Overview
We are seeking a qualified Software Developer to join our team to design, build, and deploy high-quality applications.

Responsibilities

• Design and develop end-to-end solutions that meet functional requirements, including specifications, testing, and implementation.
• Perform impact analysis on issues and contribute to continuous improvement of development practices, tools, and processes.
• Analyse user needs and translate business requirements into functional, high-quality solutions.
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Work with hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Requirements

• Bachelor's degree in Computer Science, Software Engineering or related fields.
• Min. 3 years of experience in software/ applications development
• Ideally with both web and mobile applications experience
• Technology stack: Java, Javascript, Python, React, .Net core, SQL scripting
• Experience with platforms like ServiceNow, Zendesk or Jira preferred

Due to the volume of applicants we regret that only shortlisted candidates will be contacted.

Tech Grid Asia Pte. Ltd.
EA Licence: 24C2582
Tan Ying
EA Personnel: R1222762

We are looking for a Software Developer to join our Single-Family Office. This role is designed for all applicants as well as fresh graduates with strong programming skills in JavaScript and Python. No prior experience is required — just technical curiosity, problem-solving ability, and a drive to build secure, scalable systems that support smarter investment decisions.

Key Responsibilities

·       Maintain and enhance existing investment software systems.

·       Develop new features to expand software capabilities and improve system performance.

·       Strengthen data protection and security systems to safeguard proprietary investment tools and sensitive information.

·       Collaborate closely with Investment Analysts to rapidly acquire domain knowledge and align software development with business needs.

·       Document processes, write clean code, and ensure system reliability.

Qualifications

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

·       Strong programming skills in JavaScript and Python.

·       Familiarity with databases, APIs, and cloud platforms is a plus (training provided if needed).

·       Interest in or coursework/personal-project exposure to AI/ML is a plus — we are open to applying LLMs and other AI tools to investment workflows over time.

·       Strong problem-solving mindset and ability to learn quickly.

·       Interest in finance and willingness to understand investment workflows.

What We Offer

·       Exposure to the intersection of technology and finance in a family office environment.

·       Mentorship from experienced professionals to accelerate your learning curve.

·       Opportunities to work on real-world investment systems with direct impact.

·       A collaborative culture that values innovation, security, and continuous improvement.

Experience: 6-9 Years
Role: Software Developer

Responsibilities:

·         Collaborate with Application Analyst/ System Analyst to implement solutions that meet Business Requirements and are in alignment with organization's business objectives.

·         Work in team of developers to design algorithms and flowcharts

·         Produce clear, detailed technical design documentation for reference and reporting

·         Produce clean, efficient code that can achieve both technical and non-technical specifications

·         Produce codes that are in conformance to the Bank’s coding and security standards

·         Develop and execute Unit Test scripts to ensure conformity to requirements

·         Troubleshoot, debug and upgrade existing software

·         Verify and deploy programs and systems

·         Recommend and execute program improvements

·         Support and operate test environments, including execution and monitoring of EOD batch runs.

Requirements:

Technical Skills & Experience

·         Familiarity with Waterfall and Agile development methodologies

·         Experience with software design and development in a test-driven environment

·         Experience with development using SQL, .NET 8, .NET Core, .NET MVC, JavaScript and React

·         Experience in TypeScript and Angular will be an added advantage

·         Familiarity with modern development toolset e.g. ALDON, JIRA, BitBucket, GIT, SonarQube, Jenkins, Veracode, Confluence will be an added advantage.

·         Ability to learn new languages and technologies

·         Excellent communication skills

·         Resourcefulness and troubleshooting aptitude

·         Attention to detail

Education

·         Degree in Computer Science or related discipline

Primary Contacts

·         Lead Developer

·         Development Team

Key Skills:
·        Strong domain knowledge in Banking and Wealth Management, including products such as Unit Trusts, Bonds, Insurance, Structured Notes, and Structured Certificates.

