Senior, Software Engineer

Walmart · Bengaluru · 6–9 yrs experience · Posted 2026-03-20

Tech stack: Go, Java, Kubernetes, Python

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About the role

Sam's Club is our membership warehouse club, a business model that provides our members with high-quality products at prices that are unrivalled by traditional retail. Sam's Club provides a carefully curated assortment of items, as well as developing and leading technologies and services such as Scan & Go, Club Pickup, and home delivery service in select markets. Sam's Club also provides travel, auto purchasing, pharmacy, optical, hearing aid centers, tire and battery centres, and a portfolio of business operations support services.
You will work in a team of talented engineers to build robust, distributed and scalable applications in GenAI team. This is an Individual Contributor role, where you will Code, Design, Test, Deploy and Maintain Production systems.
Responsibilities:
- The primary responsibility of this role is to work on backend systems using Java or Python, leveraging GenAI tools to accelerate development, code refactoring, documentation, and problem analysis.
- In collaboration with product, engineering, and business teams, you will understand the problem space and design scalable solutions, using GenAI-assisted insights for requirement analysis, solution design validation, and impact assessment to improve application quality and stability.
- Along with driving quality engineering efforts, you will focus on improving issue detectability in lower environments by applying GenAI-powered analysis and automate repetitive/manual tasks using scripts and AI-assisted workflows.
- You will utilize GenAI for debugging, root cause analysis, and proactive monitoring, alongside hands-on experience with Kubernetes, logging frameworks, and deployment pipelines, to troubleshoot and resolve DevOps and production issues efficiently.
- You will actively contribute to microservices development, write effective and maintainable test cases enhanced by GenAI-based test coverage suggestions, and mentor junior engineers on both engineering best practices and responsible use of GenAI tools in day-to-day development.
Qualifications:
- Bachelor's/Master’s Degree and 6-9 years of experience in design and development of consumer facing software.
- Strong computer science fundamentals: data structures, algorithms, design patterns.
- Hands on experience in applications using Generative AI.
- Strong desire to drive change, and ability to adapt to change quickly.
- Strong hands on development skills to prototype technical solutions.
- Strong oral and written communication skills
- Ability to balance the long-term "big picture" and short term implications.
- of design decisions.
- Practical knowledge of agile software development methodologies
- Strong experience in coding with high quality for production use in scalable systems.
- Strong Java/J2EE, Python, or scripting development.
- Strong knowledge of Kubernetes, including how logging works and experience with deployment and troubleshooting DevOps issues.
- Experience in writing test cases and implementing automated testing frameworks.
- Familiarity with microservices architecture and the ability to design and implement scalable solutions.
- Good understanding of application and infrastructure as well as overall operations and network management eco-systems
- Motivated by challenges and have a proven track record for delivering results at scale
- Foster a motivating culture of openness, collaboration, and continuous improvement.

Qualifications

- Bachelor's/Master’s Degree and 6-9 years of experience in design and development of consumer facing software.
- Strong computer science fundamentals: data structures, algorithms, design patterns.
- Hands on experience in applications using Generative AI.
- Strong desire to drive change, and ability to adapt to change quickly.
- Strong hands on development skills to prototype technical solutions.
- Strong oral and written communication skills
- Ability to balance the long-term "big picture" and short term implications.
- of design decisions.
- Practical knowledge of agile software development methodologies
- Strong experience in coding with high quality for production use in scalable systems.
- Strong Java/J2EE, Python, or scripting development.
- Strong knowledge of Kubernetes, including how logging works and experience with deployment and troubleshooting DevOps issues.
- Experience in writing test cases and implementing automated testing frameworks.
- Familiarity with microservices architecture and the ability to design and implement scalable solutions.
- Good understanding of application and infrastructure as well as overall operations and network management eco-systems
- Motivated by challenges and have a proven track record for delivering results at scale
- Foster a motivating culture of openness, collaboration, and continuous improvement.

Responsibilities

- The primary responsibility of this role is to work on backend systems using Java or Python, leveraging GenAI tools to accelerate development, code refactoring, documentation, and problem analysis.
- In collaboration with product, engineering, and business teams, you will understand the problem space and design scalable solutions, using GenAI-assisted insights for requirement analysis, solution design validation, and impact assessment to improve application quality and stability.
- Along with driving quality engineering efforts, you will focus on improving issue detectability in lower environments by applying GenAI-powered analysis and automate repetitive/manual tasks using scripts and AI-assisted workflows.
- You will utilize GenAI for debugging, root cause analysis, and proactive monitoring, alongside hands-on experience with Kubernetes, logging frameworks, and deployment pipelines, to troubleshoot and resolve DevOps and production issues efficiently.
- You will actively contribute to microservices development, write effective and maintainable test cases enhanced by GenAI-based test coverage suggestions, and mentor junior engineers on both engineering best practices and responsible use of GenAI tools in day-to-day development.

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