Lead Software Engineer - Java & AI

Overview

Lead Software Engineer role providing hands-on technical leadership across application design, development, testing, deployment, and production support, while driving adoption of Generative AI and AI-assisted development tools.

What you'll do

• Lead complex technology initiatives, including companywide initiatives with broad impact.
• Act as a key participant in developing standards and companywide best practices for engineering complex, large-scale technology solutions.
• Design, code, test, debug, and document for projects and programs.
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, the enterprise technological environment, and technical challenges requiring in-depth evaluation of multiple factors.
• Make decisions on standard and companywide best practices for engineering and technology solutions, influencing and leading the technology team to meet deliverables and drive new initiatives.
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals.
• Lead projects and teams, or serve as a peer mentor.
• Lead the design and development of complex enterprise applications using Java, Spring Boot, microservices, REST APIs, and modern web technologies.
• Design scalable, secure, highly available, and maintainable application architectures.
• Provide hands-on technical leadership throughout the software development lifecycle, including design, coding, testing, deployment, troubleshooting, and production support.
• Develop reusable services, APIs, frameworks, and application components that improve engineering productivity and consistency.
• Build modern user experiences using technologies such as React, Angular, JavaScript/TypeScript, HTML and CSS.
• Design and develop RESTful APIs, microservices, and event-driven applications using technologies such as Spring Boot and Kafka.
• Apply appropriate software design patterns, domain-driven design principles, API standards, and engineering best practices.
• Conduct code reviews, design reviews, and technical walkthroughs, identifying opportunities to improve performance, maintainability, security, and code quality.
• Troubleshoot complex application, integration, performance, and production issues and drive them to resolution.
• Champion automated testing, CI/CD, DevSecOps, and engineering automation across the software development lifecycle.
• Work with relational and NoSQL databases and develop efficient data-access and integration patterns.
• Collaborate with Product, Architecture, Information Security, Infrastructure, and other engineering teams to translate business requirements into technical solutions.
• Evaluate emerging technologies through technical assessments, prototypes, and proof-of-concepts.
• Apply Generative AI and AI-assisted development techniques across the software engineering lifecycle, using tools such as GitHub Copilot, Microsoft Copilot, Devin AI, and similar tools, while following enterprise security, privacy, and software engineering standards.
• Identify opportunities to use AI for code generation, code understanding, unit testing, documentation, refactoring, debugging, and developer productivity.
• Design and develop applications that integrate with Large Language Models (LLMs) and Generative AI capabilities.
• Develop practical understanding of prompt engineering, RAG, vector databases, embeddings, AI agents, MCP servers, and Agent-to-Agent (A2A) concepts.
• Build or contribute to AI-powered applications and intelligent workflows using enterprise-approved AI platforms and APIs.
• Evaluate AI-generated code for correctness, security, performance, maintainability, and compliance rather than relying on AI-generated output without engineering review.
• Explore emerging agentic software engineering approaches and automation opportunities that can accelerate application development, testing, and maintenance.
• Help establish engineering practices for the responsible and secure adoption of AI-assisted development tools.
• Serve as a technical lead and hands-on engineer, providing technical direction to software engineering teams.
• Mentor Software Engineers and Senior Software Engineers on Java, Spring Boot, application architecture, design patterns, and modern engineering practices.
• Provide guidance on complex design, coding, and troubleshooting challenges.
• Drive engineering excellence through clean code, automated testing, reusable components, automation, and continuous improvement.
• Facilitate design reviews, code reviews, technical discussions, and knowledge-sharing sessions.
• Encourage engineers to experiment with and responsibly adopt new AI and developer productivity tools.
• Partner with Product Owners and other stakeholders to understand requirements, identify technical dependencies, and support delivery planning.
• Provide technical estimates and identify engineering risks, dependencies, and implementation options.
• Demonstrate ownership beyond individual assignments and help the broader engineering team achieve technology and business outcomes.

What you'll need

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, or education.
• Bachelor's degree in engineering, Computer Science, or equivalent practical experience.
• Strong hands-on software engineering experience developing enterprise-scale applications.
• Strong hands-on development experience with Java and Spring Boot.
• Experience designing and developing microservices and REST APIs.
• Experience with Spring ecosystem technologies, including Spring Boot, Spring MVC, Spring Data, and Spring Security.
• Experience with front-end technologies such as React or Angular, JavaScript/TypeScript, HTML, and CSS.
• Strong understanding of object-oriented programming, design patterns, data structures, and software engineering principles.
• Experience applying AI/GenAI capabilities to real-world software engineering or business use cases.
• Experience with relational databases such as Oracle, PostgreSQL, or SQL Server, along with strong SQL skills.
• Experience with distributed technologies and messaging platforms such as Kafka.
• Experience with automated testing frameworks including JUnit, Mockito, Selenium, or comparable technologies.
• Strong understanding of CI/CD, Git, Maven/Gradle, SonarQube, and artifact management.
• Experience with containerized application platforms such as Kubernetes or OpenShift/OCP.
• Working knowledge of public cloud platforms such as GCP or Azure, particularly for deploying and operating modern applications.
• Understanding of Generative AI, Large Language Models, and AI-assisted software engineering.
• Experience using or evaluating AI coding assistants and developer productivity tools.
• Ability to perform code reviews, solution design reviews, debugging, and troubleshooting of complex enterprise applications.
• Strong verbal, written, and interpersonal communication skills.
• Ability to work effectively in an Agile environment using Scrum or Kanban.
• Demonstrated ability to mentor engineers and provide technical leadership without requiring direct people-management responsibility.

Details

• Location: Hyderabad, India.
• Posting end date: 18 Nov 2026.