Role Overview

We are looking for a Senior Backend Engineer to contribute to the development, enhancement, and operational stability of a modern digital platform.

This role is ideal for experienced engineers who enjoy building scalable backend services, solving complex technical challenges, and working within distributed systems.

You will collaborate closely with technical, product, and infrastructure teams to deliver reliable, high-performing solutions in a cloud-native environment.

Key Responsibilities

• Design, develop, and maintain backend services and APIs.

• Build scalable and reliable microservices using Golang.

• Contribute to system performance, reliability, and scalability improvements.

• Troubleshoot and resolve application and production issues.

• Participate in code reviews and technical discussions.

• Optimize database performance, including query tuning and indexing.

• Develop and maintain event-driven and asynchronous processing workflows.

• Collaborate with DevOps and infrastructure teams on deployment, monitoring, and operational excellence.

• Ensure code quality, maintainability, and operational readiness.

• Deliver assigned features and technical solutions independently.

Requirements

Technical Skills

• Strong experience developing production-grade applications using Golang.

• Experience designing and building RESTful APIs and microservices.

• Solid understanding of concurrency and asynchronous processing concepts.

• Strong SQL knowledge with experience in PostgreSQL or other relational databases.

• Experience with event-streaming or messaging platforms such as Kafka.

• Hands-on experience troubleshooting and resolving application issues.

• Familiarity with cloud platforms such as AWS, Azure, or equivalent.

• Experience with containerization and orchestration technologies, including Docker and Kubernetes.

• Experience working with distributed systems or large-scale applications.

Preferred Qualifications

• Knowledge of Java.

• Exposure to observability and monitoring tools such as Datadog, Sentry, or similar platforms.

• Familiarity with Infrastructure-as-Code tools such as Terraform.

• Experience in mobility, IoT, connected devices, or digital platform environments.

• Familiarity with industry-standard integration protocols and APIs.

• Experience working with real-time data processing or device-connected applications.

What You'll Work On

• Distributed and event-driven architectures.

• Real-time and asynchronous processing workflows.

• Highly available and scalable backend systems.

• Integrations with external platforms and third-party services.

• Performance optimization, monitoring, and operational excellence initiatives.

• Continuous platform enhancement and technology evolution.

What We Value

• Strong sense of ownership and accountability.

• Effective collaboration across cross-functional teams.

• Proactive problem-solving and continuous improvement mindset.

• Commitment to writing clean, maintainable, and high-quality code.

• Active participation in technical discussions and knowledge sharing.

• Focus on reliability, scalability, and long-term sustainability of systems.

Why Join Us

• Opportunity to work on modern, large-scale backend systems.

• Exposure to distributed architectures, real-time processing, and cloud-native technologies.

• Solve meaningful technical challenges with real-world impact.

• Contribute directly to critical business platforms and services.

• Work alongside experienced engineers in a collaborative and growth-oriented environment.

• Gain hands-on experience with event-driven systems, scalable microservices, and modern engineering practices.

Role Overview

We are seeking a Full-Stack Engineer with strong software engineering capabilities and practical experience in AI-powered application development. The successful candidate will be involved in the full software development lifecycle, from requirements gathering and solution design to implementation, testing, deployment, and ongoing support.

This role offers the opportunity to work on modern digital solutions incorporating AI, Large Language Models (LLMs), intelligent automation, and enterprise-grade applications.

Key Responsibilities

Business & Solution Analysis

• Analyse business requirements and identify suitable technology solutions.

• Gather, document, and refine functional and technical requirements.

• Evaluate alternative approaches and recommend optimal solutions.

• Collaborate with stakeholders to clarify requirements and obtain solution acceptance.

• Assess enhancement requests and evaluate their impact on existing systems.

Application Development

• Design, develop, and deliver high-quality software applications.

• Build scalable backend services, APIs, and full-stack solutions.

• Integrate AI and LLM capabilities into business applications and workflows.

• Develop and maintain technical architecture and design documentation.

• Ensure software quality through code reviews, testing, and engineering best practices.

Quality Assurance & DevOps

• Support the development of automated testing and quality assurance processes.

• Troubleshoot defects and implement timely bug fixes.

• Contribute to CI/CD pipelines and deployment automation.

• Collaborate with DevOps teams to improve build, release, and operational processes.

Support & Operations

• Support deployment activities and user adoption of new solutions.

• Investigate system issues and implement effective resolutions.

• Improve system reliability and establish preventive measures to reduce recurring incidents.

• Ensure compliance with organisational IT governance, quality, and security standards.

Requirements

Education

• Diploma or Degree in Computer Science, Information Technology, Computer Engineering, Electronics Engineering, or a related discipline.

Technical Skills

• Strong proficiency in Python development.

• Experience building backend APIs using frameworks such as FastAPI.

• Solid understanding of software engineering principles, data structures, and system design.

• Experience integrating with REST APIs and external services.

• Familiarity with software testing, debugging, and performance optimisation.

AI & Large Language Models (LLM)

• Strong understanding of LLM concepts, including:

  • Tokenisation

  • Context windows

  • Prompt engineering

  • API integration with AI platforms

• Experience working with AI platforms such as:

  • OpenAI

  • Anthropic

  • Google Gemini

  • AWS Bedrock

• Hands-on experience building AI-powered applications and workflows.

Agentic AI & RAG

• Experience developing AI agents and autonomous workflows.

• Familiarity with orchestration frameworks such as:

  • LangChain

  • LangGraph

  • LlamaIndex

• Experience implementing Retrieval-Augmented Generation (RAG) solutions.

• Knowledge of vector databases such as:

  • Pinecone

  • Weaviate

  • FAISS

• Understanding of embeddings, semantic search, and external knowledge retrieval techniques.

Enterprise Application Experience (Preferred)

• Experience with enterprise application platforms is advantageous.

• Experience integrating AI capabilities into enterprise workflows will be highly regarded.

• Exposure to at least one complete software development lifecycle project is preferred.

Cloud & Modern Engineering Practices

Experience in one or more of the following areas:

• Agile software development methodologies

• CI/CD pipelines and DevOps practices

• Cloud platforms (AWS, GCP, Azure, or equivalent)

• Serverless architectures

• Docker and container technologies

• Microservices architecture

Additional Preferred Experience

• Business Analysis or consulting experience.

