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.

Shift timings :

- Morning Shift : 4am to 2 pm.

- Evening Shift : 12 pm to 8pm.

- Night shift : 8pm to 4 am.

Role & Responsibilities :

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.

Preferred candidate profile :

- 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.