Total 2,944 software test engineer job vacancies in Information Technology category in Hong Kong

Job ID: 20220

• Location: West
• Working hours: 8.30am - 5.30pm
• Salary: up to $3,800 (Depending on experiences)

Job Description

Develop and deploy full-stack web applications to optimize business processes.

As a system engineer, your primary responsibilities will include user requirement gathering, understanding change request, designing, developing and deploying of web/ application. You have to be proficient in both front and back end coding, meeting user expectation to ensure application are delivered timely.

1) Build and implement web based application that support and address key business challenges

2) Create and execute unit tests to verify code functionality

3) Troubleshoot, debug and resolve software defects

4) Provide technical assistance to legacy software

5) Continuous improvements to existing application for better end user experiences

6) Documentation of end user requirements, design, coding and test scripts

Job Requirement

Possess a degree in Computer science/ Information Technology or equivalent

Experience in manufacturing field will be an added advantage

Basic knowledge on basic VB script, ASP.NET Core

Ability to apply JQuery, High chart JS, JavaScript HTML5, CSS

Basic understanding on Oracle or SQL server database core

Familiar with object-oriented programming technical skills and design principles

SQL knowledge is a must

Skills Required (Good to Have)

Experience with Tableau is advantageous

Project management knowledge

Others

Strong team player with a professional mind-set

Desire for a career in software application

Interested applicants, kindly send your updated resume to Joanne (R21101135) Joanne@pasona.com.sg with the email subject header "Job Application for "20220, Developer Experience/ System Engineer".

Only shortlisted candidates will be notified, other applications will be updated to our database for future job opportunities.

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Pasona Singapore Pte Ltd

Joanne Yeo Min Qian
EA License No:90C4069

Registration No.: R21101135

Responsibilities:

• Collaborate with product managers, software architects, and other stakeholders to understand requirements and translate them into technical solutions.
• Design, develop, and maintain high-quality software applications, either on the frontend or backend, using Java and the Spring framework.
• Write clean, efficient, and secure code, following best practices and coding standards.
• Participate in code reviews to ensure code quality, identify potential issues, and provide constructive feedback.
• Conduct unit testing and debugging to ensure proper functionality and identify and resolve defects.
• Collaborate with frontend or backend development teams, depending on your expertise, to integrate components and ensure seamless application flow.
• Design and implement scalable and secure backend solutions using Java programming language.
• Work closely with the QA team to support testing efforts, troubleshoot issues, and resolve defects in a timely manner.
• Collaborate with DevOps teams to implement CI/CD pipelines and automate deployment processes.
• Collaborate with cross-functional teams, including product management, UX/UI designers, and operations teams, to ensure successful project implementation.
• Contribute to the continuous improvement of development processes and the adoption of best practices and technologies.
• Provide support and assistance to other developers, promoting knowledge sharing and collaboration.
• Implement CI/CD pipelines and automate deployment processes.
• Stay up-to-date with industry trends, emerging technologies, and security best practices, particularly related to payment systems and secure coding.

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, Information Technology or a related field.
• Proven experience (3+ years) as a Software Developer, with expertise in either frontend or backend development. Full-stack proficiency is a plus.
• Strong proficiency in Java, Javascript and experience with the related framework (e.g., Spring).
• Familiarity with securities concepts and secure coding practices, ensuring the development of robust and secure software applications.
• Experience in developing and integrating payment systems is highly desirable.
• Familiarity with databases and ORM technologies (e.g., Hibernate) for data modeling and persistence.
• Understanding of version control systems, such as Git, and familiarity with Agile methodologies.
• Knowledge of frontend build tools (e.g., Git, and familiarity with Agile methodologies.
• Grunt, Gulp and package managers (e.g., npm, Yarn) is a plus.
• Strong problem-solving and analytical skills, with the ability to analyze requirements and implement effective technical solutions.
• Excellent teamwork and communication skills, with the ability to collaborate effectively with cross-functional teams.
• Strong attention to detail and commitment to writing clean, maintainable, and efficient code.
• Familiarity with cloud platforms is a plus.
• Experience with containerization technologies (e.g., Docker) is desirable.
• Relevant certifications in Java or related fields are advantageous.

