1 day ago
Bengaluru, IndiaSenior
Responsibilities
- Design, build, and operate distributed platform services and APIs using Java and Python on Kubernetes or equivalent infrastructure.
- Apply system design and low-level design practices while evaluating dependencies, failure modes, scalability, trade-offs, and cost.
- Contribute to Spark-based data pipelines and data-processing jobs alongside platform engineering work.
- Build AI, GenAI, and agentic-powered developer, workflow automation, and operational tooling.
- Own reliability, scalability, observability, SLOs, alerting, distributed tracing, and incident response for owned services.
- Contribute to microservices, event-driven architecture, API design, and enterprise integration decisions.
- Partner with data engineers, data scientists, and ML engineers on data pipelines, feature stores, and model-serving paths.
- Participate in architecture, design, code, and production-readiness reviews.
- Mentor early-career engineers and contribute technical judgment without formal people-management responsibilities.
- Help establish engineering processes and improve platform, cloud, AI, reliability, and productivity practices in a 0-to-1 environment.
Requirements
- At least 3 years of software engineering experience with a bachelor's degree in a related field, or 5 years of software engineering experience without the degree requirement.
- Strong hands-on proficiency in Java and Python for production coding, review, and debugging.
- Experience building and operating distributed platforms, microservices, event-driven systems, APIs, service contracts, and enterprise integrations.
- Strong system design and low-level design skills with demonstrated ownership of production code.
- Experience with cloud-native engineering, containerization, Kubernetes or equivalent orchestration, infrastructure automation, and production operations.
- Working-level experience with Spark and familiarity with Hadoop/HDFS, Hive, or Kafka.
- Hands-on experience integrating model APIs and GenAI/LLM tooling, building agentic workflows, using embeddings/vector search, and applying MLOps practices.
- Knowledge of observability, distributed tracing, logging, metrics, alerting, incident response, capacity planning, fault tolerance, security, privacy, authentication, authorization, and secure API design.
- Ability to create execution plans, manage scoped technical problems, operate autonomously, and escalate cross-team ambiguity appropriately.
- Preferred experience with Go, C++, Scala, a master's degree, information-security or cybersecurity project leadership, WCAG 2.2 AA, assistive technologies, digital accessibility, or Cisco certification.
Benefits
- Performance-based incentive awards, maternity and parental leave, PTO, health benefits, and other company benefits.
- Daily work from the Bangalore or Chennai office, with flexibility to manage personal lives.
- Inclusive workplace culture focused on belonging, respect, and equal opportunity.
Tech Stack
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.