Senior Engineer - Full Stack Developer

Overview

Design, develop and maintain robust, scalable financial technology solutions, working across the full software development life cycle from front-end user interfaces to back-end services and database interactions.

What you'll do

• Develop and maintain full-stack applications using front-end frameworks (e.g., React, Angular, ASP .Net), back-end languages (e.g., Java, Python, C#), and database systems (e.g., SQL Server, Oracle, MongoDB).
• Collaborate with product owners, business analysts and other developers to understand requirements, design technical solutions and estimate effort.
• Write clean, efficient, well-documented and testable code following best practices and architectural patterns.
• Participate in code reviews to ensure code quality, consistency and adherence to standards.
• Design and implement RESTful APIs and microservices.
• Troubleshoot and debug production issues, providing timely resolutions and root cause analysis.
• Contribute to continuous improvement initiatives for development processes, tools and methodologies.
• Mentor junior developers and share knowledge within the team.
• Stay up to date with emerging technologies and industry trends.

What you'll need

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Minimum of 7 years of progressive experience in full-stack software development.
• Experience in at least one modern front-end framework (e.g., ASP .Net, React, Angular, Vue.js) and associated technologies (HTML5, CSS3, JavaScript/TypeScript).
• Experience with at least one back-end programming language (e.g., Java, Python, C#) and relevant frameworks (e.g., Spring Boot, .NET Core, Django, Flask).
• Solid understanding of relational and/or NoSQL databases, including schema design, querying and optimization.
• Demonstrated ability to work independently and collaboratively in a fast-paced, agile environment.
• Excellent problem-solving, analytical and communication skills.

Nice to have

• Using AI copilots (GitHub Copilot, Cursor, Antigravity) to accelerate development.
• Applying LLMs (ChatGPT, Claude, Gemini) for code generation, review, refactoring and debugging.
• Familiarity with Figma for design collaboration.
• Understanding responsible AI usage including data privacy and security.
• Understanding how to deploy agents to production scale using AWS Bedrock, Vercel, etc.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience in the financial services industry.

Details

• Location: Hyderabad.