Total 4 technical support engineer job vacancies in Singapore

About the Role

Within an Agile framework, our team provides testing as a service to various squads within a banking and finance domain Agile Release Train. This role ensures the seamless transition of new features and applications into the production environment. We are looking for a new team member to enhance our testing capabilities and collaborate effectively with squads.

Key Responsibilities

• Collaborate with squads to develop effective test strategies and plans.
• Review and analyze user stories with a focus on testing and testability.
• Execute test cases, document results, and report defects in an audit-compliant manner.
• Support squads in troubleshooting and resolving defects during the development process.
• Develop and improve test automation processes, working with fellow test engineers.
• Provide continuous feedback by reporting defects and issues to the squads.
• Ensure quality throughout the change process by working closely with the squads.
• Enhance the testing service through continuous improvement initiatives in collaboration with fellow testers.
• Support the transition of changes into production by conducting post-release testing and support, including training for support team members.

Requirements

Must Have

• Proven experience as a Quality Assurance Tester, preferably within the financial industry.
• Familiarity with Agile frameworks and QA methodologies.
• Experience testing both in-house developed applications and vendor-based systems.
• Excellent understanding of functional and workflow-based system designs spanning multiple interconnected systems.
• Solid knowledge of securities lending, repo, and back-office processes, including:Settlement workflows (e.g., DVP, FOP).
  Corporate actions and their impact on securities positions.
  Familiarity with trading, collateral management, and financial workflows.
  
• Experience working with Temenos T24.
• Proficiency in using Jira and other testing software/tools.
• A positive, can-do attitude with high motivation to acquire new technical and functional skills.
• Ability to work independently with minimal supervision.
• Strong communication skills in English.

Nice to Have

• Experience with test automation and management tools such as Selenium, Tosca, or X-Ray.
• Knowledge of financial messaging standards like SWIFT (MT5xx series) or ISO 20022.

Overview

We are seeking an experienced C# Backend Developer to join the Markets IT division of a leading global financial institution. The role focuses on maintaining and enhancing a trading platform, building new libraries and frameworks, and contributing to cloud-based transformations. Working in an agile environment, the developer will collaborate with global teams in Singapore and the global, engaging with traders, business owners, and other stakeholders to deliver innovative solutions.

The ideal candidate will have a strong background in backend development with expertise in C# and a good understanding of cloud-based solutions (e.g., Azure). Familiarity with frontend technologies such as React and JavaScript is an added advantage.

Responsibilities

• Backend DevelopmentDesign, develop, and maintain backend services and APIs using C#.
  Optimize performance, ensure data integrity, and implement secure solutions.
  Contribute to the containerization of applications for cloud deployment.
  
• System Integration & SupportIntegrate financial systems and third-party services for seamless functionality.
  Provide technical support for both development and production environments.
  
• Code Quality & Agile PracticesWrite clean, maintainable, and efficient code adhering to industry standards.
  Conduct code reviews and support CI/CD pipelines in an agile setup.
  
• Collaboration & Stakeholder ManagementWork closely with global teams, business owners, and stakeholders to gather requirements and propose solutions.
  Regularly update stakeholders on progress through established channels.
  
• Cloud & Frontend Development (Optional)Contribute to cloud-based development using Azure services.
  Collaborate on frontend interfaces with JavaScript and React, as needed.
  

Requirements

• Core Qualifications:10+ years of software development experience, with at least 5 years in backend development
• Expertise in C#.
• Strong knowledge of MongoDB, MS SQL, RabbitMQ, gRPC, and GraphQL.
  Hands-on experience with application containerization and cloud technologies (e.g., Azure).
• Desirable Skills:Familiarity with frontend technologies like JavaScript/TypeScript and ReactJS.
  Experience in the financial services domain or trading platforms.
  

Responsibilities

As a key contributor to our team, you will help build a robust Data Platform that powers analytics and AI-driven solutions. Your responsibilities include:

• Building and maintaining end-to-end data systems using tools like Python, Scala, or similar.
• Designing, developing, and managing data pipelines for real-time decision-making, reporting, and data collection.
• Implementing processes to ensure data quality, governance, and security.
• Developing ETL/ELT processes and working with structured, semi-structured, and unstructured data.
• Creating and optimizing data models and workflows to support data transformation and storage.
• Leveraging cloud data technologies and services, including Azure, for scalable and efficient data solutions.
• Collaborating with cross-functional teams to produce high-quality, well-tested, and secure code.
• Utilizing tools such as Spark Streaming, Delta Tables, and Databricks for handling large datasets.
• Managing diverse data stores, including data warehouses, RDBMS, and in-memory caches.
• Supporting data-driven decision-making with innovative solutions and advanced analytics.