Key Responsibilities

Integration & Workflow Engineering

• Analyse and re-platform existing workflow-based integrations from one platform to another while maintaining functional parity.
• Implement orchestration logic including triggers, conditional routing, retries, exception handling, and state management.
• Design and implement automation patterns to handle platform limitations (e.g., looping, batching, pagination, throttling).
• Ensure workflows are idempotent, fault tolerant.
• Support environment-based deployments (DEV / UAT / PROD) with configuration-driven designs.

Data Engineering & ETL

• Design and build ETL pipelines for ingesting flat files (e.g., CSV) into relational databases.
• Handle schema validation, basic schema evolution, data quality checks, and error reconciliation.
• Optimize data ingestion for performance, scalability, and reliability.
• Collaborate with application teams to understand upstream and downstream data dependencies.

Cloud & Big Data Platform Contributions

• Build and maintain data pipelines on cloud-based big data platforms using distributed processing frameworks.
• Contribute to Lakehouse-style data storage that supports both batch and streaming data.
• Work with modern table formats that support incremental processing, versioning, and historical queries.
• Support use cases such as append-heavy datasets, high-write event data, and analytical queries.

Operations, Quality & Observability

• Implement logging, monitoring, and alerting for workflows and data pipelines.
• Support operational readiness including runbooks, deployment procedures, and rollback strategies.
• Participate in root-cause analysis and continuous improvement of data pipelines.
• Ensure adherence to data governance, security, and compliance standards.

Required Skills & Experience

Technical Skills

• Strong experience with workflow orchestration / integration platforms.
• Solid understanding of ETL concepts and hands-on experience with file-based ingestion.
• Proficient in SQL and working knowledge of relational databases (e.g., SQL Server or equivalent).
• Experience with distributed data processing frameworks (e.g., Spark).
• Familiarity with streaming and batch data processing concepts.
• Practical experience with cloud platforms and managed data services.
• Understanding of CI/CD principles for data and integration workflows.

Programming & Automation

• Experience with scripting or programming languages commonly used in data engineering (e.g., Python).
• Ability to build reusable utilities for batching, retries, pagination, and error handling.
• Experience with REST APIs and structured data formats (JSON, CSV).

Desired (Good to Have)

• Exposure to modern Lakehouse table formats supporting incremental processing and time travel.
• Experience with stream processing engines (e.g., Flink or Spark Streaming).
• Familiarity with query engines used for analytical access.
• Experience working in regulated environments (banking, financial services, or manufacturing).
• Knowledge of data observability and quality frameworks.

Experience Level

• Typically, 3–5 years of relevant experience in data engineering, integration engineering, or similar roles.
• Proven ability to work independently on moderately complex problems while collaborating within a larger team.

Soft Skills & Competencies

• Strong analytical and problem-solving skills.
• Ability to understand existing systems and translate requirements into working solutions.
• Clear communication with technical and non-technical stakeholders.
• Detail-oriented with a focus on reliability and maintainability.
• Comfortable working across multiple teams and applications.

We are looking for System Engineers to join the team! They will be responsible for supporting the system team in all aspects of the development, testing and implementation of in-house integrated solutions. Project phases involved include design reviews, lab setup, factory acceptance test, installation, checkout, integration and on-site acceptance test, training and documentation.

Support System Lead in system design, system documentation, development and project delivery

Formulate / revise specifications for purchase of IT equipment (e.g. servers, switches) and software, ensure successful and timely delivery by contractor

Plan, manage and perform system equipment installation

Perform system OS and software installation, configuration

Perform OS hardening according to security guidelines

Plan and conduct system acceptance tests with customer, prepare acceptance test reports

Support integration testing

Provide support during project phase and system warranty period

Prepare operator manuals and assist in conduct of user training

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

About the Role

In this role, you will be instrumental in building a comprehensive Agentic Framework. You will focus on the complex orchestration of LLMs, integrating third-party tools, establishing agent observability, and designing the intelligent backend services that power the AI applications. If you are a builder who thrives on solving complex orchestration problems and loves using AI-assisted tools ("vibe coding") to accelerate delivery, this is the role for you.