• Experience delivering medium to large-scale enterprise projects.

• Knowledge of:

  • RESTful services

  • Secure file transfer solutions

  • Application security principles

  • System integration patterns

• Experience facilitating requirements workshops and translating requirements into Agile user stories and acceptance criteria.

• Experience supporting SIT, UAT, and production deployment activities.

Personal Attributes

• Self-motivated and able to work independently.

• Strong analytical and problem-solving skills.

• Excellent communication and stakeholder management skills.

• Strong collaboration and teamwork mindset.

• Effective presentation, facilitation, and listening skills.

• Passion for emerging technologies, AI innovation, and continuous learning.

Why Join Us

• Work on innovative AI and intelligent automation initiatives.

• Gain hands-on experience with LLMs, AI agents, and Retrieval-Augmented Generation (RAG) technologies.

• Contribute to enterprise-scale digital transformation projects.

• Collaborate with multidisciplinary teams in a dynamic and technology-driven environment.

• Opportunity to grow your expertise in cloud-native architectures, modern software engineering, and next-generation AI solutions.

Role Overview

We are seeking an experienced Software Engineer to support the enhancement, maintenance, and expansion of enterprise-grade Generative AI applications and agent orchestration platforms.

The successful candidate will contribute across both frontend and backend technologies, working on AI-enabled applications, enterprise platform services, analytics capabilities, and secure application architecture. This role involves close collaboration with AI engineers, product stakeholders, and platform teams to deliver scalable and secure digital solutions.

Key Responsibilities

Platform and Application Development

• Design, develop, and maintain enterprise application modules across frontend and backend systems.

• Lead the development of user management capabilities, including authentication, authorisation, session management, single sign-on (SSO), and access control mechanisms.

• Design and implement analytics dashboards and operational reporting capabilities.

• Support the evolution of platform architecture and application capabilities in accordance with business and technical requirements.

Marketplace and Access Management

• Design and develop application components supporting internal AI capability marketplaces.

• Implement role-based access control (RBAC), tenant isolation, and permission management frameworks.

• Enable secure publishing, sharing, versioning, and management of AI-enabled assets, datasets, document-based chat applications, and reusable platform capabilities.

Generative AI Integration and User Experience

• Collaborate with AI engineering teams to integrate AI agents, orchestration services, and intelligent workflows.

• Design and implement dynamic user interface components supporting AI-generated content and workflow-driven interactions.

• Support integration with external APIs, AI services, and enterprise platforms.

Analytics and Data Visualisation

• Develop solutions for tracking application usage, AI service consumption, user engagement, and operational performance metrics.

• Design and implement dashboards and visualisation capabilities to support business and operational decision-making.

• Contribute to future data platform and analytics initiatives.

Database and Application Architecture

• Design, implement, and maintain relational database solutions using PostgreSQL.

• Develop database schemas supporting workflow management, application state management, permissions, and user interactions.

• Ensure scalability, performance, and maintainability of backend services and data structures.

Security and Compliance

• Implement secure application development practices, including input validation, access controls, encryption, and secure token management.

• Support compliance with enterprise security, governance, and privacy requirements.

• Contribute to the design and maintenance of secure application architectures.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• At least 5 years of software engineering experience covering both frontend and backend development.

• Advanced experience with React and Next.js, including modern frontend architecture and state management approaches.

• Strong expertise in Python and FastAPI, including asynchronous programming and API development.

• Strong experience designing and managing PostgreSQL database solutions and relational data models.

• Practical experience with AWS cloud services such as S3, IAM, Lambda, DynamoDB, or equivalent cloud technologies.

• Experience developing secure, scalable, and maintainable enterprise applications.

Preferred Experience

• Experience with data analytics platforms, reporting solutions, or internal business applications.

• Experience integrating Large Language Models (LLMs), AI services, or Generative AI platforms.

• Experience with AWS Bedrock, AI APIs, or equivalent AI technologies.

• Experience with data visualisation frameworks such as Recharts, D3.js, Chart.js, or similar technologies.

• Experience working within highly regulated, security-sensitive, or compliance-driven environments.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

Role Overview

We are seeking a Systems Engineer to support the design, development, enhancement, and maintenance of enterprise application systems. The successful candidate will work closely with business users, vendors, and internal stakeholders to deliver application solutions, support operational requirements, and leverage AI-enabled tools to improve software development, data processing, and reporting capabilities.

Key Responsibilities

• Design, develop, maintain, and support enterprise application systems.

• Work closely with users, vendors, and internal stakeholders to gather requirements, perform analysis, develop solutions, conduct testing, and support implementation activities.

• Deliver software development and enhancement activities in accordance with project timelines and quality standards.

• Collaborate with cross-functional teams and provide technical support and knowledge sharing where required.

• Implement and support service requests related to internal business applications.

• Provide application support to internal users and external stakeholders.

• Utilise AI-enabled development tools to improve software development productivity, code quality, testing, and troubleshooting activities.

• Apply AI and machine learning tools to support data processing, analytics, and reporting initiatives.

• Support the implementation of AI-enabled solutions to improve ETL processes and reporting workflows.

• Ensure the appropriate, secure, and compliant use of AI tools in accordance with organisational IT and cybersecurity policies.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Information Technology, Software Engineering, or a related discipline.

• At least 3 years of experience in software development and application support.

• Hands-on experience with Oracle PL/SQL, C#, .NET, Python, and scripting in Windows and/or Linux environments.

• Experience in ETL frameworks and data warehouse implementation.

• Knowledge of Secure Software Development Life Cycle (SSDLC) practices.

• Familiarity with semiconductor industry processes will be an advantage.

• Experience with Business Intelligence tools such as Tableau or Microsoft Power BI.

• Experience using AI-assisted development tools will be advantageous.

• Exposure to machine learning, intelligent automation, or data processing technologies is beneficial.

Skills and Technical Competencies

• Strong troubleshooting, analytical, and problem-solving capabilities.

• Good understanding of database technologies, SQL, and data access methodologies.

• Experience in requirements gathering and business analysis activities.