·        API integration and system interfaces

Proficiency with SDLC methodologies

Responsibilities:

• Manage the day-to-day technology requirements of our proprietary trading systems
• Accelerate trading and research analysis workflows by utilizing and expanding on the Firm’s in-house infrastructure and improve productivity
• Evaluate new technologies and identify/deprecate legacy code to improve on the current technological stack
• Collaborate with other engineers, traders, and researchers to design custom frameworks or end-user solutions
• Write performance sensitive code and user-friendly APIs to facilitate access to our in-house data analysis infrastructure
• Lead design discussions and conduct code reviews to maintain high standards and quality of written code

Requirements:

• Bachelor’s or Master’s degree in Computer Science or related Engineering discipline
• 6+ years of experience building demanding, live systems in Python
• In-depth knowledge of Python and keeps up with current standards (3.11 onwards)
• Up-to-date knowledge of the Python ecosystem: third party libraries, packaging in-built Python libraries
• Knowledge of systems language such as C, C++, Rust, etc.
• Solid understanding of data structures
• Strong verbal and written communication skills
• Must care about the user-experience/UX component
• Knowledge of CI software, such as TeamCity or Jenkins
• Familiarity with Linux
• Ability to mentor others and lead small projects

Bonus points:

• Experience in the trading industry
• Familiarity with the scientific python stack
• Understanding of the latest in python package management

Job Descriptions:

• Participate in the implementation and delivery of telecommunications software projects.
  
• Provide technical support services, including system configuration, business operations support, and system upgrade activities.
  
• Deliver Level 2 and Level 3 technical support to both existing and new customers, ensuring timely issue resolution.
  
• Prepare test plans, develop test cases, and execute testing activities across various project phases to ensure system quality and performance.
  
• Coordinate with external parties, vendors, and stakeholders to support system integration, issue investigation, and troubleshooting activities.
  
• Perform any other duties and responsibilities as assigned by the Project Manager.

Job Requirements:

• Bachelor's Degree in Information Technology, Computer Science, Electrical/Electronic Engineering, or a related discipline.
  
• Proficiency in at least one of the following technical areas: databases (MySQL, PL/SQL), Linux, Python, or Shell scripting.
  
• Prior experience in telecommunications BSS (Business Support Systems) projects will be an advantage.
• Strong analytical and problem-solving abilities, with a proactive mindset and customer-focused approach.
  
• Self-motivated team player with the ability to work independently and manage responsibilities effectively.

Software Developer – Roles & Responsibilities

• Lead the development and delivery of payment microservices-based applications in alignment with business timelines and release commitments.
• Design and develop RESTful APIs for digital payment solutions, including Scan & Pay, proxy payments, and interbank fund transfers.
• Implement event-driven architectures using Kafka for asynchronous communication and payment event processing.
• Collaborate with Product Owners, Business Analysts, QA Engineers, DevOps teams, and Solution Architects to deliver high-quality software solutions.
• Review technical designs, code quality, API contracts, and database schema changes to ensure adherence to best practices.
• Mentor and support development team members on Java, Spring Boot, Kafka, coding standards, and exception handling.
• Participate in Agile ceremonies, including sprint planning, backlog grooming, effort estimation, and release planning.
• Troubleshoot and resolve production issues in collaboration with Site Reliability Engineering (SRE) teams.
• Implement and maintain logging, monitoring, and observability solutions using ELK Stack, Grafana, and AppDynamics.
• Ensure application performance, scalability, security, and reliability across all development stages.

Qualifications & Skills

• Bachelor's Degree in Computer Science, Information Technology, Software Engineering, or a related field.
• 5+ years of experience in software development, preferably in banking, fintech, or payment systems.
• Strong proficiency in Java, Spring Boot, Microservices Architecture, and REST API development.
• Hands-on experience with Apache Kafka and event-driven system design.
• Experience working with relational databases and database design principles.
• Knowledge of Agile/Scrum software development methodologies.
• Familiarity with CI/CD pipelines, DevOps practices, and cloud-based deployments.
• Experience with monitoring and observability tools such as ELK Stack, Grafana, and AppDynamics.
• Strong problem-solving, analytical, and communication skills.
• Ability to work effectively in cross-functional and distributed teams.
• Experience in payment systems, digital banking, or financial services.
• Knowledge of SGQR, NETS, PayNow, and interbank payment platforms.
• Understanding of security, compliance, and regulatory requirements in financial applications.
• Experience with production support and incident management processes.