Key Responsibilities

• Agentic Orchestration & Development: Design and build advanced orchestration layers using Python based frameworks (e.g., LangGraph, n8n) and cloud-native AI services (e.g., AWS Bedrock Agents). Develop and onboard new "skills" and third-party API tool calls for autonomous agents.
• Advanced RAG & Cloud Integration: Architect and optimize Retrieval-Augmented Generation (RAG) pipelines. Integrate with LLMs heavily utilizing the AWS ecosystem (Bedrock) and internal government API gateways, managing context windows and embedding strategies.
• Platform & Marketplace Architecture: Design and develop the backend architecture for the AI capabilities marketplace, allowing users to securely publish, share, version, and manage datasets, custom document chatbots, newly developed AI agents and agentic "skills".
• Backend & API Engineering: Architect and develop robust backend services and APIs. Design and manage relational databases (PostgreSQL) to support application state and complex AI workflows.
• Vector Search & Data Handling: Manage and optimize search/retrieval mechanisms using vector databases and search engines (e.g., OpenSearch) to improve data retrieval accuracy and latency.
• Agent Observability & Evaluation: Implement telemetry and observability for AI agents (e.g., tracking token usage, latency, and tool-call success). Build mechanisms to evaluate LLM outputs and mitigate hallucinations.
• AI Guardrails & Enterprise Security: Implement robust security measures around LLM usage, including prompt injection defenses, data masking, and output filtering, ensuring all AI interactions comply with strict government data privacy policies.
• Data Pipelines & Platform Support: Build robust data ingestion and processing pipelines (ETL) to feed the vector databases.
• Full-Stack Collaboration: Work closely with frontend engineers and UI/UX designers to seamlessly connect complex AI backend processes with React and Next.js frontends.

Qualifications

• Experience: 5+ years of software engineering experience, with mandatory and proven proficiency in backend development, API design, and system architecture.
• GenAI/LLM Experience: Hands-on experience building applications using AI middleware/frameworks (LangChain, LlamaIndex, LangGraph) and managed LLM services.
• Cloud Ecosystem: Strong familiarity with cloud service providers. Deep knowledge of the AWS ecosystem (specifically AWS Bedrock, Bedrock Agents, OpenSearch) is highly preferred, though equivalent experience in Azure or GCP is acceptable.
• Database Mastery: Strong experience with Relational Database Management Systems (RDBMS), specifically PostgreSQL, alongside Vector DB concepts.
• Modern Development: A working understanding of modern frontend frameworks (React/Next.js) and ability to leverage AI-assisted coding tools (vibe coding) while maintaining strict code quality, security, and the ability to debug complex integrations manually.

Bonus Points:

• Workflow Automation: Experience with visual node-based workflow builders (n8n, Flowise).
• GenAI Observability: Experience with LLM observability and evaluation tools.
• Government Standards: Experience building applications that comply with strict data privacy and security standards (e.g., IM8 policies).

Let's talk about what's in it for you!

Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.

As "Architects of Positive Futures", Capgemini actively supports the community in 3 ways:

Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups Women@Capgemini and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.

Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.

Environmental Sustainability - Capgemini joined the CDP's (Carbon Disclosure Project) prestigious "A list" for its commitment to the Net-Zero economy. We are focusing on helping our clients transform towards more sustainable business models and committing to reduce our own carbon emissions (GHG) by 20% per employee by 2020.

Recognised by Ethisphere as one of the World's Most Ethical Companies for the last 8 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee’s stories.

Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

Designs, analyzes, develops, modifies and evaluates power electronic parts, components, sub-systems, algorithms, or integrated circuitry for electrical/electronic equipment and other hardware systems. Conducts feasibility studies, design margin and validation analyses and empirical testing on new and modified designs. Assists in architecture development and assessment. Evaluates reliability of materials, properties, designs, and techniques used in production. May direct support personnel in the preparation of detailed design, design testing and prototype fabrication.

