23 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, build, and operate distributed platform services and APIs using Java, Python, and Kubernetes or equivalent cloud-native infrastructure.
- Apply domain-oriented design, system design, and low-level design to evaluate dependencies, trade-offs, failure modes, scalability, cost, and durability.
- Contribute directly to Spark-based data pipelines and processing jobs alongside platform engineering work.
- Build AI, GenAI, and agentic-powered platform capabilities, including developer tooling, workflow automation, agentic services, and AI-assisted operational tooling.
- Own service reliability, scalability, observability, service-level objectives, distributed tracing, alerting, and incident response.
- Guide architecture across microservices, event-driven systems, API design, and enterprise integrations.
- Partner with data engineers, data scientists, and ML engineers on platform primitives for data pipelines, feature stores, and model-serving paths.
- Establish engineering standards through architecture, design, code, and production-readiness reviews.
- Set technical direction, mentor engineers, and influence broader platform engineering standards without a management title.
- Evaluate and adopt platform, cloud, and AI or agentic technologies where they improve reliability, productivity, or business value.
Requirements
- 8+ years of professional software engineering experience building and operating large-scale distributed platforms.
- Strong proficiency in Java and Python; experience with Go, C++, or Scala is preferred.
- Experience with microservices, distributed systems, event-driven patterns, API design, service contracts, enterprise integration, domain-oriented design, and low-level design.
- 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 or LLM tooling, building agentic workflows, working with embeddings and vector search, and applying MLOps practices.
- Strong knowledge of observability, distributed tracing, logging, metrics, alerting, incident response, capacity planning, and fault tolerance.
- Knowledge of security, privacy, authentication, authorization, data protection, and secure API design.
- Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or a related technical field and 4 years of experience, or 6 years of software engineering experience; equivalent practical experience is also accepted.
- A Master's degree in a relevant computer science, engineering, or software field with 2 years of software engineering experience is preferred.
- Ability to translate ambiguous technical and business problems into execution plans and operate with high autonomy in a 0-to-1 environment.
Benefits
- Incentive awards may be available based on performance.
- Benefits include maternity and parental leave, PTO, and health benefits.
- This role is based in the Bangalore office for daily work, with flexibility for associates to manage their personal lives.
Tech Stack
Categories
BackendData Engineering
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.