• Familiarity with AI-enabled tools and technologies supporting software development and reporting.

• Understanding of data-driven decision-making and reporting processes.

Additional Information

• Ability to support application deployments, maintenance activities, and incident resolution when operational requirements arise.

• Ability to work effectively with stakeholders across different functions and technology teams.

• Willingness to learn and apply emerging technologies, including AI-enabled development tools and automation technologies.

Role Overview

We are seeking an experienced Backend Engineer with strong expertise in Generative AI technologies to join our growing AI engineering team. This role focuses on designing, developing, and maintaining scalable backend services, AI orchestration frameworks, and cloud-native AI solutions that support enterprise-grade AI applications.

The successful candidate will contribute to the development of intelligent agent frameworks, Retrieval-Augmented Generation (RAG) solutions, AI marketplaces, and secure AI-enabled services while collaborating closely with product, frontend, and platform engineering teams.

Key Responsibilities

AI Orchestration and Agent Development

• Design and develop orchestration frameworks for AI agents using Python-based technologies and cloud-native AI services.

• Develop, integrate, and maintain reusable AI capabilities, agent workflows, and third-party API integrations.

• Support the onboarding and lifecycle management of agent capabilities and automation services.

Advanced RAG and Cloud Integration

• Design, implement, and optimise Retrieval-Augmented Generation (RAG) architectures.

• Integrate Large Language Models (LLMs), embedding models, and enterprise knowledge sources within cloud environments.

• Manage retrieval strategies, context management, and performance optimisation for AI applications.

Platform and Marketplace Development

• Design and develop backend services supporting AI capability marketplaces and knowledge-sharing platforms.

• Enable secure publishing, versioning, management, and governance of datasets, AI agents, document-based chat applications, and reusable AI capabilities.

Backend and API Engineering

• Architect, develop, and maintain scalable backend services and APIs.

• Design and manage relational database solutions, including PostgreSQL, to support application data and workflow management.

• Ensure high availability, performance, maintainability, and scalability of backend systems.

Vector Search and Data Engineering

• Design and optimise vector search, retrieval systems, and search infrastructure.

• Manage vector databases, search platforms, and indexing strategies to improve retrieval accuracy, relevance, and performance.

Agent Observability and Evaluation

• Implement monitoring, telemetry, and observability capabilities for AI applications and agent workflows.

• Develop evaluation frameworks to assess AI outputs, application performance, reliability, and quality.

• Support initiatives to improve model performance and reduce inaccurate or undesired outputs.

AI Security and Governance

• Implement security controls for AI applications, including access controls, data protection measures, content filtering, and secure integration practices.

• Ensure compliance with enterprise security, governance, privacy, and regulatory requirements.

• Support the responsible use of AI technologies through risk management and governance frameworks.

Data Pipelines and Platform Support

• Design and maintain data ingestion, transformation, and processing pipelines supporting AI applications and knowledge systems.

• Support data preparation workflows and integration with vector databases and enterprise data platforms.

Cross-Functional Collaboration

• Work closely with frontend engineers, designers, product teams, and platform engineers to deliver end-to-end AI-enabled solutions.

• Participate in architecture reviews, technical discussions, and continuous improvement initiatives.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• At least 5 years of software engineering experience with strong expertise in backend development, API design, and distributed systems architecture.

• Hands-on experience building AI-enabled applications using frameworks such as LangChain, LlamaIndex, LangGraph, or equivalent technologies.

• Experience working with managed Large Language Model (LLM) platforms and AI services.

• Strong familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.

• Experience with AI services including AWS Bedrock, OpenSearch, or equivalent cloud-native AI technologies will be advantageous.

• Strong experience with PostgreSQL and relational database systems.

• Familiarity with vector database technologies, semantic search, and retrieval systems.

• Experience developing secure, scalable, and production-grade software solutions.

• Understanding of modern frontend technologies such as React and Next.js.

• Experience using AI-assisted software development tools while maintaining software quality, security, and maintainability standards.

Preferred Experience

• Experience with workflow automation platforms such as n8n, Flowise, or similar technologies.

• Experience with AI observability, monitoring, and evaluation tools.

• Experience working within environments requiring strict security, governance, privacy, or regulatory compliance standards.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

Role Overview

We are seeking a Data Engineer to design, develop, and maintain scalable, secure, and reliable data platforms and pipelines that support business and operational needs. The successful candidate will work closely with stakeholders, engineers, and data stewards to deliver high-quality data products while ensuring strong governance, security, and operational excellence.

Key Responsibilities

Data Pipeline Development and Architecture

• Translate business and data requirements into technical specifications and scalable data solutions.

• Develop and maintain data products as part of a cross-functional data team.

• Design, build, and optimise data ingestion pipelines to collect, transform, integrate, and harmonise data from multiple source systems.

• Design, develop, test, and maintain reusable data models to support reporting, analytics, and operational use cases.

• Implement secure and efficient mechanisms for users and applications to access enterprise data assets.

• Evaluate and implement new technologies, tools, and processes to enhance data infrastructure capabilities and performance.

Data Quality, Testing and Validation

• Develop and implement data quality controls and validation processes to ensure data accuracy, completeness, and consistency.

• Design, execute, and maintain test cases for data pipelines, including functional, regression, and exploratory testing.

• Build and maintain automated testing frameworks to improve data reliability and reduce production defects.

• Perform data reconciliation and integrity testing to validate end-to-end data processing and transformation workflows.

• Support User Acceptance Testing (UAT) activities by working with stakeholders to validate business requirements and expected outcomes.

Operations, Governance and Continuous Improvement

• Monitor and maintain databases, ETL processes, and data platforms, including performance optimisation, troubleshooting, capacity planning, and operational support.

• Collaborate with technology teams and stakeholders to align infrastructure, security, and platform requirements.

• Support the implementation and enforcement of data governance policies, standards, and best practices.

• Maintain data catalogues, metadata repositories, and data lineage documentation.

• Implement data security controls, including access management, encryption, masking, and other data protection measures.

• Drive continuous improvements in CI/CD, DevOps, and Site Reliability Engineering (SRE) practices.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• Strong understanding of system design principles, data structures and algorithms, data modelling, data access patterns, and data storage technologies.