Management Level Definition:

Contributions include applying developed subject matter expertise to solve common and sometimes complex technical problems and recommending alternatives where necessary. Might act as project lead and provide assistance to lower level professionals. Exercises independent judgment and consults with others to determine best method for accomplishing work and achieving objectives.

Responsibilities:

• Responsible in designing and implementing analog and power circuits, conducting design validation test and working cross functionally with other development groups.
• Research and enable innovative solutions for cost, size, power efficiency and reliability, including filing patents and enabling next generation technology.
• Generate design documentations, perform schematic capture, design board layouts, circuit bring-up.
• Solves complex technical issues, owns the technical aspects of assigned responsibility, including investigations and root cause analysis of field escalations.
• Plan and schedule to meet goals, deliverables and deadlines.
• Provides guidance and mentoring to less- experienced staff members.

Education and Experience Required:

• Bachelor's or Master's degree in Electrical Engineering.
• Typically, 4-6 years' experience.

Knowledge and Skills:

• Highly proficient in power electronics and DC/DC converters implementation.
• Strong circuit analysis and synthesis skills.
• Experience with PCA development, analog simulation and debugging tools.
• Excellent understanding of the characteristics of power semiconductors/passives and principles of switching regulators.
• Using empirical analysis, modeling and testing methodologies to validate component, circuit, and hardware designs and thermal/emissions management
• Excellent written and verbal communication and inter-personal skills to enable global and cross-functional engagements.
• Ability to effectively communicate power architecture, design proposals and negotiate options at management levels.

Job responsibilities:

• Develop machine learning computer vision applications in object detection, classification, segmentation and recognition for gemstones

• Develop LLM-applications specific to gemstone domain leveraging on latest frameworks

• Conduct User requirements, scope the AI/computer-vision project and prepare documents to define nature of dataset required for machine-learning model training 

• Work collaboratively with an entrepreneurial team of IOT-product engineers, machine learning & data scientist and software engineers, both in-house or Vendors, to successfully develop and deploy a cutting-edge solution

• Develop a comprehensive MLOps environment to manage the entire lifecycle and pipeline of machine learning projects, as well as maintain a well-documented code repository

• Conduct research and product development projects using internal gatekeeping process, prepare project and user requirements specifications, execute experiments and investigations, document and report findings, communicate to key stakeholders, and handover to downstream teams

• Execute the necessary data preparation & pre-processing, AI-model building, testing, validation and deployment to ensure reliable and scalable AI solution

Requirements:

• Bachelor’s or master’s degree in computer science, data science, artificial intelligence or related engineering fields.

• Minimum 3 to 5 years of proven experience in developing ML/DL architectures to solve real-world computer vision problems

• Strong proficiency in Python with hands-on experience in mainstream deep learning frameworks (PyTorch and TensorFlow) and their associated computer vision libraries (e.g., OpenCV, torchvision, timm, Hugging Face Transformers)

• Experience in computer vision with OpenCV and modern deep learning architectures, with a strong emphasis on Vision Transformer (ViT)-based models (e.g., DETR, DINOv2, SAM) and vision–language foundation models such as CLIP and its variants (SigLIP, BLIP); working knowledge of contrastive learning, self-supervised pre-training, and few-shot / zero-shot adaptation for downstream tasks including detection, segmentation, classification, and retrieval

• In-depth understanding of digital image processing, image transformation techniques, real-time image analytics and feature extraction in computer vision

• Experience in large-scale image data processing and architecting of data pipelines

• Possess data storytelling, information visualisation and technical writing skills

• Excellent research and problem-solving abilities, whilst maintaining curiosity about new things and enthusiasm to learn and share latest methods/techniques within the team

• Hands-on experience with cloud platforms (AWS, GCP) and modern backend/serving stacks (FastAPI, Redis, Docker) for end-to-end AI model development, deployment, and scalable inference

• Hands-on proficiency with modern AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot), including their extensibility features such as Skills, Plugins, sub-agents and MCP integrations; strong prompt-engineering skills and the ability to leverage AI-assisted development workflows productively in day-to-day engineering tasks

• Command good communication and collaboration skills, with a strong sense of responsibility, integrity and reliability

Our client is a leading MultiTech social media company. They are looking for a QA test analyst who will typically run scripts given to them; as they progress, the analyst is responsible for the development of scripts.

