Microsoft Azure cloud infrastructure aligned with government standards such as IM8 and Zero Trust
• Oversee cloud-hosted applications to ensure high availability, performance, and reliability
• Support CI/CD, DevOps, and automation initiatives to improve operational efficiency and reduce manual work
• Implement monitoring, logging, and observability solutions, and manage incidents, problems, and changes using ITIL processes
• Ensure security, governance, and audit compliance, including conducting root cause analysis and preventive measures for recurring issues

Requirements

• Experience in cloud infrastructure engineering, with a good understanding of Azure services (e.g., Compute, Networking, Storage, Identity & Access Management).
• Familiarity with ITIL service management processes, including Incident, Problem, and Change Management
• Experience with observability tools (e.g. Azure Monitor, Log Analytics, Grafana) and container technologies (e.g. Docker, Kubernetes)
• Strong analytical, troubleshooting, and problem-solving skills
• Good communication skills and the ability to work effectively with multiple stakeholders

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

Employment Type: Full time contract (1 year renewable with chances of conversion) 
Working Hours: Monday to Thursday (8.30am - 6pm), Friday (8.30am - 5.30pm)
Working Location: One-North
Salary: Up to SGD 9,000 

We are seeking an experienced Senior DData Analyst to drive the development and implementation of enterprise data and analytics solutions. You will lead a team of Data Analysts and work closely with product owners, business stakeholders, data engineers and technology teams throughout the full product development lifecycle—from identifying business problems and conceptualising use cases to developing, deploying and maintaining production-ready solutions.

A key focus of this role is developing customised reports by integrating data from enterprise resource planning and other corporate systems using modern cloud-based data platforms and visualisation tools.

Key Responsibilities

• Lead and manage Data Analysts within an Agile product team, supporting the full development lifecycle from conceptualisation to production deployment.
• Partner with business stakeholders to identify operational challenges, gather requirements and translate business needs into end-to-end data and analytics solutions.
• Design and deliver solutions covering use-case formulation, data pipelines, proof-of-concepts, analytical models, reporting and production implementation.
• Develop customised reports by consolidating data from enterprise systems, including SAP S/4HANA, SAP Ariba and SAP Analytics Cloud.
• Leverage cloud-native analytics technologies such as Azure Data Factory, Snowflake and Databricks to process, transform and integrate enterprise data.
• Develop dashboards and reports using Power BI, Tableau or other data visualisation tools for business users and downstream systems.
• Collaborate with business, technology, data engineering and policy teams to enhance the enterprise analytics platform, tooling and reusable data assets.
• Track, validate and continuously improve the accuracy, performance and business impact of analytical solutions.
• Provide operational support and ongoing maintenance for data and analytics platforms, infrastructure and deployed solutions.
• Promote the adoption of advanced analytics capabilities, industry best practices and reusable frameworks across the organisation.
• Curate and conduct training sessions and workshops to strengthen data analytics and data science capabilities among users and analytics professionals.
• Perform other related responsibilities in support of departmental and organisational objectives.

Job Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Business Analytics, Data Science, Artificial Intelligence or a related discipline. Relevant professional certifications may also be considered.
• At least 10 years of experience conceptualising, developing and implementing advanced analytics or data science solutions to address business problems.
• Demonstrated experience leading Data Analysts or managing data and analytics workstreams within an Agile product environment.
• Strong experience engaging business users, gathering requirements and translating business needs into scalable technical solutions.
• Ability to articulate solution frameworks, analytical outputs, business decisions and potential impact to encourage solution adoption.
• Good understanding of analytics and machine learning platforms and their integration with upstream data sources, downstream applications and production systems.
• Hands-on proficiency in SQL and R and/or Python.
• Experience with advanced analytics, machine learning packages and data visualisation tools such as Power BI or Tableau.
• Experience with enterprise systems such as SAP S/4HANA, SAP Ariba or SAP Analytics Cloud would be advantageous.
• Familiarity with data and analytics platforms such as Azure Data Factory, Snowflake or Databricks is preferred.
• Experience with Microsoft Azure, AWS and/or Google Cloud Platform would be 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.
         
Wong Siew Ting (Maeve) - R25127375
ScienTec Consulting Pte Ltd - 11C5781