16 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead the architecture, design, and hands-on development of scalable, secure, highly available enterprise applications.
- Own complex technical initiatives from architecture and proof of concept through implementation, deployment, production readiness, and continuous improvement.
- Drive design and code reviews, automated testing, observability, performance engineering, production reliability, security, and software-development practices.
- Apply cloud, data, AI, and ML engineering concepts to build intelligent capabilities and optimize infrastructure, cloud costs, model/API consumption, and token efficiency.
- Provide technical leadership and mentorship, influence architecture across teams, collaborate with product and business partners, and establish reusable engineering patterns and standards.
Requirements
- Strong experience building large-scale, production-grade distributed applications with deep backend expertise and the ability to work across the full stack.
- Proficiency in Java, Spring, Spring Boot, API development, object-oriented design, data structures, algorithms, concurrency, design patterns, and distributed-system fundamentals.
- Experience with React, JavaScript, TypeScript, and related web-development frameworks.
- Knowledge of system design, data modeling, relational and NoSQL databases, caching, asynchronous and event-driven architectures, scalability, performance, resiliency, and disaster recovery.
- Experience designing and operating applications on public cloud platforms such as GCP or Azure, including Docker and Kubernetes.
- Experience with automated testing, observability, logging, monitoring, alerting, CI/CD, and production support.
- Understanding of cloud architecture and FinOps principles, including improving infrastructure utilization, application efficiency, performance, and cloud cost.
- Exposure to ML engineering concepts and the software and data engineering considerations for integrating, deploying, monitoring, and operating ML-powered capabilities.
- Exposure to generative AI and LLM application development, including prompt and context design, model/API integration, evaluation, responsible AI, latency and cost trade-offs, and token optimization.
- Bachelor’s degree in a relevant computing field and 4 years of software engineering experience, or 6 years of software engineering experience.
- Preferred qualifications include a relevant master’s degree and 2 years of software engineering experience.
Benefits
- Incentive awards may be available based on performance, along with maternity and parental leave, PTO, health benefits, and other benefits.
- The role is based in the Bangalore or Chennai office for daily work, with flexibility to manage personal lives.
Tech Stack
Categories
About Walmart
Walmart is a global omnichannel retailer that sells groceries, general merchandise, and services through Walmart and Sam's Club stores and online marketplaces for consumers and small businesses. Its model spans physical retail, e-commerce, advertising, and a vast supply chain, plus pharmacy, health, and financial services. Founded in 1962 and headquartered in Bentonville, Arkansas, Walmart Inc. is a public company on the NYSE (WMT) operating in the U.S. and multiple international markets.