Job Responsibilities:

• Design test plans, scenarios, scripts or procedures
• Test system modifications to prepare for implementation.
• Develop testing programs that addresses areas such as database impacts, software scenarios, or usability.
• Document software defects, using a bug tracking system, and report defects to software developers.
• Identify, analyze and document problems with program function, output, online screen or content.
• Monitor bug resolution efforts and track successes.
• Create or maintain databases of known test defects.
• Plan test schedules or strategies in accordance with project scope or delivery dates.

Job Requirements:

• Bachelor's degree or equivalent with 2-5 years experience as a QA analyst working in automation.
• Basic knowledge of QA automation
• Basic knowledge of the practical application of engineering science and technology.
• Basic knowledge of computer development software such as JavaScript, SQL, etc.
• Verbal and written communication skills, problem solving skills, customer service and interpersonal skills

If you are keen on this excitingopportunity, kindly ‘Apply Now’.

*Referrals are greatly appreciated*

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Morgan McKinley Pte Ltd

Ramitha Ravindran

EA Licence No: 11C5502

EA Registration No. R1765539

Responsibilities:

• Lead and execute end-to-end OIG implementations with a strong emphasis on hands-on configuration, customization, and integration for complex enterprise environments.
• Drive application onboarding projects for a variety of systems (e.g., HR, ERP, CRM, custom apps), covering both out-of-the-box and custom connectors. This includes:
• Analysis of application requirements and mapping to OIG connectors.
• Development of custom connectors and adapters where standard options do not suffice, including ICF based framework.
• Implementation of automated provisioning, deprovisioning, and access certification workflows.
• Integration with authoritative sources (e.g., HRMS) and target systems (e.g., databases, directories, SaaS platforms).
• Building and configuring OIG SOA workflows, approval policies.
• Developing custom UI components for OIG self-service.
• Design and implement IGA use cases on OIG such as:
• Role-based access control (RBAC) and role mining.
• User lifecycle management (joiner, mover, leaver processes).
• Access request and approval workflows tailored to business needs.
• Periodic access reviews and compliance reporting.
• Hands-on troubleshooting and optimization of OIG components, including connectors, SOA workflows, and scheduled jobs.
• Customize OIG functionality such as:
• Using Java, Groovy, or other supported scripting languages to address unique business requirements.
• Hands on experience with REST APIs, web services, event handlers, validation plugins and scheduled tasks.
• Hands on experience with Oracle BI Publisher based audit reports.
• Hands on experience in building custom Oracle SOA composites for workflows.
• Ability to reuse existing code and extend frameworks.
• Develop and maintain detailed documentation for onboarding processes, customizations, and operational procedures.
• Advise on best practices for OIG upgrades, patching, and understanding of other IAM technologies (e.g., SailPoint, Okta, Microsoft Entra, etc.) as needed.
• Any other ad-hoc duties as assigned by supervisor

Requirements:

• Bachelor’s degree in Computer Science, Information Systems, or a related field;
• 8+ years of hands-on experience with Oracle Identity Governance (OIG v11+), including application onboarding, upgrades, and IGA use case implementation;
• Proven experience delivering complex OIG integrations across diverse enterprise applications and environments;

Interested applicants, please Email , and look for johnwong@recruitexpress.com.sg

