Senior Software Engineer

Senior Software Engineer

Summary

Responsibilities

• Design and implement scalable database solutions utilizing PostgreSQL, MySQL, or SQL Server, ensuring data integrity and optimal query performance.
  
• Architect and develop distributed computing systems with a focus on high availability, fault tolerance, and efficient resource utilization.
  
• Lead performance tuning initiatives and establish comprehensive observability practices to monitor system health and proactively identify bottlenecks.
  
• Manage version control workflows and CI/CD pipelines using Git and Azure DevOps to streamline deployment processes.
  
• Champion Test-Driven Development (TDD) and Behavior-Driven Development (BDD) methodologies to ensure code reliability and reduce technical debt.
  
• Develop and maintain AI observability frameworks to track and analyze the behavior of intelligent systems and agents.
  
• Build and integrate RESTful APIs and microservices to support modular, loosely coupled application architectures.
  
• Engineer AI agents and agentic workflows, utilizing cutting-edge tools like GitHub Copilot, Claude Code, and Cursor to enhance developer productivity.
  
• Create and deploy Model Context Protocol (MCP) LLM applications and integrate various AI APIs to extend system capabilities.
  

Requirements

• Possess 5 to 15 years of professional software engineering experience within the IT Services sector.
  
• Demonstrate expert proficiency in relational database management systems, specifically PostgreSQL, MySQL, or SQL Server.
  
• Show proven expertise in system design principles, particularly regarding distributed computing environments.
  
• Have a strong track record in performance optimization and implementing observability solutions for complex systems.
  
• Be well-versed in version control systems (Git) and continuous integration/continuous deployment (CI/CD) platforms like Azure DevOps.
  
• Exhibit deep knowledge of testing frameworks, including TDD and BDD practices.
  
• Understand the landscape of AI development, including AI agents, agentic workflows, and AI observability.
  
• Experience working with modern AI-assisted coding tools such as GitHub Copilot, Claude Code, and Cursor.
  
• Ability to develop MCP LLM applications and integrate external AI APIs effectively.
  
• Salary expectations should align with the range of ₹8-14 LPA based on experience and skill set.