• Experience designing, building, and maintaining batch and real-time data pipelines.

• Hands-on experience with workflow orchestration tools such as Apache Airflow and Azure Data Factory.

• Proficiency in Python, SQL, and Shell scripting.

• Experience working with cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform (GCP).

• Experience with Databricks.

• Experience implementing data quality frameworks, validation processes, and testing methodologies for data pipelines.

• Familiarity with automated testing approaches and integration within CI/CD environments.

• Experience with issue tracking and test management tools such as JIRA or equivalent platforms.

• Familiarity with CI/CD pipelines and DevOps practices.

• Experience using DevOps tools such as Docker, Git, and Terraform.

• Experience implementing solutions that support data security, data quality, and data governance requirements.

Preferred Experience

• Familiarity with government-sector data management, governance, infrastructure, and security frameworks.

• Experience in climate, weather, environmental, or geospatial data domains will be advantageous.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

Role Overview

We are seeking an experienced DevSecOps Engineer to support the security, reliability, scalability, and operational excellence of enterprise-grade Generative AI platforms and cloud-native applications.

The successful candidate will be responsible for managing cloud infrastructure, deployment pipelines, platform security, system reliability, and operational processes while supporting the continued evolution of modern cloud and container platforms.

Key Responsibilities

Cloud Infrastructure and Platform Engineering

• Design, implement, manage, and optimise cloud infrastructure environments supporting enterprise applications and AI workloads.

• Maintain and enhance containerised workloads running on AWS ECS and support the planning, deployment, and administration of Kubernetes environments using AWS EKS or equivalent technologies.

• Support infrastructure scalability, availability, performance, and operational efficiency.

AWS Platform Administration

• Provision, configure, and manage AWS services supporting application platforms, including databases, search services, AI services, networking, and load balancing components.

• Administer cloud infrastructure services including Amazon RDS, OpenSearch, Bedrock, ELB, and related platform services.

• Monitor cloud resource utilisation and implement optimisation initiatives where appropriate.

Security, Access Control and Network Management

• Implement and maintain security controls across cloud and application environments.

• Manage identity and access management (IAM), role-based access controls (RBAC), and network security policies.

• Support secure network architectures and controlled-access environments in accordance with organisational security requirements.

• Collaborate with stakeholders to ensure compliance with enterprise security standards and governance frameworks.

System Reliability and Disaster Recovery

• Establish and maintain monitoring, logging, alerting, and observability capabilities across infrastructure and platform environments.

• Support incident response, troubleshooting, root-cause analysis, and service recovery activities.

• Design, implement, and maintain backup, recovery, and disaster recovery strategies.

• Support platform resilience, business continuity, and operational readiness initiatives.

CI/CD and Automation

• Design, implement, and maintain CI/CD pipelines supporting secure software delivery practices.

• Integrate security testing, vulnerability scanning, and compliance checks within deployment pipelines.

• Support automation initiatives through Infrastructure as Code (IaC), configuration management, and deployment automation technologies.

Compliance and Vulnerability Management

• Support vulnerability assessment, remediation, patch management, and security improvement activities.

• Coordinate penetration testing activities and remediation of identified findings.

• Maintain technical documentation and support audit, compliance, and governance requirements.

• Ensure infrastructure and deployment processes align with organisational security standards and policies.

Infrastructure Transition and Knowledge Transfer

• Collaborate with internal teams and external partners to document, transition, and optimise existing infrastructure environments.

• Support infrastructure knowledge transfer, operational readiness, and long-term platform sustainability.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Information Technology, Software Engineering, Cybersecurity, or a related discipline.

• At least 3 years of experience in DevOps, DevSecOps, Cloud Engineering, Platform Engineering, or related roles.

• Strong hands-on experience with AWS infrastructure, networking, and cloud services.

• Experience managing containerised workloads using AWS ECS and familiarity with Kubernetes administration, including AWS EKS or equivalent platforms.

• Strong understanding of secure network architecture, identity and access management, vulnerability management, and infrastructure security practices.

• Experience building and maintaining CI/CD pipelines, preferably using GitLab CI/CD or similar technologies.

• Experience with monitoring, logging, troubleshooting, backup management, and disaster recovery processes.

• Experience supporting production-grade cloud environments and operational platforms.

Preferred Experience

• Experience working in highly regulated, security-sensitive, or compliance-driven environments.

• Familiarity with government cloud environments, enterprise security frameworks, or industry compliance standards.

• Experience with Infrastructure as Code tools such as Terraform, AWS CloudFormation, or Ansible.

• Experience supporting AI, machine learning, analytics, or high-performance computing workloads.

• Familiarity with AI-enabled engineering and automation tools.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

Role Overview

We are seeking a Software Engineer, Quality & Platform (Generative AI) to support the quality, reliability, security, and performance of enterprise-grade AI applications and agent orchestration platforms.

This role combines software engineering, test automation, platform quality assurance, and Generative AI validation. The successful candidate will contribute to the establishment of testing frameworks, quality engineering practices, AI evaluation methodologies, and platform engineering capabilities. Over time, the role will expand into software development, platform enhancement, and data engineering initiatives.

Key Responsibilities

Quality Engineering and Test Automation

• Design, develop, and maintain automated testing frameworks for enterprise AI applications and platform services.

• Develop test strategies, test plans, and quality assurance processes covering application functionality, APIs, integrations, security, and user interfaces.

• Establish automated validation approaches for AI-generated outputs, Retrieval-Augmented Generation (RAG) solutions, and AI workflows.

• Design and maintain high-quality test datasets, synthetic test data, and evaluation scenarios while ensuring compliance with data privacy and security requirements.

• Evaluate AI application behaviour, model responses, prompt changes, and platform quality metrics.

API and Streaming Validation

• Design and execute automated tests for APIs, streaming services, and real-time application components.

• Validate application workflows, state transitions, error handling, timeout management, and integration reliability.

• Support testing of backend services and distributed system interactions.

Security and Platform Testing

• Validate role-based access controls, tenant isolation mechanisms, authentication workflows, and platform security controls.

• Perform testing of isolated execution environments, application sandboxing, and secure workflow execution.

• Support security validation activities and contribute to platform risk mitigation initiatives.