John (Joax) Wong

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R23117179

Key Responsibilities

• Design, develop, and maintain robust, scalable, and high-performance applications using Java
• Build and enhance backend services, APIs, and microservices architectures
• Collaborate with frontend developers, QA engineers, and DevOps teams to deliver end-to-end solutions
• Participate in system design discussions, code reviews, and technical decision-making
• Troubleshoot, debug, and optimize application performance
• Ensure code quality through best practices, testing, and documentation
• Contribute to Agile ceremonies including sprint planning, stand-ups, and retrospectives

Requirements

• Degree in Computer Science, Engineering, or related field
• Strong experience in Java development (Spring Boot preferred)
• Proven experience in building scalable and distributed systems
• Familiarity with RESTful APIs, microservices, and cloud environments
• Experience with databases (SQL/NoSQL) and performance tuning
• Understanding of CI/CD pipelines and DevOps practices
• Strong problem-solving skills and ability to work independently

Good to Have

• Experience with containerization tools (Docker, Kubernetes)
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Knowledge of messaging systems (Kafka, RabbitMQ)
• Familiarity with frontend technologies (React, Angular)

Work Location: Central

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to qianyu@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

Job Summary

We seek an experienced and forward-thinking Software & AI Manager to lead the design, development, and deployment of high-impact software and AI-driven solutions. This role requires a blend of hands-on technical leadership, strategic architecture oversight, and people management, driving excellence across the full software lifecycle while embedding AI/ML capabilities into core products and platforms.

Key Responsibilities

Software Engineering Leadership

1. Establish and maintain robust processes and documentation across the Software Product Lifecycle, from inception to retirement.
2. Oversee the end-to-end application lifecycle—including requirements analysis, system design, development, testing, deployment, release, and post-launch support.
3. Take ownership of critical technical components: UI/UX design, business logic, data access layers, external API integrations, and database schema design.
4. Evaluate and recommend tools, frameworks, and methodologies to ensure product quality, scalability, and maintainability.
5. Deliver production-ready software by writing clean, efficient, and well-documented code.
6. Mentor and coach engineering teams in: Writing comprehensive unit and UI tests, troubleshooting, debugging, and performance optimisation, designing intuitive user interfaces and developing real-time and batch data processing systems
7. Collaborate with Sales, Product, and Project teams to scope, prioritise, and deliver new features.
8. Ensure both new and legacy systems adhere to quality, security, and compliance standards.
9. Proactively research and propose new software products, tools, and architectural improvements.
10. Maintain thorough technical documentation for sustainability and knowledge transfer.
11. Keep abreast of emerging technologies and industry best practices.
12. Recruit top talent and design individualised training and career development plans.

AI/ML Strategy & Execution

1. Design, develop, and optimise AI models, leveraging both open-source and proprietary resources.
2. Build scalable AI solutions using cloud platforms (AWS/Azure/GCP), data pipelines, and modern databases.
3. Implement and deploy NLP, LLMs, and other AI frameworks for real-world use cases.
4. Architect and deliver RESTful APIs to expose AI capabilities to internal/external systems.
5. Apply Retrieval-Augmented Generation (RAG) to improve relevance, accuracy, and trustworthiness of AI outputs.
6. Practise advanced prompt engineering, including instruction tuning, templating, and fine-tuning strategies.
7. Embed AI development within CI/CD pipelines, enforcing test-driven development and reproducible workflows.
8. Conduct rigorous evaluation of models using appropriate metrics, benchmarks, and validation protocols.
9. Continuously monitor advancements in AI/ML research and translate them into business value.
10. Partner with stakeholders to convert business challenges into AI-powered solutions.
11. Ensure seamless integration of AI components with existing software ecosystems.

