Software Engineer (.NET And Test Automation)

Description

We are looking for a highly motivated software engineer with strong expertise in .NET (C#), Node.js, and test automation to join our software engineering team supporting enterprise business platforms and wealth & asset management initiatives.

The ideal candidate will have strong backend development experience, hands-on expertise in automation testing, and experience building scalable enterprise applications. This role also requires exposure to AI-assisted development, CI/CD automation, and modern software engineering practices.

Requirements

Key Responsibilities

Backend & Application Development

• Design, develop, and maintain scalable backend applications using .NET (C#).
• Build secure, scalable, and high-performance RESTful APIs and microservices using Node.js.
• Develop and optimize MS SQL Server databases, stored procedures, and complex T-SQL queries.
• Ensure application performance, reliability, scalability, and high availability.
• Troubleshoot production issues and provide application support when required.
• Follow software engineering best practices, coding standards, and secure development principles.

Automation & Quality Engineering

• Design, develop, and maintain end-to-end automation testing frameworks from scratch.
• Develop automation scripts using tools such as:
• Playwright
• Cypress
• Selenium
• Execute automated regression, integration, and functional testing.
• Improve software quality through automation-first engineering practices.
• Work closely with development and QA teams to ensure comprehensive test coverage.

CI/CD & DevOps

• Build and maintain CI/CD pipelines for automated build, testing, and deployment.
• Support release management and deployment automation.
• Improve engineering efficiency through automation and DevOps best practices.
• Collaborate with cross-functional teams to ensure smooth software delivery.

Process Improvement & AI Integration

• Review existing engineering workflows and identify opportunities for automation.
• Leverage AI-powered development tools to improve engineering productivity.
• Apply large language models (LLMs) and AI technologies where appropriate to automate engineering and data-related processes.
• Research and evaluate emerging AI tools and modern software engineering practices.

Required Technical Skills

• 5+ years of hands-on experience with .NET (C#) backend development.
• Strong experience developing scalable applications using Node.js.
• Expertise in building RESTful APIs and microservices.
• Strong proficiency in MS SQL Server, database design, query optimization, and T-SQL.
• Strong experience with automation testing tools such as:
• Playwright
• Cypress
• Selenium
• Experience developing automation frameworks from scratch.
• Strong understanding of software testing methodologies and quality engineering.
• Hands-on experience with Git, version control, and branching strategies.
• Strong experience building and maintaining CI/CD pipelines.
• Experience troubleshooting production issues and improving application performance.

Nice to Have

• Experience with AI-assisted coding tools such as GitHub Copilot, Cursor, Claude Code, or similar.
• Exposure to LLMs and AI-driven engineering workflows.
• Experience with cloud platforms (Azure or AWS).
• Knowledge of Docker, Kubernetes, or containerized deployments.
• Experience working with wealth management or asset management platforms.
• Understanding of Agile and Scrum methodologies.

Required Competencies

• Strong analytical and problem-solving skills.
• Excellent debugging and troubleshooting capability.
• Strong ownership mindset with a focus on delivery and quality.
• Ability to work independently and collaboratively in Agile teams.
• Excellent communication and stakeholder management skills.
• Passion for continuous learning and adopting modern technologies.
• Ability to work in fast-paced enterprise environments.

Preferred Domain Experience

• Banking
• Financial services
• Wealth management
• Asset management
• Enterprise business platforms