End-to-End Automation

• Design, develop, and maintain end-to-end automation frameworks using modern testing technologies.

• Validate user interface components, workflow interactions, document processing features, and application integrations.

• Ensure application quality across multiple environments and deployment stages.

CI/CD and Quality Governance

• Integrate automated testing frameworks within CI/CD pipelines.

• Establish quality controls and deployment validation processes to support reliable software delivery.

• Collaborate with engineering and DevSecOps teams to improve platform quality and deployment readiness.

Performance and Reliability Testing

• Develop and execute performance, load, scalability, and reliability testing activities.

• Monitor application performance characteristics and identify potential bottlenecks.

• Support optimisation efforts for AI services, APIs, and platform infrastructure.

Cross-Functional Engineering Responsibilities

• Contribute to software development activities, platform enhancements, and feature implementation as platform quality frameworks mature.

• Support data engineering, analytics, and platform initiatives where required.

• Promote quality engineering best practices and support development teams in implementing automated testing and validation approaches.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• At least 3 years of experience in Software Engineering, Quality Engineering, Test Automation, or Software Development Engineer in Test (SDET) roles.

• Strong programming skills in Python and JavaScript/TypeScript.

• Experience developing automated testing frameworks using tools such as Playwright, Cypress, Pytest, Postman, or equivalent technologies.

• Experience testing APIs, distributed systems, and cloud-native applications.

• Strong troubleshooting, debugging, and root-cause analysis capabilities.

• Experience working with containerised or distributed environments.

• Proficiency in SQL and relational database technologies, including PostgreSQL.

• Familiarity with cloud platforms and services, including AWS or equivalent cloud technologies.

• Experience handling test data management, synthetic data generation, and privacy-sensitive environments.

• Interest in Generative AI technologies, AI application testing, Retrieval-Augmented Generation (RAG), and AI platform quality assurance.

Preferred Experience

• Previous experience in software development, data engineering, analytics, or platform engineering.

• Experience with automated security testing tools and application security validation.

• Experience working in highly regulated, security-sensitive, or compliance-driven environments.

• Familiarity with AI evaluation, observability, monitoring, or model validation frameworks.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

We are seeking an experienced Fullstack Engineer to design, develop, and maintain scalable, cloud-native applications. The ideal candidate has a strong background in both frontend and backend development, hands-on experience with AWS, and a solid understanding of modern application architecture, including microservices and serverless designs.

Key Responsibilities
• Design, develop, test, and maintain fullstack applications with high reliability and performance
• Build and manage cloud-based solutions on AWS, leveraging services such as EC2, S3, Lambda, RDS, and DynamoDB
• Develop and maintain RESTful APIs and microservices for distributed systems
• Implement serverless and cloud-native architectures following best practices
• Collaborate with cross-functional teams including product managers, designers, and DevOps engineers
• Ensure application security, scalability, and performance through proper AWS networking, IAM, and security configurations
• Participate in code reviews, mentoring, and continuous improvement of engineering practices

Requirements
• At least 7 years of hands-on experience in fullstack software development
• Strong proficiency in one or more backend programming languages: Python, Java, or Node.js
• Solid experience with AWS services, including:
o EC2, S3, Lambda
o RDS and DynamoDB
• Strong understanding of cloud architecture, serverless design, and distributed systems
• Experience developing and consuming APIs in a microservices environment
• Proficiency with Git or similar version control systems
• Hands-on experience with containerization tools, especially Docker
• Good understanding of AWS networking, security best practices, and IAM

Nice to Have
• Experience with CI/CD pipelines and DevOps practices
• Familiarity with frontend frameworks such as React, Angular, or Vue
• Experience with Infrastructure as Code (e.g., Terraform, CloudFormation)
• Exposure to Agile or Scrum development environments

What We Offer
• Opportunity to work on scalable, modern cloud-based systems
• Collaborative and innovative engineering culture
• Career growth and learning opportunities

If you are passionate about building robust fullstack solutions and working with modern cloud technologies, we would love to hear from you.

Role Overview

• Responsible for building, operating, and optimizing technical systems

• Work closely with development teams to ensure product stability, security, and performance

Key Responsibilities

• Deploy, manage, and optimize applications built with Node.js, React.js, and Next.js

• Manage AWS cloud infrastructure and operate containerized applications using Docker

• Design, administer, and optimize databases including MySQL, PostgreSQL, and Redis

• Integrate and manage GitHub Copilot to enhance developer productivity

• Explore and implement Generative AI (GenAI) solutions across systems and applications

• Monitor system performance, troubleshoot issues, and ensure high system availability

• Collaborate with development, QA, and operations teams to streamline workflows

• Propose and apply DevOps and Technical Operations best practices

• Participate in shift rotation and standby duties to support business operations, including:

  • Monitoring systems and responding to incidents outside regular business hours

  • Providing timely responses to urgent alerts or service requests

  • Ensuring smooth handover between shifts and maintaining incident documentation

Requirements

Education & Experience

• Bachelor’s degree in Computer Science, Information Technology, or a related field

• Minimum 4 years of experience in Technical Operations, DevOps, or Backend Engineering

Technical Skills

• Proficiency in Node.js, React.js, and Next.js

• Hands-on experience with AWS services such as EC2, S3, Lambda, and RDS

• Strong knowledge of Docker and containerized environments

• Experience working with MySQL, PostgreSQL, and Redis

• Familiarity with GitHub Copilot in development workflows

• Exposure to Generative AI (GenAI) tools or projects is an advantage

Other Requirements

• Willingness to support shift rotations and after-hours operational support when required

• Strong problem-solving mindset

• Good communication and teamwork skills

Required Tech Stack Summary

Frontend

• Next.js 14

• React 18

• TypeScript

• Styled Components

• Life.sg React Design System v3

• React Hook Form

• React Leaflet

Backend

• Node.js + TypeScript

• Koa / Express

• MySQL (TypeORM)

• PostgreSQL

• Redis (ioredis)

• OpenSearch

• ActiveMQ

• AWS Services (Lambda, S3, SQS, RDS, ElastiCache)

Deployment

• Docker

• Docker Compose

• Terraform

• AWS

Testing

• Jest

• React Testing Library

• Supertest

• Playwright

• ESLint / Prettier

Accessibility

• Oobee (Accessibility Scanning)

• WCAG 2.1 Compliance

• Life.sg Design System v3

Authentication

• Singpass

• MyInfo Integration

• JWT (APEX Standards)

Build & Tools

• Node.js 22

• npm / lockfiles

• TypeScript

• Webpack

• Rollup

Role Overview
Our Digital Team aims to spearhead the digital transformation of large-scale enterprise and public sector systems.