Role: Software Developer

Key Responsibilities

-       To be responsible for requirement gathering, development, maintenance and support of Pricing application, under Transaction Banking.

-       Able to Code, tests, debugs, implements and writes specifications for programs of low to moderate complexity

-       Developing and troubleshooting applications in Java/J2EE and maintain existing microservice functions

Key Requirements:

• At least 7 - 10 years’ experience in developing, implementing and maintaining IT systems

·       Minimum of 2 years' experience in Billing/Pricing related application. Working Experience with TBMS product (billing software) with Strong technical and functional background (Mandatory)

·       Experience in Java, WebLogic, JBOSS, PL/SQL Development, Unix Scripting (Mandatory)

·       Experience in Banking Domain, Pricing /Billing Application Related (Mandatory)

·       Strong hands-on experience in API and Microservices (Mandatory)

·       Experience in Oracle and WebLogic upgrade experience preferable

·       Requirements analysis and ideation

·       Good working experience on various types of Testing say Sanity, Functional testing, End to End testing, Regression testing, web service testing and related testing methodologies

·       Highly motivated individual; successfully led the testing efforts for multiple projects and completed testing on time with quality

·       Experience in coordinating with offshore team from on-site, and handling stakeholders & counterparts located in various geographies/time zones

·       Proven ability in Coordinating and managing UAT according to time and effort estimates

·       Highly motivated individual; successfully led the testing efforts for multiple projects/environments and completed testing on time with quality

·       Proven ability to work and resolve production incidents under strict time constraints and provide workarounds using java snippets or unix shell scripts

·       Should be able to coordinate with application level 3 support over phone and perform relevant remedial actions for BAU processing

Job Summary

We are seeking a versatile Software Engineer with at least 3 years of professional experience to design, develop, and maintain production-quality systems across the stack. You will solve real engineering problems, leverage AI-assisted tools, and deliver scalable, reliable software solutions.

Responsibilities

• Apply strong software engineering fundamentals to design and implement data structures, algorithms, APIs, distributed systems, and databases for scalable applications
• Debug and optimize system performance to ensure reliability and maintainability in production environments
• Develop backend services using modern languages and frameworks such as Node.js/TypeScript, Python, or Java to build real-world applications
• Build and maintain frontend components using frameworks like React, Angular, or Vue to enhance user experience
• Utilize AI-assisted development tools productively and responsibly to improve coding efficiency and quality
• Independently validate, debug, and maintain production systems to meet operational standards
• Implement and manage CI/CD pipelines, version control with Git, testing practices, and deployment workflows to streamline software delivery
• Operate effectively in cloud and Linux-based environments to support infrastructure needs
• Communicate clearly and collaborate across teams to contribute to frontend, backend, infrastructure, and product discussions
• Demonstrate adaptability by contributing across multiple technical domains and taking ownership from design through deployment

Preferred competencies and qualifications

• Experience with modern frontend frameworks such as React, Angular, or Vue
• Familiarity with cloud and Linux-based environments
• Strong problem-solving and communication skills

Functional/ Technical

• Design, develop and deploy machine learning solutions and services
• Implement end-to-end machine learning pipelines from data ingestion to training and model serving
• Operationalize LLMs, embeddings, and multi-agent systems in real-world applications
• Manage the machine learning and model lifecycle (experimentation, registry, deployment)
• Oversee the model promotion lifecycle, coordinating validation gates and approval workflows to safely deploy new model versions from stating to production
• Containerize applications using Docker and orchestrate them via Kubernetes
• Build and maintain CI/CD pipelines for ML models and LLM applications
• Collaborate with data scientists to refactor research code into production-ready Python code
• Monitor model performance, data drift, and performance in production
• Assess and integrate AI solutions ensuring optimal performance and reliability
• Design and implement production grade RAG systems
• Collaborate with infrastructure teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

