Software Engineer III

Key Responsibilities

• Own the complete software development lifecycle (SDLC) for Command & Control Center platforms, products, automation frameworks, and engineering solutions.
• Design, develop, test, deploy, and maintain scalable, secure, resilient, and observable software solutions.
• Develop production-grade applications, services, APIs, automation platforms, bots, and integrations using Python (primary) and technologies such as JavaScript/TypeScript, Go, Java, C++, or C#.
• Apply software design principles, design patterns, secure coding practices, and engineering standards.
• Own production deployments through CI/CD pipelines using Concord, GitHub Actions, Jenkins, or equivalent platforms.
• Perform code reviews, design reviews, and architecture discussions.
• Monitor application health, usage patterns, and operational metrics post-deployment.
• Manage end-to-end ownership of software defects, enhancements, and technical improvements.
• Leverage telemetry, observability, and production insights to drive iterative improvements.
• Partner with Product Management, Program Management, Operations, User Experience, and Engineering teams.
• Translate business, stakeholder, and technical requirements into technical solutions.
• Design and deliver cloud-native software solutions, platforms, services, APIs, dashboards, and workflow automation systems.
• Design solutions with built-in observability, automation, self-healing capabilities, and operational intelligence.
• Build reusable engineering frameworks, shared services, and platform capabilities.
• Contribute to technical roadmaps and platform modernization initiatives.
• Utilize industry-standard observability tools — Grafana, Prometheus, OpenObserve, Splunk — and SRE practices.
• Hands-on with ServiceNow for workflow automation.
• Conduct application maintenance activities and re-engineering.
• Drive initiatives for operational efficiency and service quality improvement through automation and script development.
• Introduce AI Operations (AIOps) fundamentals and leverage LLM-based automation.
• Drive accountability for reliability and operational risks.
• Implement best practices for Incident, Problem, and Change Management aligned with ITIL principles.
• Monitor and alert on SLIs; triage, mitigate, and engage stakeholders upon SLA breach.
• Lead critical incident resolution and manage high-pressure situations.
• Define escalation protocols and ensure timely stakeholder communication.
• Perform Root Cause Analysis (RCA) and Correction of Error (COE).
• Build strong relationships with internal and external stakeholders.
• Maintain technical runbooks, knowledge repositories, and operational playbooks.
• Apply domain knowledge to optimize IT operations for retail environments.
• Bring an omni-channel perspective when triaging incidents.

Requirements & Tech Stack

• Python (primary)
• JavaScript/TypeScript, Go, Java, C++, or C#
• CI/CD pipelines using Concord, GitHub Actions, Jenkins, or equivalent
• Git
• JIRA, Confluence, PowerPoint, SharePoint, OneDrive, ServiceNow
• Observability tools: Grafana, Prometheus, OpenObserve, Splunk
• AI Operations (AIOps) fundamentals and LLM-based automation
• Exposure to frameworks and platforms in the Walmart stack (Azure, GCP, WCNP/AKS).

Qualifications

• BS/BE/BTech in Computer Science or a related field, or equivalent practical experience.
• 2.5 - 7 years of experience across software engineering, IT service management, operations, or site reliability engineering.
• At least 2 years partnering with or leading global cross-functional teams.
• Proven hands-on coding experience in Python and one or more of JavaScript/TypeScript, Go, Shell.
• Strong understanding of IT Operations, IT Service Management, Performance Engineering, and Site Reliability Engineering (SRE).
• Hands-on with CI/CD, version control (Git), and defect-tracking tools.
• Hands-on with collaboration and tracking tools: JIRA, Confluence, PowerPoint, SharePoint, OneDrive, ServiceNow.
• Knowledge of AI Operations (AIOps) fundamentals and practical experience with LLM-based automation.
• Proficiency in observability tools (Grafana, Prometheus, OpenObserve or similar) and SRE practices.
• Familiarity with Agile methodology, software design fundamentals, and project management basics.
• Exceptional communication and organizational skills with attention to detail.
• Ability to thrive in fast-paced environments and handle multiple priorities effectively.
• Experience in the retail industry operations and technology landscape (Preferred).
• Master’s degree in Computer Science, Information Technology, Engineering, Information Systems, Cybersecurity, or related area (Preferred).
• Knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility (Preferred).