The team was established to develop new capabilities focusing on strategic systems of engagement where ICT provides a differentiating factor to end users.

The team delivers digital information and transactional services leveraging Agile Application Development, Analytics, User Experience Design, Design Thinking, and Web Application Performance Optimisation.

Who We Are Looking For
We are seeking a capable and motivated Level 2 (L2) Application Support Engineer to join our operations and support team.

You will play a critical role in ensuring the stability, reliability, and performance of our production systems by investigating incidents, resolving complex technical issues, and working closely with engineering and infrastructure teams.

You will be part of a cross-functional team that values service reliability, operational excellence, automation, and continuous improvement in the systems we support.

Responsibilities

Incident & Application Support
• Provide second-line (L2) support for production and staging systems, handling escalations from L1 Support.
• Investigate application errors, system alerts, performance degradation, and integration issues.
• Restore services within agreed SLA/OLA timelines and ensure proper incident closure.

Troubleshooting & Root Cause Analysis
• Perform in-depth troubleshooting using logs, metrics, and monitoring tools.
• Conduct root cause analysis (RCA) for recurring or high-impact incidents.
• Propose and implement corrective and preventive actions to reduce incident recurrence.

Collaboration & Escalation
• Work closely with L3 engineers, DevOps, and vendors to resolve complex technical issues.
• Provide clear technical findings, logs, and evidence when escalating issues.
• Participate in incident bridges, post-incident reviews, and operational discussions.

Operational Excellence
• Monitor system health, alerts, dashboards, and logs to proactively identify issues.
• Execute approved configuration changes, patches, and operational fixes.
• Support deployment, release, and maintenance activities when required.

Automation & Continuous Improvement
• Contribute to automation of operational tasks, monitoring, and alerting where applicable.
• Identify gaps in runbooks, SOPs, and operational processes and drive improvements.

Documentation
• Maintain and update runbooks, troubleshooting guides, and knowledge base articles.
• Document incident resolutions and operational procedures clearly and accurately.

Role Overview
The Senior GIS Engineer / Tech Lead is the technical authority for a production Esri ArcGIS Enterprise environment supporting a Singapore government statutory board. This role leads complex service request delivery through the full software development lifecycle, owns platform administration for ArcGIS Enterprise and the underlying Microsoft SQL Server geodatabase, and leads incident resolution for critical production issues.

Embedded within this role is a DevSecOps remit — OWASP Top 10 reviews, secure coding practices, AES-256 encrypted data transfers, penetration test remediation, and code reviews. The Tech Lead also acts as the technical mentor for the GIS Support Engineer, drives architectural decisions, and maintains the technical design documentation for the platform.

Key Responsibilities

Service Request Delivery (Full Software Development Lifecycle)
• Lead the design, development, unit testing, UAT support, deployment, and documentation of complex service requests on the ArcGIS Enterprise platform.
• Prepare technical feasibility analyses, design specifications, and impact assessments for proposed changes.
• Perform change impact analysis, rollback planning, and deployment co-ordination with the client's infrastructure FM team.

ArcGIS Enterprise Platform Administration
• Administer the ArcGIS Enterprise Standard stack — Portal for ArcGIS, ArcGIS Server, ArcGIS Data Store, and Web Adaptor — including health monitoring, configuration, and version upgrades.
• Manage ArcGIS Pro (Creator and Professional) licences, user entitlements, and named-user provisioning.
• Maintain map services, REST API endpoints, layer publication, tile caches, and geoprocessing services.
• Own geodatabase management — schema design, spatial indexing, geodatabase compression and analysis, and performance tuning of SQL Server spatial workloads.
• Optimise map, data, and service performance so that map and data loading meets or exceeds the 60-second threshold in at least 90% of cases.

Incident Management (Sev-1 / Sev-2 Lead)
• Act as the technical incident commander for Severity 1 critical incidents; drive rapid bypass, full resolution, and permanent fix within contracted timelines.
• Lead Severity 2 investigation and resolution; co-ordinate with the client's FM team for any infrastructure-related issues.
• Author preliminary and full post-incident review reports, including cause analysis, corrective actions, and preventive measures.
• Track and update incident progress on the client's helpdesk support platform and associated trackers.

DevSecOps & Secure Engineering
• Integrate security into the SDLC — threat modelling for new features, OWASP Top 10 checks on all code, static analysis, and secure code reviews.
• Implement and maintain AES-256 encryption for classified data transfers over SFTP (including key management).
• Support independent penetration tests and vulnerability assessments; lead remediation of findings.
• Ensure the system is free from known vulnerabilities (injection, XSS, CSRF, broken authentication, insecure storage, insufficient transport layer protection, unvalidated redirects, and similar).
• Participate in and support security and compliance audits; provide technical evidence and remediation within agreed timelines.

Batch Jobs, REST APIs & Integrations
• Maintain scheduled batch jobs — monitoring, failure diagnosis, and root-cause resolution.
• Maintain REST API endpoints serving downstream systems; manage versioning, backward compatibility, and documentation.
• Co-ordinate with the client's infrastructure FM team, Esri support, and third-party vendors for integrated issue resolution.

Patch Management & Upgrades
• Assess ArcGIS Enterprise point releases, patches, and version upgrades; plan and execute upgrades with minimum disruption.
• Assess operating system (Windows Server 2019), database (SQL Server 2019), and browser/client software patches for compatibility and impact.
• Plan and co-ordinate scheduled solution downtime in line with the client's change management procedure.

UAT Environment & Test Support
• Maintain the ArcGIS Enterprise application layer on the UAT environment; refresh base test data sets and support end-to-end flow testing at no additional cost.
• Prepare and review UAT plans; ensure UAT acceptance criteria are met before production deployment.