Competencies

• Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
• Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
• Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence
• Attention to detail and commitment to producing high-quality, reliable, and maintainable code

Education and skills requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
• Advanced proficiency in Python programming with a focus on writing clean, testable and efficient code
• DevOps & Containers: Proficient with Docker for containerization and working knowledge of Kubernetes (k8s) for orchestration
• Practical understanding of GPU architecture and cloud compute instances to optimize resource allocation for training and inference workloads
• MLOPS tools: hands on experience with MLflow (or similar tools like weights & biases) for experiment tracking and model registry
• Proven experience working with Large Language Models (LLMs)
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
• Hands-on experience with CI/CD pipelines (GitLab, Jenkins)
• Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
• Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
• Relevant work experience in machine learning, data science or a related field

Job Summary

• Involve in the analysis, design, documentation, coding, and testing of enterprise-level software applications.

• Perform unit, integration, functional, and non-functional testing to ensure product quality and reliability.

• Troubleshoot and resolve production issues related to software applications in a timely manner.

• Evaluate existing systems and implement updates or add new features to enhance functionality and performance.

• Collaborate with team members in requirements discussions, design reviews, and solution planning, providing valuable technical insights.

• Prepare and maintain technical documents, ensuring clarity and completeness.

• Assist in project planning, provide time estimates, and ensure that development milestones are met.

• Work independently on assigned tasks while maintaining close communication with the project team.

• Respond proactively to suggestions for system improvements and enhancements.

• Perform any other duties assigned by the immediate supervisor or senior management.

Job Requirements:

• Bachelor’s degree or above in Computer Science, Software Engineering, or related fields.

• At least 5 years of hands-on experience in Java development, have some experience in team management.

• Proficient in Java web frameworks such as Spring MVC and familiar with RESTful APIs and Web Services.

• Familiar with HTML, CSS, JavaScript, and related front-end technologies.

• Experience with Oracle or MySQL databases.

• Familiar with version control tools such as Git or SVN.

• Experience with Spring Boot, RocketMQ, and Redis will be an advantage.

• Knowledge of BSS/OSS systems in the telecommunications industry is preferred.

• Strong problem-solving, analytical, and debugging skills.

Interested may click to apply / drop resume to whatsapp +65 8684 8297 (Sook Hooi - HR)

Role summary

We are looking for a seasoned IT professional to help support BAU and IT projects by providing in-house solution development as well as end users application support to join our Technology team.

You will need to be competent indifferent aspects of IT, particularly software development, system administration and database administration, and comfortable in embedding GenAI in solution development. Ideally, you also have some experience in asset management functional domain. You will be reporting directly to the Head of Technology.

Key duties and responsibilities

As a software developer:

o   Understanding of investment team and operation users business and process requirements and translating into technical implementations

o   Troubleshooting technical issues

o   Developing new reports

o   Support system / database upgrade

As an application engineer:

o   Manage trading system applications and job processes.

o   Support all activities including day to day system/application administration and problem resolution.

o   Application and user account administration and maintenance.

As a system and database administrator:

o   Perform basic system and database administration tasks

o   Manage outsource vendors on system and database administration and maintenance matters to ensure that Fullerton’s requirements are met.

Education Qualification

Bachelor’s degree in computer science or a relevant discipline

Competency

5+years of experience in software development as well as experience in application support. Experience in system and database administration will bean advantage

Ideally minimum 2 years of experience in investment management industry covering front office to back office activities

Experience in SimCorp Dimension data extraction and importing toolkit, e.g. DEX, DFS and Communication Server is a definite plus

Strong experience in programming such as SQL, QilkSense, .NET, #C, VBA, Scripting and PowerBI

Proficient in using GenAI to optimise IT programming deliverables where possible

Demonstrate some skills in supporting business application with an outstanding analytical, troubleshooting and problem-solving skills

Some understanding on investment management across all asset types

Independent, hands on, able to multi-task and open to working on different IT areas

Good attitude as a team player with good communication and strong troubleshooting skills

Able to rely on experience and judgement to achieve your objectives

Position Summary

The Software Engineer will be responsible for supporting the design, development, deployment, and maintenance of automation solutions for smart factories / high-tech manufacturing lines. This role involves hands-on execution of automation tasks, integrating equipment with factory systems, troubleshooting connectivity issues, and collaborating with cross-functional teams to ensure solutions meet performance and quality goals.

