Software Engineer, DevOps, Cloud Engineer - Software

Position Summary...

What you'll do...

Role summary

The Staff Software Engineer delivers scalable platform capabilities and owns the full software development lifecycle: requirements, design, coding, testing, deployment, monitoring, and maintenance. The role needs deep expertise in cloud-native architecture, API design, and AI/ML integration to build resilient, modular solutions. It combines hands-on engineering with technical leadership, mentoring, and cross-team collaboration. The engineer uses data-driven decisions and continuous improvement to raise productivity and deliver high-quality software that meets business and technical goals.

Data Ventures drives Walmart's data transformation by delivering scalable B2B data solutions that give merchants and suppliers actionable insights. The team does end-to-end product development and values collaboration, technical excellence, and continuous improvement. Members use their skills in software development, AI integration, and platform design to build reliable, efficient systems. The team values innovation, accountability, and clear communication. It encourages learning and knowledge sharing across cross-functional groups.

• Assess gaps between customer and business expectations and the existing product. Classify requirements by type.
• Anticipate solution risks and issues early, inform stakeholders, and recommend corrective steps.
• Help create user stories for components and applications. Work with stakeholders to define technical requirements and success metrics.
• Evaluate change requests to decide which are valid and feasible.

• Deliver platform capabilities, including infrastructure, tooling, and ML frameworks, aligned with roadmap priorities.
• Apply cloud-native principles to build scalable, resilient, and agile systems.
• Design solutions where processes and applications work together. Evaluate trade-offs against business requirements.
• Turn high-level designs into detailed designs, using mock screens, pseudo code, and functional logic.
• Lead system design reviews to confirm quality and alignment with architectural standards.
• Help choose languages, development standards, and tools.

• Build AI-driven applications that integrate ML components and automation.
• Write clean, minimal code and configuration that meets business, technical, and non-functional requirements. Target low maintenance, high availability, and high scalability.
• Build scripts to automate repetitive work in CI/CD, testing, and other processes.
• Implement telemetry independently.
• Apply security policy requirements throughout development and configuration.

• Map customer requirements to test objectives. Create and run test cases and use the right tools for each type of testing.
• Track and analyze defects, run regression testing, and study past defects to prevent recurrence.

• Run deployment, monitoring, and maintenance. Handle complex maintenance procedures independently.
• Troubleshoot performance and availability bottlenecks.
• Track metrics and analyze logs, maintenance data, and performance data to guide improvements.
• Perform corrective, adaptive, and perfective maintenance and re-engineering.

• Mentor engineers, influence technical decisions, and promote engineering best practices.
• Keep improving processes, tools, and products through innovation and feedback.
• Learn new languages and frameworks that will be useful for future work.

• Proven expertise in cloud-native architecture, including microservices, containers, and automation, for scalable and resilient systems.
• Strong experience in software design patterns, API design, and prototyping that produces…