Total 7 job vacancies by Phoenix Solutions (s) Pte. Ltd.

We are looking for a full-time Full Stack Developer with comprehensive knowledge on Node.js and React.js to join the Digital Solutions team.

The candidate must have a strong focus on front-end and back-end development and demonstrate the ability to work in an extremely fast-paced environment.

Job Description  Write and code individual programs based on specifications and follow best practices. 

Work with business team to review current systems and propose suitable solution. 

Present ideas for system improvements, including technical proposals.

Work closely with analysts, designers, staff, and collaborators.

Push the frontiers of what is possible in Artificial Intelligence to create new solutions. 

Explore, understand, and implement most recent technologies and approaches for cloud applications and data pipeline. 

Produce detailed specifications and writing the program codes.  Test the product in controlled, real situations before going live. Requirements:

• 3+ years of experience in web application development with an in-depth understanding of data structures, algorithms and software design principles.

• Exposure to cloud methodologies and experience with AWS or Azure is a plus.

• Knowledge of AI/Machine Learning fundamentals.

• Experience in developing rich user interface using HTML5 and CSS3

• Experience working with NodeJS, Redux, Typescript, Webpack, NPM etc.

• Solid Proficiency in backend development including RESTful API, full-stack web-technologies, specifications and frameworks.

• Strong understanding of working with any databases like MSSQL/PostgreSQL/Oracle

• Experience building data models to support low latency reporting apps.

• Experience with software engineering best practices such as version control (e.g. git), CI/CD (e.g. Jenkins), testing, security and documentation

• Experience working on containerization and orchestration tools like Kubernetes and Docker. • Bonus: Familiarity with common ML Ops tooling/platforms (i.e.) MLflow, Sagemaker, etc.

• Strong written and oral communication skills.

• Excellent problem solving and critical thinking with excellent ability to evaluate and apply new technologies in a short time

Requirements:

• Minimum 8+ years of experience in integration or related domains.
• Hands-on experience with MuleSoft Anypoint Platform.
• Knowledge of API-led architecture and integration design patterns.
• Familiarity with cloud environments and distributed systems.
• Strong analytical and problem-solving abilities.
• Ability to work with cross-functional teams and stakeholders.
• Good communication and documentation skills.
• Experience in delivering large-scale integration or transformation projects.

Responsibilities:

• Design and implement integration solutions using MuleSoft platform.
• Collaborate with stakeholders to understand integration and API requirements.
• Develop high-level and detailed architecture for MuleSoft-based solutions.
• Manage end-to-end API lifecycle including design, development, and deployment.
• Ensure performance, scalability, and reliability of integration systems.
• Provide technical guidance and mentorship to development teams.
• Monitor, troubleshoot, and optimize integration workflows and APIs.
• Maintain documentation, standards, and best practices for MuleSoft implementations.

Skills

MuleSoft, API, API development, Integration Architecture, AWS, Azure, System Integration, Microservices, Stakeholder Management, SOAP, REST

Key Responsibilities

• Define and implement comprehensive QA strategies, standards, and governance frameworks for ICT systems.
• Lead end-to-end testing efforts including functional, integration, system, regression, API, and performance testing.
• Design and develop automation frameworks using tools such as Selenium, Playwright, and Robot Framework.
• Integrate automated testing into CI/CD pipelines using tools like Jenkins, GitLab, Maven, and Docker.
• Collaborate with cross-functional teams including developers, product owners, and stakeholders to ensure quality delivery.
• Manage defect lifecycle, perform root cause analysis, and drive continuous improvement initiatives.
• Ensure compliance with security, regulatory, and government standards for ICT systems.
• Establish and monitor quality metrics, KPIs, and reporting dashboards.
• Lead and mentor QA teams, promoting best practices in Agile and Scrum environments.
• Support UAT, SIT, and production releases, ensuring system stability and reliability.

Technical Skills & Tools

• Automation & Testing Tools: Selenium, Playwright, Robot Framework, Cucumber, TestNG, Appium
• API & Performance Testing: Rest Assured, JMeter
• Programming Languages: Java, Python, TypeScript
• DevOps & CI/CD: Jenkins, GitLab, Maven, Docker
• Test Management & Collaboration: JIRA, TestLink, Confluence, Bitbucket

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field (MCA preferred).
• 10+ years of experience in software quality assurance, with at least 5 years in a leadership or specialist role.
• Strong experience in ICT systems, enterprise applications, or government platforms.
• Proven ability to design scalable automation frameworks and drive test automation adoption.
• Experience working in Agile/Scrum environments with distributed teams.

