(IND) STAFF, SOFTWARE ENGINEER

Position Summary...

What you'll do...

About Team: Corporate Technology and Services (CTS) is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and Associate Digital Experience.

Within CTS, our team processes the payment for suppliers of Walmart Warehouses who spread across United States and other 26 countries including South Africa, Argentina, Canada, Central America, Chile, China, India, Japan, and Mexico.

We ensure timely and accurate payments by reconciling the supplier's merchandise against the invoices presented for the items ordered.

As a Staff Engineer, you will be working with a high performing team of 10 to 20 engineers.

You will provide technical leadership and be accountable for the technical architecture of software applications built, released and deployed through sophisticated CICD pipelines.

You will drive the development of the next generation Walmart suite of products by mentoring engineers in building scalable, resilient, robust cloud-based solutions.

Your role is expected to make a difference to the products in terms of the scalability, quality, and agility of the deliverables.

What you'll do: Guide the team in architectural decisions and best practices for building scalable applications.

Drive design, development, implementation and documentation Build, test and deploy cutting edge solutions at scale, impacting associates of Walmart worldwide.

Interact with Walmart engineering teams across geographies to leverage expertise and contribute to the tech community.

Engage with Product Management and Business to drive the agenda, set your priorities and deliver awesome products.

Drive the success of the implementation by applying technical skills, to design and build enhanced processes and technical solutions in support of strategic initiatives.

Work closely with the Architects and cross functional teams and follow established practices for the delivery of solutions meeting QCD (Quality, Cost & Delivery).

Within the established architectural guidelines.

Work with senior leadership to chart out the future roadmap of the products Participate in hiring and building teams enabling them to be high performing agile teams.

Interact closely for requirements with Business owners and technical teams both within India and across the globe.

What you'll bring: Bachelor's/Master’s degree in Computer Science, engineering, or related field, with minimum 10+ years of experience in software design, development and automated deployments.

Have prior experience in delivering highly scalable large scale data processing Java applications.

Strong in high- and low-level system design.

Should be experienced in designing data intensive applications in open stack.

A good understanding of CS Fundamentals, Microservices, Data Structures, Algorithms & Problem Solving Should be experienced in CICD development environments/tools including, but not limited to, Git, Maven, and Jenkins.

Strong in writing modular and testable code and test cases (unit, functional and integration) using frameworks like JUnit, Mockito, and Mock MVC Hands on experience building Java-based backend systems and experience working in cloud-based solutions is a must.

Proficient in Java, Spring Boot, Kafka, and Spark.

Experienced in microservices architecture.

Possesses good understanding of distributed concepts, common design principles, design patterns and cloud native development concepts.

Hands-on experience in Spring boot, concurrency, garbage collection, RESTful services, data caching services and ORM tools.

Experience working with Relational Database and writing complex OLAP, OLTP and SQL queries.

Provide multiple alternatives for development frameworks, libraries, and tools.

Experience in working with NoSQL Databases like cosmos DB.

Experience in working with Caching technology like Redis, Mem cache or other related Systems.

Experience in event-based systems like Kafka.

Experience utilizing monitoring and alert tools like Prometheus, Splunk, and other related systems and excellent in debugging and troubleshooting issues.

Exposure to Containerization tools like Docker, Helm, Kubernetes.

Knowledge of public cloud platforms like Azure, GCP, etc. will be an added advantage.

An understanding of Mainframe databases will be an added advantage.

Good to Have • Python — ability to read/write Python for scripting, data pipelines, or lightweight AI/ML tooling that complements the core Java stack.

Familiarity with architecting GenAI-augmented features within existing Java/Spring Boot systems — knowing when an LLM-based solution is (and isn't) the right architectural choice compared to traditional rule-based or ML approaches.

•Understanding of Retrieval-Augmented Generation (RAG) patterns at a system-design level — evaluating vector store options (Pinecone, Azure AI Search, pgvector), chunking/embedding strategies, and how retrieval pipelines fit into existing service architectures.

•Exposure to integrating and governing LLM APIs (OpenAI, Azure OpenAI, Anthropic, or open-source models) in production — able to reason about latency budgets, failure handling, and fallback strategies at scale across a large engineering org.

•Awareness of agentic system design (tool-calling, multi-step orchestration, single vs. multi-agent topologies) and frameworks such as LangChain / LangGraph / Semantic Kernel — enough to guide teams on when agentic patterns add value vs. unnecessary complexity.

•Ability to guide the team on responsible AI practices: prompt injection risks, output validation/guardrails, PII handling, model versioning, and auditability — especially relevant given the financial/payments domain this team operates in.

•Comfort evaluating inference cost and performance trade-offs (token usage, caching strategies, model selection between small vs. large models) when advising on AI-related architectural decisions.

•Experience mentoring engineers on AI-assisted de