Sr Software Engineer

Innovate in Bengaluru

This position is based at our on-site office in Bengaluru. Lowes offers an ultramodern work environment, complete with cutting-edge technology, collaborative workspaces, an on-site gym and clinic, and other perks to enhance your work experience.

About Lowe s

Lowe s is a FORTUNE 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.

Lowe s India, the Global Capability Center of Lowe s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India

Job Summary:

As a Senior Software Engineer Full Stack, you will serve as a technical senior engineer responsible for designing, developing, and delivering scalable, high-performing software solutions across frontend, backend, data, and AI-enabled systems. You will collaborate closely with Product Management, Architecture, Security, Infrastructure, Data Engineering, and Engineering teams to build enterprise-grade applications that are reliable, maintainable, secure, and aligned with business objectives. You will drive technical excellence by influencing architecture decisions, establishing engineering best practices, mentoring team members, and ensuring the successful delivery of business-critical solutions. The ideal candidate possesses deep expertise in modern web technologies, microservices architecture, cloud-native development, agile software delivery practices, and AI-enabled application development.
The ideal candidate has practical experience building AI-native systems that solve real business problems at scale. This includes working with LLMs, orchestration frameworks, tool-calling architectures, model context protocols, vector databases, prompt engineering, evaluation frameworks, guardrails, and enterprise AI integration patterns. This role requires an engineer who can execute direction from leadership, deliver results aligned with strategic objectives, communicate critical information across teams, support vendor and platform evaluations, and help develop engineering processes that align with organizational goals.

Roles & Responsibilities

• Design, develop, and maintain full-stack applications using React.js, Java, Spring Boot, and modern engineering frameworks.
• Build scalable, secure, and high-performing RESTful APIs, microservices, and backend services.
• Develop responsive and intuitive user interfaces with a focus on usability, accessibility, reliability, and performance.
• Collaborate with product owners, architects, UX designers, security teams, infrastructure teams, and engineering teams to deliver business solutions.
• Design and implement database solutions using PostgreSQL, MongoDB, Apache Druid, and BigQuery.
• Integrate applications with messaging and event-streaming platforms such as Apache Kafka.
• Design and build AI-enabled application capabilities using Large Language Models, AI agents, retrieval-based patterns, tool-calling workflows, and enterprise integration patterns.
• Develop production-ready AI-native features that integrate with internal APIs, databases, documents, operational systems, and enterprise platforms.
• Build and integrate agentic workflows using frameworks and platforms such as Google Agent Development Kit, LangChain, LangGraph, CrewAI, Semantic Kernel, or similar technologies.
• Implement Model Context Protocol-based integrations, including MCP servers, tools, and clients, to enable secure and reusable enterprise capabilities for AI systems.
• Design and implement Re…