Translate business and technical requirements into scalable, secure, reliable, and maintainable solutions. Apply modern engineering practices, including Agentic Software Engineering tools and AI-assisted SDLC capabilities, to improve engineering productivity and quality. Collaborate with product management, partner teams, and service owners to deliver customer and business value.

Participate in architecture and design discussions and contribute to technical design decisions. Implement engineering good practices to build high-quality, maintainable software and services Improve service reliability, scalability, performance, and observability through automation, telemetry, monitoring, testing, and data-driven insights. Investigate and resolve production incidents, performance bottlenecks, and reliability issues.

Contribute to engineering excellence through code reviews, knowledge sharing, process improvements, and adoption of emerging technologies and practices. Identify and address technical debt, modernization opportunities, code reuse, and cost optimization initiatives. Use data, customer feedback, and operational insights to inform technical decisions and improve user experiences.

Contribute to quality goals by defining, measuring, and validating service and product quality. Continuously learn and adopt new technologies, tools, and engineering practices. Build and operate solutions in compliance with security, privacy, and regulatory requirements.

Work collaboratively across team boundaries to resolve issues and deliver successful outcomes. Embody our culture and values 7+ years of experience in software engineering, including design, development, deployment, and operations of enterprise-grade applications and services.

Experience working with modern SDLC platforms, engineering toolchains,



and Open Source/InnerSource development practices to deliver secure, reliable, and scalable software solutions. Hands-on experience with DevOps, DevSecOps and Agentic Software Engineering Valuable technical expertise in one or more of the following technologies: .NET, SQL, Cosmos DB, Python, Azure CLI, PowerShell, YAML, Node.js, or React.js Design and implement intelligent, context-aware software systems by leveraging appropriate Language Models (S/LLMs), and agentic coding frameworks Ability to read, interpret and/or develop technical specifications, diagrams, and infrastructure blueprint. Demonstrated understanding of database design, data modeling, and implementation patterns for a variety of application scenarios Good sense of ownership, accountability, and commitment to delivering high-quality products and services with an good end-user experience Proven ability to troubleshoot production incidents, diagnose complex technical issues, and operate highly available, reliable services.

Ability to analyze operational, customer, and engineering data to identify issues, drive improvements, and support technical decision-making. Good collaboration, communication, and problem-solving skills, with the ability to work effectively across engineering and product teams. Bachelor's degree and 7+ years of professional software engineering experience with one or more modern programming languages such as C#, Python, JavaScript/TypeScript, or similar 3+ years of experience in building and operating enterprise applications on Azure/D365/M365.

Experience with AI-powered applications, agentic workflows, or AI-assisted software engineering.

Experience with DevSecOps and cloud service operations.

Experience with Open Source or InnerSource development models. Good troubleshooting, communication, and collaboration skills. Azure and AI certifications are a plus.

📌 Software Engineer II (Hyderabad)
🏢 Microsoft
📍 Hyderabad