Requirements

Experience & Technical Background

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
• 10+ years of hands-on software development and leadership experience.
• Proven track record as a Team Lead or Tech Lead, managing end-to-end software projects.
• Strong domain experience in cybersecurity (especially European standards), IP telephony, and data networking, ideally in a project or technical management capacity.
• Demonstrated portfolio of released mobile/web applications (App Store, Play Store, or enterprise deployments).
• Proficiency in multiple programming languages: Essential: SQL, Python, Strongly preferred: Node.js, TypeScript, C#, JavaMobile: Swift, Objective-C, Java (Android), plus hybrid frameworks (e.g., React Native, Flutter)
• Expertise in: SDLC & Agile methodologies, data modelling, and relational (RDBMS) & NoSQL database design, REST/SOAP API integration, Cloud-based AI/ML deployment (AWS/Azure/GCP) (a plus), ML frameworks (TensorFlow, PyTorch) (a plus)

AI/ML Competencies

• Solid foundation in machine learning (supervised/unsupervised learning, neural networks, optimisation, evaluation metrics).
• Experience with data preprocessing, feature engineering, and SQL for AI pipelines.
• Deep understanding of algorithms, data structures, and their role in scalable ML systems.
• Familiarity with MLOps practices, including CI/CD for AI, model versioning, and monitoring.

Soft Skills & Attributes

• Exceptional verbal and written communication, able to explain technical concepts to non-technical audiences.
• Strong organisational, multitasking, and prioritisation skills.
• Self-motivated, independent, and able to thrive with minimal supervision.
• Collaborative team player who can inspire, mentor, and align engineers toward shared goals.
• Adaptable under pressure, with a bias for action in fast-paced environments.
• Committed to lifelong learning and technology innovation.
• Willingness to travel as required.

Roles and Responsibilities

· Software Development:

- Collaborate with the tech team to develop web applications and software plugins;

- Handle both frontend and backend development (including design, testing, programming), ensuring seamless integration of user interfaces with server-side logic’

- Integrate software solutions with existing business systems;

· Deployment, Security and Maintenance:

- Deploy digital solutions to various environments, ensuring scalability, security, and reliability;

- Implement security measures for applications, such as securing APIs, managing authentication and authorization mechanisms, and ensuring data integrity;

- Monitor, maintain, and improve the performance of deployed applications, including bug-fixing;

· Technical Collaboration:

- When needed, work with stakeholders to understand requirements and technical specifications to deliver functional solutions;

- Collaborate with designers, architects, and other team members to ensure solutions meet user needs and project goals;

· Testing and Quality Assurance:

- Conduct testing and debugging to ensure high-quality, error-free applications;

- Participate in code reviews and contribute to the establishment of best practices;

· Documentation:

- Prepare and maintain clear documentation for developed solutions, including APIs, workflows, and deployment guidelines;

· Continuous Learning:

- Stay updated with the latest technologies, frameworks, and tools to contribute innovative ideas to the team;

Requirements

· Bachelor’s degree in Computer Science, Software Engineering, or a related field;

· Technical Skills:

Experience in:

- Frontend technologies: Angular 18+;

- Backend technologies:

· FastAPI;

· ASP.NET Core and C# (to develop plugins);

- Database technologies: Postgres, Microsoft SQL Server, MongoDB;

- Deployment technologies: Docker;

- Version control: Git;

• Problem-Solving Skills: Strong analytical and problem-solving skills with attention to detail;
• Team Collaboration: Ability to work effectively in a team environment, communicate ideas clearly, and contribute to project success;
• Learning Attitude: Willingness to learn and adapt to new technologies and frameworks;

Good to have

· Familiarity with software development for AEC (Architecture, Engineering, and Construction) tools like Revit, Rhino, or Sketchup;

· Experience in deploying and maintaining applications in cloud environments ([e.g., AWS, Azure, or GCP]);

· Knowledge of API design and development;

· Exposure to CI/CD pipelines for software deployment;

· Understanding of Agile methodologies and project management tools ([e.g., Jira, Trello]);

· A portfolio or GitHub repository showcasing past projects or code samples.

