Role: Lead Software Engineer External Title: Lead Software Engineer Internal Title: Senior Software Engineer

Job Description
If you are skilled at building software applications, have expertise in modern frontend technologies, cloud-native development, AI-assisted software engineering, and enjoy developing creative solutions to complex problems, then we want to hear from you We are looking for a highly motivated Lead Software Engineer who will lead the development of scalable, secure, and high-performing enterprise applications. This role requires strong expertise in Angular (Primary), React (Secondary), Python (Primary Backend), and .
NET Core (Secondary Backend), along with experience in modern software engineering practices, cloud technologies, technical leadership, and AI-driven development using GitHub Copilot and Coding Agents. Responsibilities
- Design, develop, and deploy end-to-end software solutions using the latest SPA (Single Page Application) and Micro-Frontend frameworks, while driving engineering strategy and technical excellence across teams.
- The selected resource will be responsible for end-to-end web application development for the Applications/Tools team, including Frontend, Middle Tier, and Backend implementations, with a strong preference and leadership focus on Frontend development.
- Develop modern, scalable, responsive, and reusable user interfaces using Angular (Primary) and React (Secondary).
- Design and develop secure, scalable APIs, microservices, and backend services using Python (Primary) and .
NET Core (Secondary).
- Should have expertise in writing unit tests, implementing automated testing strategies, and working with SQL Server as the backend repository.
- Leverage GitHub Copilot, GitHub Copilot Chat, GitHub Copilot Coding Agents, and AI-assisted development workflows within Visual Studio Code to improve engineering productivity, code quality, test coverage, and delivery velocity.
- Design, build, and maintain reusable Copilot Skills, Prompt Libraries, Agent Workflows, MCP (Model Context Protocol) integrations, Developer Accelerators, Templates, and Engineering Assets to improve consistency and scalability across teams.
- Drive adoption of AI-Driven Application Development Lifecycle (AIDLC) practices including requirements generation, architecture design, code generation, automated testing, code reviews, documentation generation, and application modernization initiatives.
- Work collaboratively in Agile Scrum teams including Developers, Senior Developers, Architects, Tech Leads, Product Owners, Scrum Masters, and QA/Automation Engineers. This may require one to two hours of overlap with global teams in the US (PST) based on project needs.
- Collaborate with QA Engineers and Product Owners to ensure quality is built into the product from requirements through deployment.
- Ensure products and features are designed to perform, scale, and operate reliably under load.
- Ensure technical decisions support organizational goals related to quality, scalability, reliability, maintainability, security, and performance.
- Take accountability for code quality assurance, architecture reviews, design direction, code review readiness, and technical debt identification and reduction.
- Promote collaboration, innovation, engineering best practices, and adoption of modern web development techniques.




- Practice TDD ensuring code is covered by unit and integration tests while continuously improving testability.
- Identify project risks proactively and work with leadership to define and execute mitigation plans.
- Participate in on-call support activities whenever required.
- Demonstrate strong knowledge of Software Development Life Cycle (SDLC) methodologies and Agile delivery practices.
- Work closely with Product Management teams to translate business requirements into technical solutions.
- Troubleshoot, diagnose, and resolve application issues while communicating progress, blockers, and status effectively.
- Delegate work and assignments to team members and mentor junior engineers on technology, domain knowledge, coding standards, AI-assisted development practices, and performance optimization techniques.
- Foster a culture of continuous learning, engineering excellence, ownership, accountability, and responsible AI adoption.
- Evaluate and adopt emerging AI-powered developer tools and technologies while ensuring governance, security, compliance, and engineering quality standards.
- Willingness to work in a fast-paced, highly collaborative, and energetic environment with distributed teams is a must. Qualification Requirements
- B.
Tech/BE in Computer Science, MCA, or related field.
- Highly proficient with 6–9 years of hands-on experience in the following: Frontend Technologies
- Solid working experience with Angular (Primary), React.js, JavaScript, TypeScript, HTML5, CSS3, SCSS, Micro-Frontend Architecture, Responsive Web Design, and modern frontend development practices.
- Strong understanding of frontend architecture patterns, state management, performance optimization, accessibility, and reusable component development.
- Experience building scalable enterprise-grade front-end applications with a focus on maintainability, performance, and user experience. Backend Technologies
- Strong hands-on experience with Python (Primary) using FastAPI, Flask, Django, REST APIs, Microservices, and distributed application development.
- Working experience with Microsoft development stack including C#, ASP.
NET MVC, Web API, .
NET Core, SQL Server, SQL Azure, and Microservices architecture.
- Experience designing and developing RESTful APIs and scalable enterprise applications.
- Experience implementing secure authentication and authorization mechanisms using industry-standard protocols and frameworks. Database Technologies
- Strong experience with SQL Server, SQL Azure, database design, query optimization, and performance tuning.
- Good knowledge of XML and JSON.
- Experience working with large-scale datasets and performance-sensitive applications. Software Engineering
- Hands-on experience with Object-Oriented Design and Software Engineering principles.
- Good working knowledge of enterprise architectural patterns and design patterns.
- Strong understanding of secure coding practices and application performance optimization.
- Good exposure to Unit Testing frameworks using MSTest, NUnit,