Functional / Technical

• Communicate highly technical issues to non-technical audience.
• Earn good reputation of being technically strong in the organization by help solving problems others struggle
• Development and delivery with Java, EJB, Spring Boot, MySQL, Oracle and IBM MQ.
• Understand business / system requirements and translate them into technical solutions that are scalable, stable and fit for purpose.
• Tackle very complex legacy defects that mediocre developers cannot analyse/solve.
• Ensure adherence to the bank standards (including code, security and performance).
• The role provides exposures to Wealth Management systems.
• Passionate about technologies and building robust and scalable Java Systems.
• Analysis, design coding, and implementation of complex and custom-built applications.
• Work collaboratively with team to achieve goals. Experience working in Agile methodologies, such as Scrum, and/or Extreme programming.
• Experience in following in following best practices like Test-Driven Development (TDD) and continuous Integration (CI)
• Investigate and resolve production issues to help maintain a stable production environment; remain cool and effective in crisis.

 Technical

Must Have:

• Core Java 8+ and JUnit.
• Spring Boot
• React JS
• Strong computer science knowledge (algorithms, data structures, object-oriented design)
• TDD. Able to write acceptance test.
• Maven
• Basic Linux shell scripting commands
• Java Messaging Concepts. (JMS, MQ)
• Relational Database concepts, SQL, joins, index, triggers etc.
• Web Services Rest, SOAP.
• Spring core concepts.
• Experience in SQL queries optimisation
• Familiarity with Intellij, Git, SonarQube/SonarLint
• JBOSS (or any other application server knowledge).
• Java Server Faces, JPA, EJB knowledge.
• Able to write/understand complex SQL queries.
• Kafka

GENERAL DESCRIPTION

This role is for a Java developer for output management application in Wealth Management domain, desirable to have Quadient Inspire software experience.

SKILLS REQUIREMENTS OF THE POSITION

Professional

Minimum 8 years of development experience in Front-end applications, programming languages and back-end queries.

Well organized and ability to carry out multiple tasks. Able to influence and drive projects to meet key milestones and overcome challenges.

Preferably, have experience in finance/ banking / Wealth management domain

Domain knowledge on Client Output management is a plus

Communicate highly technical issues to non-technical audience

Understand business / system requirements and translate them into technical solutions that are scalable, stable, and fit for purpose.

Ensure adherence to the bank standards (including code, security and performance)

Work collaboratively with team to achieve goals. Experience working in Agile methodologies, such as Scrum, and/or Extreme programming

Technical

• Strong knowledge on Java, Spring boot, Hibernate frameworks.
• Strong knowledge on Service oriented architecture, RESTful services
• Good knowledge of SQL (Oracle, Postgres etc.)
• Knowledge of Quadient Inspire platform will be an advantage
• Working knowledge of Kubernetes (PKS) and containerization, streaming using Kafka, Avro schema
• Strong computer science knowledge (algorithms, data structures, object-oriented design)
• Working knowledge of GITLAB repositories, Maven, Octopus, CI / CD pipeline
• Basic Linux shell scripting commands
• Familiarity with Intellij, SonarQube/SonarLint

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

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

Requirements:

• 10+ years of experience as a Business Analyst in banking and payments
• Proven track record in delivering corporate payments, transaction banking, and digital channel initiatives
• Hands-on experience with ISO 20022 and SWIFT MT/MX; exposure to CBPR+ and payment modernization programs is advantageous
• Knowledge of real-time payment rails, clearing & settlement, and reconciliation processes
• Experience leading SIT/UAT and supporting end-to-end implementation delivery
• Exposure to cloud-based solutions and API-driven architectures (functional/business perspective)
• Experience working in Agile/Scrum and hybrid delivery environments
• Strong stakeholder management across business, technology, operations, and senior leadership teams
• Experience mentoring or guiding Business Analysts and working within global delivery models

Responsibilities:

• Perform end-to-end business analysis for digital banking and corporate payment transformation initiatives
• Elicit, analyse, and document business, functional, and data requirements (BRD, FRD, user stories, use cases)
• Conduct AS-IS / TO-BE analysis, gap analysis, and process re-engineering for payment workflows
• Design end-to-end payment flows covering real-time, cross-border, clearing & settlement, and reconciliation scenarios
• Define data mapping and message transformation for SWIFT MT/MX and ISO 20022, including CBPR+ migration support
• Produce functional solution designs, interface specifications, and API integration requirements
• Create process flows, data flow diagrams, and user journey artefacts using Visio, Draw.io, or similar tools
• Collaborate with product owners, technology teams, operations, risk, and compliance stakeholders to deliver solutions

Skills

API Development, Business Analysis, Business Analyst, Business Process Re-engineering, Cloud Applications, Collaborating With Product Managers, Corporate Banking, Gap Analysis, ISO 20022, Payment Gateways, Stakeholder Management, Transaction Banking, Use cases, Visio