Technical Leadership & Mentorship
• Serve as technical authority for all design and architecture decisions on the platform.
• Mentor the GIS Support Engineer; conduct peer code reviews and quality assurance on their deliverables.
• Monitor Esri release notes, industry trends, and platform updates; brief the client on new features and relevant roadmap items.
• Maintain and continuously improve the platform's technical documentation — functional specs, design specs, architecture diagrams, user guides, administration guides, and software inventories.

Key Requirements

Experience (Mandatory)
• Minimum 5 years of hands-on GIS application development and maintenance experience.
• At least 2 years of demonstrated experience working with Esri ArcGIS software (ArcGIS Enterprise and/or ArcGIS Pro).
• Experience leading Severity 1 incident resolution in a production environment with formal SLAs.
• Experience owning at least one end-to-end ArcGIS Enterprise deployment, upgrade, or major platform change.

Core Technical Skills
• Esri ArcGIS Enterprise Standard (v11.3 or above) — Portal, Server, Data Store, Web Adaptor; administration, map services, tile caches, and REST endpoints.
• Esri ArcGIS Pro — geoprocessing, map authoring, and geodatabase management.
• Microsoft SQL Server (2019 or above) — enterprise geodatabase, spatial indexing, query tuning, and maintenance.
• Windows Server 2019 operations — services, tasks, logs, and scripted administration.
• Core programming technologies: .NET (C#/ASP.NET), Python (ArcPy, scripting automation), JavaScript (incl. ArcGIS API for JavaScript), HTML, and T-SQL.
• Secure file transfer using SFTP with AES-256 file-level encryption; key management and secure data handling.
• Source control (e.g. Git), issue/change tracking, and helpdesk platforms for progress tracking.

Security & Governance
• Solid working knowledge of the OWASP Top 10 and secure coding practices for web applications.
• Experience supporting independent security audits, penetration tests, and remediation planning.
• Awareness of Singapore government ICT security policies, data classification handling, and change management disciplines.

Qualifications
• Bachelor's degree in Computer Science, Geographic Information Systems, Geomatics, Information Technology, Engineering, or a related discipline.
• Must be Singapore-based and eligible to work in Singapore.
• Able to obtain and maintain the relevant government security clearance for the engagement.

Personal Attributes
• Strong analytical and problem-solving skills; calm under pressure during critical incidents.
• Self-motivated; stays current with Esri releases, SQL Server updates, and related technology trends.
• Clear written and verbal English communication; comfortable writing technical documentation and incident reports.

Nice-to-Have Qualifications
• Esri certifications — ArcGIS Enterprise Administration Associate/Professional, ArcGIS Pro Professional, or ArcGIS Developer Professional.
• Microsoft SQL Server certifications (Azure Database Administrator Associate or equivalent).
• Certified Information Systems Security Professional (CISSP), CSSLP, or equivalent security certification.
• Experience with Government Commercial Cloud (GCC 2.0) or hardened intranet-zone deployments.
• Experience with ArcGIS Online, FME, or ETL tooling for spatial data.
• Familiarity with containerised or CI/CD-based deployment patterns.
• Prior DPTM (Data Protection Trustmark) or PDPA implementation experience.
• Experience supporting 24x7 on-call coverage for geospatial platforms.

Role Overview
The GIS Support Engineer provides the daily operational backbone for a production Esri ArcGIS Enterprise environment, delivering proactive monitoring, first-response incident handling, routine GIS administration, lower-complexity service request delivery, and embedded quality assurance. The role also owns operational documentation and provides on-call coverage in rotation with the rest of the technical team.

The GIS Support Engineer works closely with the Senior GIS Engineer / Tech Lead, who provides technical mentorship and code review, and escalates complex issues according to the agreed severity model.

Key Responsibilities

Daily Monitoring & Service Health
• Perform daily health checks on the ArcGIS Enterprise platform — Portal status, map service availability, REST API endpoints, and batch job runs.
• Maintain the operational dashboard; alert early on anomalies in service availability, response time, or batch job completion.
• Contribute to the 99.5% monthly system availability target through proactive monitoring and rapid first-response action.

Routine GIS Administration
• Create, author, publish, start, stop, and refresh map and geoprocessing services.
• Add, remove, and configure map layers; manage symbology, cartography, and scale dependencies.
• Create and manage cache for various layers and groups of layers; tile cache maintenance.
• Monitor and maintain spatial data currency and integrity; flag data issues to the Tech Lead.
• Optimise layers for performance; regular geodatabase compress and analyse runs as directed.

Service Request Delivery (Lower Complexity)
• Deliver service requests of smaller complexity (typically up to 3 man-days) end-to-end — analysis, implementation, testing, and documentation.
• Prepare and maintain functional specifications, design notes, user guides, and administration guides for delivered changes.
• Escalate higher-complexity service requests to the Senior GIS Engineer / Tech Lead with a clear handover.

Incident Response (Sev-2 / Sev-3 First Responder)
• Act as first responder for Severity 2 and Severity 3 incidents; acknowledge within the response window and drive initial diagnosis.
• Immediately escalate Severity 1 incidents to the Senior GIS Engineer / Tech Lead and Project Manager.
• Track and update incident progress and resolution on the client's helpdesk support platform.
• Co-operate with the client's infrastructure FM team for issues that cross the application/infrastructure boundary.

Batch Jobs & REST API Monitoring
• Monitor the scheduled batch jobs daily; raise alerts and perform first-level troubleshooting on failures.
• Perform daily REST API endpoint health checks; log response times and escalate anomalies.

UAT, Testing & Quality Assurance
• Prepare and refresh base test data sets for UAT and independent testing; support end-to-end flow testing.
• Execute test cases, log defects, track them through retest and closure, and maintain the defect register.
• Perform regression checks after service request deployments to production.

Documentation & Reporting
• Maintain operational documentation — administration guides, runbooks, service logs, and change records — after every change.
• Supply operational data (incident logs, service metrics, batch job history) to the Project Manager for the monthly progress report.

End-User Support & On-Call Coverage
• Respond to ad-hoc user queries and provide day-to-day guidance on the use of the system (approximately 20 active users).
• Participate in the on-call roster for out-of-hours support; maintain readiness to handle Emergency Service Requests.

