3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design, build, and operate distributed platform services and APIs using Java, Python, Kubernetes, or equivalent cloud-native infrastructure.
- Develop Spark-based data pipelines and processing jobs as needed alongside platform engineering work.
- Build AI, GenAI, and agentic-powered developer tooling, workflow automation, agentic services, and AI-assisted operational tooling.
- Own service reliability, scalability, observability, SLOs, distributed tracing, alerting, incident response, and capacity planning.
- Guide architecture and system design across microservices, event-driven systems, APIs, and enterprise integrations.
- Partner with data engineers, data scientists, and ML engineers on data pipelines, feature stores, and model-serving paths.
- Establish architecture, design, code, and production-readiness review standards for a newly formed team.
- Set technical direction, mentor engineers, and influence broader platform engineering standards without a management title.
- Evaluate and adopt platform, cloud, and AI technologies that improve reliability, productivity, or business value.
Requirements
- Minimum qualification is a bachelor’s degree in a relevant technical field plus three years of software engineering experience, or five years of software engineering experience without the degree requirement.
- The role’s stated experience expectation is 5–8 years of professional software engineering experience building and operating large-scale distributed platforms.
- Strong proficiency in Java and Python for writing, reviewing, and debugging production code is required.
- Experience with microservices, distributed systems, event-driven patterns, API design, service contracts, and enterprise integrations is required.
- Experience with cloud-native engineering, containerization, Kubernetes or equivalent orchestration, infrastructure automation, and production operations is required.
- Working-level Spark experience is required, with familiarity with Hadoop/HDFS, Hive, or Kafka.
- Experience integrating model APIs and GenAI/LLM tooling, building agentic workflows, using embeddings/vector search, and applying MLOps practices is expected.
- Strong knowledge of observability, distributed tracing, logging, metrics, alerting, incident response, capacity planning, and fault tolerance is required.
- Knowledge of authentication, authorization, data protection, secure API design, privacy, and enterprise engineering practices is required.
- Preferred qualifications include a relevant master’s degree, experience leading information security or cybersecurity projects, CISCO certification, and knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.
- Candidates should be able to translate ambiguous technical and business problems into execution plans and operate autonomously in a 0-to-1 environment.
Benefits
- The role is based in the Bangalore or Chennai office for daily work, with flexibility to manage personal lives.
- Benefits include performance incentive awards, maternity and parental leave, paid time off, health benefits, and other company benefits.
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.