(USA) Software Engineer III - job 6 of 25

As a Software Engineer III at Walmart, you will be at the forefront of developing innovative software solutions. Your key responsibilities will include designing and developing platform features, collaborating with cross-functional teams to gather requirements, and leveraging technologies like Generative AI to enhance the merchant experience with Wally. You'll also lead project discovery phases, implement scalable systems using Java or Kotlin, and ensure high-performance testing and monitoring.

To qualify for the Software Engineer III position at Walmart, candidates should possess a Bachelor's degree in Computer Science or a related field along with at least 2 years of software engineering experience, or 4 years of equivalent experience. Proficiency in modern programming languages such as Java, Kotlin, or Python, experience with API implementation in microservice architecture, and knowledge of Cloud Computing platforms are also important.

Walmart is committed to fostering the professional development of its associates, including Software Engineer III candidates. Through our Live Better U program, we provide education benefits covering tuition, books, and fees for various degree programs and certifications. Additionally, we promote skill enhancement through access to training, collaborative projects, and mentorship from experienced team members.

Walmart operates a hybrid work model for Software Engineer III roles, combining in-office collaboration at our Bentonville location with virtual work as needed. This flexible approach not only enhances teamwork and innovation but also allows associates to achieve a better work-life balance, enabling them to be more effective in their personal and professional lives.

In the role of Software Engineer III at Walmart, you will work with a variety of cutting-edge technologies. Key focus areas include Generative AI applications, programming with Java, Kotlin, and Python, microservices architecture, cloud platforms like Microsoft Azure or Google Cloud, along with tools such as Kubernetes, Docker, and observability tools like Splunk and Grafana.

When answering this question, emphasize specific projects where you utilized Generative AI. Discuss your understanding of the various capabilities of Generative AI and how you implemented this technology to solve real-world problems. Being able to convey not only your technical skills but also the impact your work had on the project’s outcomes is crucial.

Talk about techniques you've applied in previous roles, such as load testing, profiling, or building resilient architectures. Highlight your experience with specific tools or methodologies that ensure high performance, such as optimizing database queries or leveraging caching mechanisms, and be prepared to give examples of how these strategies were successfully implemented.

Use this opportunity to illustrate your problem-solving methodology, emphasizing a structured approach: breaking down the problem into manageable parts, conducting root cause analysis, and collaborating with team members for diverse insights. Sharing a specific example of a challenge you faced and how you navigated it will provide a more compelling answer.

When discussing your experience with microservices architecture, provide examples of projects where you designed or built microservices. Explain the benefits you observed, such as improved scalability and flexibility, along with any challenges you encountered like service communication or data consistency, and how you addressed these challenges.

Focus your answer on any API projects you’ve worked on, detailing design approaches (RESTful APIs, GraphQL, etc.), and the standard practices you used for documentation, versioning, and security. Discuss how you ensured that APIs were user-friendly and performant, including any relevant tools you employed.

Be specific about a situation where you've collaborated with product managers, designers, or QA teams. Explain the communication strategies you used, how you aligned on goals, and the impact this collaboration had on the success of a project. Highlight your adaptability to different roles and stakeholders.

Detail the programming languages you excel in, like Java, Kotlin, or Python, and describe specific projects where you applied these skills. Also mention how you stay up-to-date with evolving technology trends through online courses, coding challenges, or participation in developer communities.

Discuss the observability tools you have worked with, such as Splunk, Grafana, and Dynatrace. Provide examples of how you utilized these tools to monitor application performance, troubleshoot issues, and generate insightful reports, highlighting the benefits these approaches brought to your previous work.

Concisely explain your prioritization methods, whether through Agile methodologies, task management tools, or conducting regular check-ins with your team. Provide an example of how effective prioritization led to meeting project milestones or adapting to sudden changes in scope or urgency.

Discuss any experience you have regarding Web Content Accessibility Guidelines (WCAG) or creating inclusive digital experiences. Share examples of projects where you integrated accessibility features and the importance of ensuring all users can effectively interact with applications.