(USA) Senior, Software Engineer - job 6 of 50

As a Senior Software Engineer on Walmart's Associate Experience Platform team, you will design and develop essential platform features, leveraging modern technologies such as Fast API and event-driven architectures like Kafka. Your role involves collaborating with applied researchers to implement innovative GenAI solutions and upholding high engineering standards. Additionally, you will actively support production operations through on-call rotations, contributing to a robust and efficient system that enhances the experience for millions of Walmart associates.

To qualify for the Senior Software Engineer position at Walmart, candidates should possess a Bachelor's degree in computer science or a related field along with a minimum of three years of relevant experience in software engineering. Alternatively, candidates with five years of industry experience without a degree will also be considered. Proficiency in Python and experience in developing Python-based web services are essential. Familiarity with version control systems and containerized environments will also enhance your candidacy.

A successful Senior Software Engineer at Walmart should be an adept Python programmer who embraces the Pythonic way of thinking, allowing you to write high-performing, production-quality code. Experience with microservices and familiarity with modern web development technologies like JavaScript (React, Node.js) are also advantageous. Additionally, being comfortable with Linux systems and having exposure to GenAI-based applications will make you a strong fit for our team.

Walmart's team culture for a Senior Software Engineer is highly collaborative and inclusive, favoring communication and partnership among team members. You will be part of a dynamic group committed to continual learning and innovation, where everyone is encouraged to share ideas and solutions. The culture emphasizes hands-on collaboration, enabling faster alignment on projects and fostering creativity that drives impactful outcomes in retail technology.

Walmart offers an extensive and competitive benefits package for a Senior Software Engineer, which includes not only competitive pay but also performance-based bonuses. Additional benefits encompass 401(k) matching, stock purchase plans, paid time off, health plans that support medical, vision, and dental coverage, and parental and family care leave. Walmart is also committed to the education and personal development of its associates through programs like Live Better U.

When writing scalable Python code, I prioritize modularity and adhere to best practices such as the DRY principle. I break down functionalities into reusable components, which makes the code easier to maintain and scale. Additionally, I utilize libraries like FastAPI to build services that can handle large loads efficiently, ensuring that my solutions are robust and adaptable.

In my previous roles, I worked extensively with microservices architecture, focusing on designing and deploying independent services that communicate effectively. I’ve used technologies like FastAPI and Docker to create lightweight, easily deployable services, allowing for quick iterations and scaling according to load, which greatly enhances application resilience and performance.

Collaboration with data scientists is incredibly important. I usually start by understanding their objectives and the data they require. Frequent meetings help us align on project goals and ensure we’re utilizing data effectively. I also advocate for open communication through collaborative tools, making it easier to iterate on our approaches while integrating cutting-edge technology in a practical manner.

I ensure code quality by implementing thorough code reviews and encouraging peer feedback. Additionally, I leverage automated testing to verify functionality and ensure there are no regressions. I promote the use of continuous integration pipelines to automate these checks, allowing us to maintain high standards and catch issues early in the development cycle.

I have hands-on experience with event-driven architectures, particularly using Kafka for message brokering. In my projects, I've designed systems that utilize event sources to trigger processing in real-time, allowing for efficient handling of asynchronous tasks. This architecture not only scales well but also enhances user experience by minimizing latency.

Yes, I’ve worked on projects that implemented features leveraging GenAI technologies. My role involved collaborating with applied researchers to integrate advanced algorithms into production environments. I focused on ensuring that the models perform well in real-world applications while maintaining high availability and responsiveness.

When debugging complex software issues, I first replicate the issue in a controlled environment to gather as much information as possible. I utilize logging and monitoring tools to pinpoint the source of the problem. I adopt a systematic approach, either isolating components or simplifying the system to identify and resolve issues efficiently.

I stay current with developments in the tech field by engaging in continuous learning through online courses, attending workshops, and participating in tech meetups and forums. I actively follow influential blogs and subscribe to tech newsletters, ensuring I'm aware of the latest trends and best practices in software development and emerging technologies.

Handling tight deadlines requires effective time management and prioritization. I break down tasks into manageable chunks and set realistic goals to ensure steady progress. To maintain quality, I leverage automated testing and code reviews to catch potential issues early, which empowers me to meet deadlines without compromising the integrity of the code.

Version control is crucial in my development process as it allows for tracking changes, managing code history, and collaborating seamlessly with team members. I use Git extensively to branch out for features, allowing for parallel development without disrupting the main code base. This practice not only enhances collaboration but also simplifies the process of code reviews and merges.