and xUnit.
- Knowledge of Test Automation frameworks is a plus.
- Strong experience using GitHub Copilot, GitHub Copilot Chat, GitHub Copilot Coding Agents, and AI-assisted software development tools within Visual Studio Code or similar development environments.
- Experience creating and maintaining Copilot Skills, Prompt Libraries, MCP Integrations, AI Agent Workflows, Developer Accelerators, Templates, and reusable engineering assets.
- Proven experience leveraging AI-assisted development for code generation, code reviews, documentation generation, modernization initiatives, automated testing, refactoring, and productivity improvements.
- Strong understanding of AI governance, responsible AI practices, validation of AI-generated code, and enterprise AI adoption strategies.
- Experience implementing AI-Driven Application Development Lifecycle (AIDLC) practices across planning, development, testing, deployment, and support activities. Cloud & DevOps
- Strong experience with Azure DevOps, including source control, CI/CD pipelines, automated deployments, release management, and integration of QA automation into deployment pipelines.
- Experience with cloud-native application development and deploying applications to Microsoft Azure.
- Knowledge of containerization technologies such as Docker and Kubernetes (AKS) is preferred.
- Experience with Azure services such as App Services, Functions, API Management, Key Vault, Application Insights, and Monitoring solutions is preferred.
- Experience integrating AI-powered development workflows into CI/CD and DevOps practices is desirable. Preferred Qualifications
- Prior experience with Entity Framework, Azure Data Factory, Azure Data Lake, Azure Application Insights, and Azure Monitoring solutions.
- Experience with event-driven architectures and messaging platforms such as Azure Service Bus or Kafka.
- Knowledge of Generative AI technologies, including Azure OpenAI, Retrieval-Augmented Generation (RAG), AI Agents, Prompt Engineering, Semantic Search, Vector Databases, Microsoft Agent Framework, Semantic Kernel, and Agentic AI frameworks.
- Experience building AI-powered solutions, Copilots, AI Agents, intelligent assistants, and enterprise AI applications.
- Hands-on experience with GitHub Copilot Enterprise, GitHub Copilot Coding Agents, Copilot Extensions, MCP Servers, Azure AI Foundry, Microsoft Agent Framework, and Agentic AI platforms.
- Experience implementing AI-driven engineering productivity initiatives and measuring development effectiveness through AI-assisted workflows and automation.
- Familiarity with vector databases, knowledge retrieval systems, semantic search, and Retrieval Augmented Generation (RAG) architectures. Soft Skills
- Excellent communication and interpersonal skills.
- Strong troubleshooting and problem-solving abilities.
- Ability to lead technical discussions and influence architectural decisions.
- Proven experience mentoring engineers and leading development teams.
- Strong ownership mindset with the ability to deliver high-quality solutions in a collaborative environment.
- Ability to effectively communicate technical concepts to business and non-technical stakeholders.
- Passion for innovation, continuous learning, engineering excellence, and adoption of modern AI-assisted software engineering practices.

📌 Lead Software Engineer (Hyderabad)
🏢 Providence India
📍 Hyderabad