Walmart - Software Development Engineer III - Data Services

About the team:

Walmart GTP team is the Platforms team for Walmart. This position is for Data Services First Contact team where the team is responsible to take care of support & operational activities for Search products viz., Elastic Search, Open Search &

• Solr. Building automations for mundane tasks & amplifying operational excellence is the main focus for the team.

This team works in rotational shift which changes in every two weeks.

What Youll Do:

Automation Engineering:

• Design, develop, and maintain automation solutions to eliminate repetitive manual tasks across engineering workflows.
• Leverage scripting/coding languages (Java, Python, Shell, SQL etc.) and automation frameworks to increase engineering efficiency and consistency.
• Knowledge of AI-powered developer productivity tools e.g., GitHub Copilot, Generative AI tools and Large Language Model (LLM) concepts, Prompt engineering techniques for code generation, debugging, ML/AI frameworks at a working level, Vector databases, embeddings, and Retrieval-Augmented Generation (RAG), MLOps. Proactively identify candidates for automation across operations, deployments, and testing pipelines.
• Triaging &
• Issue Resolution - Analyze, prioritize, and resolve technical issues for products (Elastic Search, Open Search, Solr) of moderate to high complexity with a strong sense of ownership.
• Support Customers on product issues.
• Work on operational change requests. Familiar with tools like JIRA, Service NOW, Splunk, Grafana, MMS.

Incident Management:

Cloud, Data &

• DevOps:
• Leverage DevOps toolchains for CI/CD, container orchestration, and application lifecycle management.

What Youll bring:

• Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
• 6 years of hands-on software development & platform engineering experience.
• Proficiency in: Java, Python for production-grade development.
• Work experience in Search products viz., Elastic Search, Solr &
• Open Search is a big plus.
• Experience with monitoring and observability platforms such as Splunk, Grafana, Kibana, or OpenObserve.
• Experience with cloud platforms Azure, GCP, or AWS including managed services and infrastructure-as-code.
• Hands-on experience with DevOps practices and CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Familiarity with Kubernetes and container-based application deployment at scale.
• Experience with incident management processes, ITSM tools (e.g., ServiceNow, PagerDuty, XMatters, JIRA), and SLA-driven operations.
• Working knowledge of configuration management tools and release management processes.
• Solid understanding of automation tooling and scripting (Shell, Python).
• Exposure to network monitoring concepts, SLIs/SLOs, and alerting frameworks.
• Experience working with data engineering pipelines or data platform infrastructure (e.g., Spark, BigQuery, Kafka).
• Knowledge of security best practices vulnerability management, RBAC, secret management.
• Understanding of Agile/Scrum methodologies, sprint planning, and backlog grooming.
• Familiarity with requirement management practices including traceability matrices and risk classification.
• Ability to work in rotational/shift models (24/7) and support on-call escalations.
• Strong written and verbal communication skills for customer handling, technical documentation and stakeholder collaboration.
• Prior experience mentoring junior engineers or leading technical discussions in a team setting.