Key Requirements

Experience (Mandatory)
• Minimum 2 years of hands-on experience supporting, administering, or developing on Esri ArcGIS software (ArcGIS Enterprise and/or ArcGIS Pro).
• Experience working within a formal service management process (incident, problem, change) with defined SLAs.
• Experience using a helpdesk or IT service management platform to log and track tickets.

Core Technical Skills
• Esri ArcGIS Enterprise (v11.x) — map services, Portal, layer publication, and basic server administration.
• Esri ArcGIS Pro — map authoring, geoprocessing, and geodatabase handling.
• Python (ArcPy and general scripting) for automation and data processing.
• Working knowledge of JavaScript, HTML, and the ArcGIS API for JavaScript for lightweight web map and widget work.
• Microsoft SQL Server basics — T-SQL queries, joins, indexing concepts, and spatial data types.
• Windows Server operations — services, tasks, logs, and basic PowerShell.
• Version control (Git), ticketing/helpdesk tools, and documentation tooling (e.g. Confluence, SharePoint, or equivalent).

Personal Attributes
• Strong attention to detail, disciplined operational habits, and a user-first mindset.
• Clear written and verbal English communication; able to document issues and solutions crisply.
• Willingness to participate in an on-call rotation and respond to out-of-hours incidents when required.
• Eagerness to learn — stays current on ArcGIS releases, SQL Server updates, and geospatial best practices.

Qualifications
• Diploma or Bachelor's degree in Computer Science, Geographic Information Systems, Geomatics, Information Technology, or a related discipline.
• Must be Singapore-based and eligible to work in Singapore.
• Able to obtain and maintain the relevant government security clearance for the engagement.

Nice-to-Have Qualifications
• Esri ArcGIS certifications (e.g. ArcGIS Pro Foundation, Enterprise Administration Associate).
• Microsoft SQL Server (e.g. Azure Database Administrator Associate) or comparable database certification.
• Exposure to .NET / C# development for ArcGIS customisations or add-ins.
• ISTQB Foundation (or similar) testing certification and experience with structured QA methodologies.
• ITIL v4 Foundation certification.
• Prior experience supporting Singapore government agencies or statutory boards.
• Awareness of OWASP Top 10 web application security risks.
• Familiarity with Government Commercial Cloud (GCC) or similar hardened cloud environments.

Job Purpose / Summary

• Be part of a high-performing, multi-disciplinary digital solutions division within our client’s organisation.
• Develop and maintain digital applications supporting policy and operations in Singapore’s social service sector.
• Support the organisation’s expanding digital platform capabilities through application development and system integration.
• Design, build, and maintain robust, scalable, secure, and user-friendly low-code applications.
• Enable efficient business operations, service delivery, and stakeholder engagement across digital products.

Key Responsibilities

• Assist in designing and developing web and mobile applications using the OutSystems platform.
• Collaborate with product teams, business analysts, and stakeholders to translate business requirements into technical solutions.
• Design, develop, and deploy user interfaces, workflows, and system integrations.
• Support application integrations across internal platforms and external systems.
• Maintain application architecture and infrastructure for operational, reporting, and analytical workloads.
• Implement application testing, validation, and optimisation to ensure quality and performance.
• Monitor applications and systems to detect issues and performance bottlenecks.
• Support the maintenance and enhancement of existing OutSystems applications.
• Troubleshoot and resolve application-related issues.
• Create and maintain application development documentation and system configuration records.

Job Requirements

Qualifications & Experience

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
• 3–5 years of experience in OutSystems solution delivery.
• Experience delivering applications for public sector projects is preferred.
• OutSystems certifications are an advantage.

Skills

• Understanding of application architecture and design patterns within OutSystems.
• Proficiency in OutSystems development, including web services integration and API development.
• Knowledge of relational and non-relational databases and query languages.
• Familiarity with AWS cloud services (e.g. S3, Lambda, API Gateway, DynamoDB).
• Understanding of application security, access controls, and logging.
• Exposure to version control systems (e.g. Git) and CI/CD practices.

We are looking for a Full Stack developer for our project with Singapore Government clients.

The candidate will be responsible for building, developing, designing, operating, and optimizing technical systems, while working closely with the development team to ensure product stability, security, and performance.

 KeyResponsibilities

·      Deploy, manage, and optimize applications built with Java SpringBoot, ExpressJS, ReactJS, NodeJS, TypeScript.

·      Manage AWS (Lambda, Param Store,Secret Manager,RDS, S3, SQS, SNS, CloudWatch).

·      Design, administer, and optimize databases:MySQL, PostgreSQL, Redis,

·      Integrate and manage GitHub Copilot, GitHub Actions to improve developer productivity.

·      Explore and implement Generative AI (GenAI)solutions into systems and applications.

·      Monitor system performance, troubleshoot issues,and ensure high availability (uptime).

·      Collaborate with development, QA, and operations teams to streamline workflows. Automation test such as JMeter,

·      Propose and apply best practices in DevOps /TechOps.

·      Participate in shift rotation and standby duties to support a 24/7 business operation, including:

o  Monitoring systems and responding to incidents outside of regular business hours.

o  Providing timely response to urgent alerts or service requests.

o  Ensuring smooth handover between shifts and maintaining incident documentation.

Requirements

·      Bachelor’s degree in Computer Science, Information Technology, or a related field.

·      Over 4 years of experience in Technical Operations, DevOps, or Backend Engineering.

·      Proficiency in Java SpringBoot, ExpressJS,ReactJS, NodeJS, TypeScript, PostgreSQL MySQL, Gitlab,

·      Hands-on experience with AWS (RDS, S3, SQS, SNS,Cloudwatch, etc.).

·      Strong knowledge of Docker and containerized environments.

·      Experience working with MySQL, PostgreSQL, and Redis.

·      Familiarity with GitHub Copilot and its application in development workflows.

·      Exposure to Generative AI (GenAI) projects or tools is a plus.

·      Willingness to work in shifts and be on standby for after-hours support.

·      Problem-solving mindset with strong communication and teamwork skills.

·      Experience in working in Singapore Government projects.