Software Engineer - (.NET & Test Automation)

About the role

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. 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

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