Sr Software EngineerFullStackJavaReactJS

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 Lowes

Lowes Companies Inc. (NYSE: LOW) is a FORTUNE 100 home improvement company serving approximately 16 million customer transactions a week with total fiscal year 2024 sales of more than $83 billion. Lowes employs approximately 300000 associates and operates over 1700 home improvement stores 530 branches and 130 distribution centers. Based in Mooresville N.C. Lowes 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 .

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

Job Summary

We are looking for a Senior Software Engineer to design develop and support scalable secure resilient and maintainable enterprise applications powering Lowes Pricing AI platform. This role is responsible for translating complex business requirements and functional specifications into high-quality production-ready software solutions that enable AI-driven pricing decisions across merchandising pricing optimization and revenue management initiatives.

The Senior Software Engineer will work closely with Product Managers Data Scientists Data Engineers Architects and Platform Engineering teams to design build and maintain modern full-stack solutions spanning frontend applications backend services APIs cloud-native platforms and data integrations. The role will contribute across the full Software Development Lifecycle (SDLC) from solution design and development through testing deployment production support and continuous improvement while accelerating experimentation model deployment and business decision-making.

This role combines strong software engineering fundamentals with modern cloud-native development AI-enabled engineering practices and operational excellence. The ideal candidate is passionate about building scalable software improving developer productivity through automation and AI and delivering reliable customer-focused solutions that drive business outcomes.

Key Responsibilities

• Design develop test deploy and support scalable secure resilient and maintainable full-stack solutions spanning frontend applications backend services APIs cloud-native platforms and data integrations aligned with business objectives and enterprise standards.
• Translate complex business requirements and functional specifications into technical designs executable user stories and high-quality software solutions across the full Software Development Lifecycle (SDLC).
• Build and enhance modern frontend applications backend services REST APIs microservices cloud-native platforms and data-driven services supporting Pricing AI products and enterprise applications.
• Own the end-to-end implementation and delivery of assigned features and projects proactively identifying technical risks dependencies and implementation challenges while ensuring timely delivery.
• Apply and promote engineering best practices including secure coding code reviews automated testing CI/CD performance optimization documentation and observability.
• Support operational excellence through monitoring incident response root-cause analysis production support performance tuning and continuous reliability improvements.
• Collaborate with Product Architecture Data Science Data Engineering Security Infrastructure and business stakeholders to deliver scalable reliable and customer-focused Pricing AI solutions.
• Mentor junior engineers through code reviews technical discussions knowledge sharing documentation and day-to-day engineering guidance.
• Evaluate and adopt modern technologies engineering tools automation and software development practices to improve engineering efficiency software quality and developer productivity.
• Contribute to technical design discussions system design reviews architecture reviews and engineering best practices to improve application scalability maintainability reliability and long-term platform evolution.

AI Adoption Expectations

• Identify opportunities to leverage AI to improve engineering productivity software quality automation and delivery efficiency.
• Utilize AI-assisted development tools and automation capabilities to accelerate software development testing documentation debugging code reviews and developer workflows while ensuring measurable business value.
• Promote responsible and effective use of AI by following established security compliance privacy and governance guidelines.
• Encourage the effective use of AI tools to improve software delivery knowledge sharing engineering documentation and operational excellence while maintaining engineering quality and standards.

Required Qualifications

• Bachelors degree in Computer Science Computer Information Systems (CIS) Engineering or a related field or equivalent practical experience.
• 5 years of software engineering experience.
• Strong experience developing full-stack enterprise applications across frontend backend APIs databases cloud-native platforms and data integrations.
• Strong proficiency in Java/Kotlin Spring Boot microservices Kafka ReactJS SQL & NoSQL databases and Python.
• Strong understanding of software engineering principles including software design system design design patterns data structures algorithms distributed systems and application scalability.
• Experience designing developing and implementing scalable distributed systems cloud-native applications and microservices architectures.
• Proven experience independently delivering complex technical solutions across the Software Development Lifecycle (SDLC) while collaborating with cross-functional engineering teams.
• Experience integrating enterprise applications with data platforms machine learning services APIs and cloud-native infrastructure.
• Strong collaboration and communication skills with engineering product data science architecture and business stakeholders.
• Highly adaptable flexible and able to quickly learn new technologies business domains and processes while effectively navigating evolving priorities and ambiguous situations.
• Experience with observability production support incident management monitoring and operational excellence practices.

Preferred Qualifications

• Experience with cloud platforms preferably Google Cloud Platform (GCP) or any Cloud Service.
• Experience with AI-assisted development tools engineering automation and modern software delivery practices.
• Experience in enterprise-scale retail eCommerce merchandising pricing supply chain or customer-facing applications.
• Experience contributing to application architecture technical design discussions system design reviews and engineering best practices.
• Experience adopting AI-enabled engineering practices to improve software quality developer productivity and delivery efficiency.
• Experience with Data Engineering technologies including GCP BigQuery Apache Spark Cloud Composer Airflow Kafka and related cloud-native data platforms.
• Experience integrating machine learning models AI-powered services or intelligent APIs into production applications.
• Familiarity with DevOps practices CI/CD pipelines containerization (Docker/Kubernetes) Infrastructure as Code and cloud-native application development.

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.