Qualifications

Required Skills:

• Education: BS/MS in Computer Science, Information Systems, Data Analytics, or equivalent experience.
• At least 2+ years of experience in:Building pipelines and incorporating workflow tools into data system designs.
  ETL/ELT, Data Warehousing, or Business Intelligence Development.
  Leveraging SQL for data investigations and problem-solving.
  Working with cloud platforms and services for data processing and storage.
  Handling structured, semi-structured, and unstructured data across diverse storage systems.
  
• Hands-on experience with:Large datasets and tools like Databricks or PySpark.
  Storage systems such as Azure Data Lakes or other cloud-native solutions.
  Spark Streaming and creating Delta (Live) Tables.
  
• Strong background in design, implementation, and testing for scalable data solutions.
• Proficiency in developing for continuous integration and automated deployments.
• Ability to work in a collaborative environment with excellent communication skills.

Preferred Skills:

• Experience with microservices platforms like Kubernetes, Docker, and Helm Charts.
• Familiarity with event-driven streaming systems (Kafka, Event Hub, Event Grid, Apache Flink).
• Knowledge of advanced tools such as DBT or Data Vault methodologies.
• Experience with Microsoft Fabric or administering BI tools.
• Proficiency in additional programming languages like JavaScript, Java, or C#.
• Ability to guide and mentor other developers, providing technical leadership and expertise.

Overview

We are seeking a skilled Infrastructure Engineer to manage, enhance, and automate our Market Data platform and related infrastructure. This role combines expertise in Linux and Windows environments, scripting, observability tools, and CI/CD pipelines, with a focus on creating scalable, high-performance systems for a dynamic environment.

Key Responsibilities

• Platform Administration & Maintenance:Maintain and manage the Market Data ananlystic tool, including service configuration, memory loader setup, locator files, and system processes.
  Perform logfile investigations and troubleshoot issues across Linux and Windows infrastructures.
  
• Automation & Tool Development:Drive automation efforts by developing and managing scripts using Python, Bash, or PowerShell to streamline environment provisioning, deployment, and configuration tasks.
  Build and maintain custom deployment tools to optimize the installation and upgrades of the Market Data platform.
  
• CI/CD & System Integration:Design and manage robust CI/CD pipelines using tools like Jenkins, BitBucket, GitLab, and Octopus.
  Integrate deployment pipelines with source control systems, testing frameworks, and observability platforms.
  Automate deployment processes using Infrastructure-as-Code (IaC) tools such as Terraform and Ansible.
  
• Performance Optimization & Scalability:Collaborate with developers and system administrators to optimize low-latency, high-throughput systems.
  Implement solutions to ensure the platform’s ability to scale and handle dynamic workloads efficiently.
  
• Observability & Reliability:Develop monitoring, logging, and alerting mechanisms using Grafana, ElasticSearch, fluent-bit, and OpenTelemetry to proactively identify and resolve issues.
  Ensure deployments meet reliability and security standards.
  
• Collaboration & Engineering Culture:Partner with product teams and quant engineers to understand business requirements and align tools with operational needs.
  Foster a culture of engineering excellence, standardization, and automation across the team.
  Contribute to documentation efforts and advocate for best practices.
  

Required Qualifications

• Linux/Windows Expertise:Strong background in Linux administration, including software package management, text processing, filesystem management, and shell scripting.
  Experience managing and troubleshooting Windows-based environments.
  
• DevOps & Automation:Proficiency with CI/CD tools like Jenkins, BitBucket, GitLab, Octopus, and Maven.
  Strong scripting skills in Python, Bash, or PowerShell.
  Hands-on experience with Infrastructure-as-Code tools like Terraform or Ansible.
  
• Monitoring & Messaging Systems:Familiarity with observability tools such as Grafana, ElasticSearch, and OpenTelemetry.
  Experience with communication stacks like RabbitMQ, Kafka, WebSocket, and WebSphere MQ.
  
• Market Data Platforms & Distributed Systems:Familiarity with market data systems and their configuration, optimization, and administration.
  Knowledge of distributed architectures, high-throughput systems, and market data infrastructure.
  

Preferred Qualifications

• Experience deploying and managing OneTick or similar time-series databases.
• Knowledge of containerization technologies (Docker) and orchestration platforms (Kubernetes).
• Background in financial trading systems or market data infrastructure.
• Familiarity with Agile methodology and tools (SAFe, JIRA, Confluence).
• Strong knowledge of messaging frameworks such as Kafka or ZeroMQ.
• Ability to work independently and collaboratively in a global, dynamic team environment.