Key responsibilities

• Analyze and optimize existing system architecture, coding standards, and technology platforms.
• Develop and present architectural and functional improvement proposals to enhance system performance and scalability.
• Partner with Product Owners, Sales, and Operations teams to identify requirements for system upgrades, fixes, and new functionality.
• Lead hands-on development, conduct code reviews, and enforce development best practices.
• Manage the complete software release lifecycle, including versioning, deployment coordination, and production validation.
• Author comprehensive technical documentation, including system specifications, developer guides, and internal references.
• Produce detailed release notes, user manuals, installation guides, and training documentation.
• Execute rigorous testing protocols (functional, regression, usability) prior to production deployment.
• Maintain production systems through bug resolution, compatibility remediation, feature implementation, and regulatory compliance updates.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or related discipline.
• Minimum 6+ years of professional software development experience, or equivalent demonstrated expertise.
• Advanced proficiency in C# (preferably with Unity experience), C++, and MS SQL.
• Experience delivering and maintaining enterprise-grade production systems.
• Deep knowledge of software architecture, system design principles, and industry best practices.
• Proven cross-functional collaboration with Product, Operations, and business stakeholders.
• Exceptional problem-solving capabilities, attention to detail, and technical communication skills.

Nice to Have

• Experience with casino systems or gaming platforms.
• Unity development or real-time interactive application experience.
• Involvement in software release management and deployment processes.
• Proficiency in additional languages such as Java, Python, or equivalent, with demonstrate technology adaptability.

This will be a 2-years direct contract position.

Responsibilities

• Define engineering vision, strategy, and directions.
• Produce long-term technical plan and roadmap and updating it regularly to meet future product/business needs and infrastructure requirements.
• Engage with engineers in conversations about their performance, professional growth, offering constructive feedback, mentoring, and guidance.
• Partner with stakeholders and agencies to prioritize and manage roadmaps for delivering product vision incrementally and efficiently.
• Collaborate with cross-functional partners to develop quality, reliability, and security strategies.
• Identify and initiate engineering initiatives.
• Introduce practices and tools to encourage a strong engineering culture and maximize engineering effectiveness and impact.
• Tracking engineering capabilities backed by facts ("show me the code").
• Defining and maturing key pillars such as Infrastructure-as-Code (creation, patching, remediation), CI/CD (build, test, deploy), and compliance posture (audits, VAPT, risk management).
• Leverage leading and lagging metrics such as lead time and deployment frequency to create accountability and drive measurable improvement.
• Support recruitment, particularly for more senior hires.

Responsibilities

Experience in

• Large, high-availability software systems that have operated at scale.
• Modern full-stack web application technologies; experience in modern front-end engineering like Next.js/React.js and Java/TypeScript on the backend.
• Coaching developers (minimum 2 years).
• Operating in an environment where engineering maturity is being built, not inherited

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1988580 Jacky Chong

Responsibilities:

• Lead the full sales cycle for digital and IT services, from generating leads to closing deals.
• Actively engage in public and private RFPs, tenders, and government procurement platforms (such as GeBIZ).
• Prepare customized proposals, quotations, technical documents, and presentation materials.
• Act as the technical advisor throughout the sales process, translating client needs into effective and scalable solutions.
• Showcase product features through demonstrations, prototypes, and walkthroughs.
• Collaborate with project teams to accurately scope solutions and align expectations with deliverables.
• Ensure client satisfaction by managing upselling, renewals, and handling escalations professionally.
• Monitor and manage sales pipelines, providing regular updates on key metrics and achievements.
• Build and maintain strong client relationships based on trust, transparency, and reliable delivery.
• Evaluate and communicate the technical feasibility and architecture of proposed solutions, such as CMS platforms, custom applications, and experiential technologies.
• Act as a bridge between sales and development teams to ensure solutions are technically viable and properly scoped.
• Coordinate with vendors and internal technical teams to gather requirements, define system specifications, and ensure seamless integration.

Qualifications:

• Degree or diploma in Information Technology, Computer Science, Digital Media, or related disciplines.
• 1 to 3 years of combined experience in IT sales and/or pre-sales/solution consulting.
• Proven experience managing IT tenders and digital transformation projects, particularly within Singapore.
• Skilled at translating technical concepts into clear business value for non-technical audiences.
• Detail-oriented with a professional attitude and strong commitment to client success.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

EA Personnel: Nyon Hock Sen (Aden)

EA Personnel Reg No: R24124070