Lowe'sFor more information, visit Lowes.com.
At Lowes India, we are the enablers who help create an engaging customer experience for our $90+ billion home improvement business at Lowes. Our 4000+ associates work across technology, analytics, business operations, finance & accounting, product management, and shared services. We leverage new technologies and find innovative methods to ensure that Lowes has a competitive edge in the market. To know more about Lowes India, visit Lowes.co.in
About the Team The Product Discovery organization powers the omnichannel product discovery experience for Lowes customers by delivering fast, relevant, and personalized search experiences across web, mobile, and in-store channels. The Search ecosystem comprises enterprise search platforms, search services, business applications, data ingestion pipelines, AI-enabled capabilities, and retail merchandising solutions that collectively enhance customer experience and drive business outcomes.
As part of the Search ecosystem, youll work on building scalable applications and services that support product discovery, search operations, merchandising, and retail innovation. The team collaborates closely with Product, Merchandising, Data Engineering, Infrastructure, and Architecture teams across India and the US to develop modern, cloud-native solutions that power millions of customer interactions while continuously improving platform capabilities, operational efficiency, and engineering excellence.
The ideal candidate has strong software engineering fundamentals, hands-on experience in Java and/or Python, exposure to modern front-end technologies, and a passion for building high-quality software. You will work closely with cross-functional teams to design, develop, test, and deploy solutions while contributing to search technologies, retail business capabilities, and cloud-native applications.
The candidate should be comfortable using AI-assisted engineering tools to improve development productivity, code quality, testing, documentation, and overall software delivery while applying sound engineering judgment and best practices.
Roles & Responsibilities
Develop backend services and REST APIs using Java and/or Python.
Build modern, responsive web applications using contemporary front-end frameworks.
Contribute to search services, business tooling, and retail applications that support product discovery and merchandising.
Develop and enhance APIs, microservices, and cloud-native applications following engineering best practices.
Collaborate with Product, Merchandising, Data Engineering, Infrastructure, and Architecture teams to deliver business-critical capabilities.
Participate in developing and enhancing search-related capabilities, including search services, indexing workflows, and retail search experiences.
Contribute to enterprise search initiatives where applicable.
Develop reliable, maintainable, and well-tested software using modern engineering practices.
Participate in code reviews, design discussions, and Agile ceremonies.
Troubleshoot production issues, perform root cause analysis, and implement sustainable fixes.
Build automation for testing, deployment, monitoring, and operational support.
Leverage AI-powered development tools (such as GitHub Copilot, ChatGPT, Cursor, Gemini Code Assist, or similar) to improve developer productivity, code quality, testing, and documentation.
Continuously learn emerging technologies in software engineering, retail search, cloud-native development, and AI-assisted engineering.
Experience developing enterprise applications using Java and/or Python.
Experience building REST APIs and microservices.
Experience with modern front-end technologies such as React, Angular, or similar frameworks.
Experience working with cloud-native applications and Agile software development.
Exposure to enterprise search platforms or retail/e-commerce applications is preferred.
Education Qualification & Certifications
Relevant certifications in Java, Python, Cloud Technologies, AI, or Full-Stack Development are an added advantage.
Full-stack application development.
React, Angular, or similar front-end frameworks.
REST APIs and Microservices.
Object-Oriented Programming and Design Principles.
SQL and NoSQL databases.
Cloud platforms (GCP preferred; AWS/Azure acceptable).
Docker, Kubernetes, and containerization.
CI/CD pipelines and Git-based development.
Linux/Unix fundamentals.
Strong analytical, debugging, and problem-solving skills.
Knowledge of distributed systems and event-driven architecture.
Understanding of software engineering best practices, unit testing, and secure coding practices.
Familiarity with AI-assisted software development tools such as GitHub Copilot, ChatGPT, Cursor, Gemini Code Assist, or similar.
Strong communication, collaboration, and learning mindset.
Kafka or other messaging and streaming technologies.
Retail or e-commerce domain experience.
Exposure to search technologies, indexing, and product discovery concepts.
Experience with observability tools such as Grafana, Prometheus, ELK, or Splunk.
Familiarity with AI/ML concepts, Generative AI, Vector Search, or Retrieval-Augmented Generation (RAG).
Experience building internal business applications or merchandising tools.
Lowes is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Interested in this role?