Key Responsibilities

• Assist in gathering operational requirements and executing technical tasks to support automation solution scopes.
• Develop, test, and implement automation scripts, components, and software integrations to enhance system performance.
• Integrate and test vision-based and spatial-sensing components to support automated inspection and equipment monitoring.
• Write and maintain ETL pipelines to collect, transform, and integrate equipment and MES data into usable formats.
• Maintain software version control, track configurations, and document changes to ensure traceability across automation systems.
• Write database queries and assist in maintaining automation-related databases (monitoring, backup, and recovery procedures).
• Follow established data governance standards, access procedures, and life cycle management guidelines.
• Diagnose, troubleshoot, and resolve daily automation, equipment connectivity, and dataflow issues to minimize downtime.
• Collaborate with vendors and internal stakeholders to support the successful delivery and integration of automation projects.
• Research and test emerging automation, IIoT, and digital technologies under the guidance of senior team members.
• Perform any ad-hoc duties assigned by the Company as and when required.

3.      Qualifications & Skills

• Bachelor’s degree in Electrical, Electronics, Mechatronics, Mechanical Engineering, Computer Science, or a related discipline.
• 2 years of experience in equipment automation (ideally in semiconductor, solar, or electronics manufacturing).
• Working knowledge of equipment interface protocols (SECS/GEM OPC UA, Modbus, etc.).
• Hands-on experience diagnosing and troubleshooting hardware/software connectivity to equipment.
• Experience with PLCs, control systems, sensors, actuators, robotics.
• Proficiency in programming languages (C, C++, C#, Python, VB, Golang, Java, etc.).
• Basic understanding of MES / factory systems integration and IoT/ data connectivity.
• Familiarity with relational databases and writing basic SQL queries (Oracle, DB2, SQL,Postgresql, MySQL).
• Strong analytical, troubleshooting, and documentation skills.
• Good communication skills and ability to work well in a team.
• Willingness to travel between sites on project assignments.

4.      Preferred/Additional

• Experience in high-precision, contamination-controlled factory environments such as cleanroom / semiconductor / solar fabs.
• Exposure to AI / machine learning applications in automation
• Prior experience leading multi-site deployments
• Familiarity with Industry 4.0 frameworks                                         

We are seeking an experienced Senior Data Architect / Lead Data Engineer to lead enterprise data transformation initiatives, modern data platform development, and cloud-based analytics solutions. The ideal candidate will possess deep expertise in Data Architecture, Data Warehousing, Cloud Data Platforms, ETL/ELT development, Data Governance, and Analytics Enablement.

The candidate will work closely with business stakeholders, data analysts, architects, and engineering teams to design scalable and secure data ecosystems that support reporting, advanced analytics, AI/ML, and regulatory requirements.

Key Responsibilities:

• Design and implement enterprise-scale Data Warehouse and Data Lake solutions.

• Architect modern cloud-based data platforms using Snowflake, Azure Synapse, Databricks, and Delta Lake.

• Develop scalable ETL/ELT pipelines using Talend, Informatica, Azure Data Factory, and Python.

• Establish Medallion Architecture (Bronze, Silver, Gold) and curated semantic layers.

• Lead data modeling activities including conceptual, logical, and physical data models.

• Define and implement Data Governance, Metadata Management, Lineage, and Data Quality frameworks.

• Collaborate with business stakeholders to gather requirements and translate them into technical solutions.

• Design data solutions supporting Business Intelligence, Advanced Analytics, and AI/ML initiatives.

• Ensure compliance with regulatory and security requirements.

• Conduct architecture reviews, performance tuning, and technical mentoring for engineering teams.

• Support cloud migration and enterprise data modernization programs.