Senior, Software Engineer

Position Summary...

What you'll do...

Must have experience with: Designing and developing solutions for data processing using PySpark; Designing and implementing solutions using OOPS programming languages like Python, Scala or Java; SQL, PL/SQL, RDMS Concepts, database programming, creation of stored procs, and functions; Architecture, designs and solutioning of products and platforms; Data warehouse and data mart designs, solutions and implementation on RDMS and analytical databases; Data lake architecture designs and implementation on Hadoop or equivalent on cloud; Shell Scripting for running cron jobs on Linux Servers and designing data catalog solutions; Designing and implementing Rest API Web Services using Object Oriented Programming Languages; Migration of legacy application to Azure Cloud Services using latest tech stacks like JavaScript, Scala, Akka, Apache Spark, JSON, Mongo DB; Implementing DevOps/CICD model for Backend Technology using tools like Looper and Concord for automated build and deployment; and Project Management: Set up a support framework to establish support channels and different levels of escalation with On-Call set up of resources for Production Support activities. Employer will accept any amount of experience with the required skills.
About Team:

What you'll do: Application & Feature Delivery:

• Owns scoped feature or model delivery through collaborative engineering teams.
• Manages implementation, iteration, testing, and ongoing support for assigned services, APIs, user interfaces, or ML model components.
• Operates with a product-driven mindset and aligns outcomes with broader platform, system, and domain objectives.

Software Development & Lifecycle Execution:

• Writes clean, efficient, and reliable code using languages such as JavaScript, TypeScript, Python, Java, Rust, Dart, and C++. Drives full software development lifecycle, including CI/CD deployments, automated testing, observability, monitoring, and maintenance. Builds scripts for the automation of repetitive tasks and implements telemetry features independently.
• Conducts code structure reviews and supports ongoing defect management and debugging processes.

AI/ML Integration & GenAI Enablement:

• Integrates AI agents and ML components using internal and external APIs to enhance software intelligence.
• Leverages GenAI tools such as GitHub Copilot to improve development velocity and innovation.
• Applies object-oriented programming principles and documentation-based coding practices to ensure modularity, maintainability, and consistency.

Solution Design & Technical Leadership:

• Assists in converting high-level designs into detailed designs using mock screens, pseudo code, and functional logic.
• Evaluates trade-offs and designs scalable, secure, and maintainable software systems aligned with Walmart’s standards.
• Participates in design reviews and ensures the implementation of appropriate design patterns and principles.
• Demonstrates continuous learning and supports peer growth through mentorship and knowledge sharing.

Customer/Associate Problem Definition & Metrics:

• Engages stakeholders to identify and refine complex business or user problems.
• Translates pain points into actionable technical requirements and defines clear metrics to measure solution success and impact.
• Collaborates with cross-functional teams to ensure the delivered solutions meet user needs and technical expectations.

DevOps & Program Monitoring:

• Conducts complex maintenance procedures and monitors application performance using appropriate metrics and tools.
• Ensures adherence to project milestones and timelines through program reporting, CI/CD tools, and program logging systems.
• Supports the delivery of high-quality and reliable software systems through proactive monitoring, testing, and continuous integration practices.

Engineering Excellence:

• Promotes a collaborative engineering mindset focused on continuous improvement and team wellbeing.
• Contributes to innovation strategies, internal knowledge sharing, and platform enhancement through engineering best practices.
• Supports system uptime, performance, and customer experience by owning the quality and performance of delivered features.