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.
About the team
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.
What you'll do
Requirements and planning
- 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.
Design and architecture
- 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 and automate
- 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.
Test and quality
- 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.
Operate and maintain
- 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.
Leadership and growth
- 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.
What you'll bring
- 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 maintainable, modular solutions.
- Proficiency in languages such as JavaScript, TypeScript, Python, Java, Rust, Dart, or C++.
- Demonstrated ability to lead the full software development lifecycle, including CI/CD, observability, and maintenance.
- Skill in DevOps practices that improve platform capabilities and developer productivity.
- Experience with software testing, defect analysis, and regression practices.
- Ability to troubleshoot performance and availability problems and to maintain applications independently.
- Experience applying data-driven decision making to improve engineering processes and outcomes.
- Ability to run thorough design reviews and remedial actions that uphold engineering excellence.
- Strong communication and collaboration skills, with a commitment to mentoring and continuous learning.
ㅤ
ㅤ
ㅤ
ㅤ
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.Option 2: 6 years’ experience in software engineering or related area.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.