Software Engineer III
Walmart · Bengaluru · 3–6 yrs experience · Posted 2026-07-03
Tech stack: Azure, Docker, GCP, Java, JavaScript, Kubernetes, PostgreSQL, Python, React, Redis
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About the role
Join Sam’s Engineering team, where we design and build scalable solutions that enhance merchant experiences and drive business operations across both digital and physical channel. Our team operates in a collaborative, agile environment with a strong focus on innovation, reliability, and continuous improvement. We work with large-scale, distributed systems and partner closely with product, analytics, and engineering teams to deliver impactful products for our members.
Responsibilities:
- Design, develop, and deploy highly available, scalable cloud-native systems with a focus on reliability, performance, and maintainability
- Develop and optimize full-stack applications using Java 17, Spring 3, React 18, and JavaScript, ensuring high performance and reliability
- Support potential integrations of AI and associated technologies (LLMs, Gen AI, agentic frameworks) into production applications
- Build and maintain RESTful web services, messaging platforms, and PostgreSQL (including JSONB datatypes) for real-time data processing and storage
- Perform low- and high-level design and implement microservices-based solutions following service-oriented and domain-driven design principles
- Deploy and manage services on Azure or GCP using Docker and Kubernetes, and drive CI/CD and DevOps best practices
- Ensure system performance, reliability, and scalability through sound design patterns, JPA, Spring Security, and database optimizations
- Collaborate with engineers, data scientists, and product teams to define system architecture, APIs, and delivery roadmaps
- Contribute to a culture of continuous learning and innovation
Qualifications:
- 3-6 years of professional software engineering experience with a proven track record of delivering production-grade applications
- Strong problem-solving skills and the ability to make strategic tradeoffs in system design
- Excellent communication and collaboration skills — ability to influence, build consensus, and resolve conflicts
- Basic knowledge of AI concepts and practical applications (e.g. familiarity with machine learning fundamentals, AI-driven APIs, or integrating AI features into applications).
- Required: Java 17; Spring 3 & Spring Security; React 18; Cloud-native programming (microservices, 12-factor); Caching (Redis or Valkey); Design patterns / DDD / SOLID; JPA/ORM (Hibernate); Python 3; Git; Docker & Kubernetes; Practical ChatGPT/LLM usage; RESTful APIs & messaging platforms; PostgreSQL (including JSONB)
Qualifications
- 3-6 years of professional software engineering experience with a proven track record of delivering production-grade applications
- Strong problem-solving skills and the ability to make strategic tradeoffs in system design
- Excellent communication and collaboration skills — ability to influence, build consensus, and resolve conflicts
- Basic knowledge of AI concepts and practical applications (e.g. familiarity with machine learning fundamentals, AI-driven APIs, or integrating AI features into applications).
- Required: Java Spring 3 & Spring Security.
- React Cloud-native programming (microservices, 12-factor)
- Caching (Redis or Valkey)
- Design patterns / DDD / SOLID.
- JPA/ORM (Hibernate)
- Python Git.
- Docker & Kubernetes.
- Practical ChatGPT/LLM usage.
- RESTful APIs & messaging platforms.
- PostgreSQL (including JSONB)
Responsibilities
- Design, develop, and deploy highly available, scalable cloud-native systems with a focus on reliability, performance, and maintainability
- Develop and optimize full-stack applications using Java 17, Spring 3, React 18, and JavaScript, ensuring high performance and reliability
- Support potential integrations of AI and associated technologies (LLMs, Gen AI, agentic frameworks) into production applications
- Build and maintain RESTful web services, messaging platforms, and PostgreSQL (including JSONB datatypes) for real-time data processing and storage
- Perform low- and high-level design and implement microservices-based solutions following service-oriented and domain-driven design principles
- Deploy and manage services on Azure or GCP using Docker and Kubernetes, and drive CI/CD and DevOps best practices
- Ensure system performance, reliability, and scalability through sound design patterns, JPA, Spring Security, and database optimizations
- Collaborate with engineers, data scientists, and product teams to define system architecture, APIs, and delivery roadmaps
- Contribute to a culture of continuous learning and innovation