About The Position

The Warehousing Modernization team is currently seeking a Software Engineer for modernizing Publix legacy warehousing systems. This key role involves participating in initiatives to modernize warehousing processes like receiving, integrating with other Warehousing Systems, and Reporting that currently supports our expanding distribution network, encompassing 9 Distribution Centers and 33 warehouses dedicated to servicing over 1200 retail stores. Publix Super Markets, Inc., the largest employee-owned company in the U.S., is driven by a dynamic technology team of 2,300+ professionals delivering innovative solutions to 1,400+ stores and 260,000+ associates across 8 states. From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level - internships through technical leadership. Join a company consistently ranked among Fortune’s “100 Best.

Requirements

  • Bachelor’s degree in computer science or a related analytical field or equivalent experience.
  • 3+ years of hands-on experience developing applications using .NET technologies (C#, .Restful APIs, .Net Services), Python, including background service patterns and building responsive web applications with Angular, React or Blazor.
  • 3+ years’ experience designing and implementing solutions using ASP.NET Core, including proficiency with API documentation tools such as Swagger/Open API.
  • 2+ years’ experience with Microsoft SQL Server and Entity Framework Core, including designing normalized schemas, writing complex queries, and optimizing database performance.
  • Demonstrate ability to write clean, maintainable, and well-documented code, with strong problem-solving and debugging skills.
  • Experience with cloud platforms, Microsoft Azure or similar (App Services, Azure SQL, Azure Functions), including deployment, management, and monitoring of applications.
  • Experience working in Agile/Scrum environments with excellent communication skills and the ability to collaborate effectively with cross-functional teams.
  • Experience working with AI tools and methodologies such as GitHub Copilot, Claude code, and M365 Copilot.
  • Proficiency in source control and DevOps practices, including Git (branching, merging, pull requests) and designing and maintaining CI/CD pipelines using Azure DevOps.

Nice To Haves

  • Experience with Spark declarative pipelines (Databricks declarative pipeline patterns; formerly DLT/Delta Live Tables) including expectations-style rules and incremental processing.
  • Experience in designing, provisioning, and managing cloud infrastructure, preferably on Microsoft Azure, Kubernetes, utilizing Terraform modules and best practices.
  • Knowledgeable in automated testing, build, and deployment strategies for .NET and containerized applications.
  • Knowledgeable with cloud platforms such as Azure and GCP, and Kubernetes.

Responsibilities

  • Design and develop enterprise-grade technology solutions using modern methodologies (Agile and traditional) ensuring performance, scalability, stability, usability, and cross-system integration while leveraging CI/CD pipelines (e.g., Azure DevOps, GitHub, etc.).
  • Analyze business and system requirements, user stories, and technical design artifacts to develop internal designs, program specifications, and product backlog items under guidance.
  • Collaborate with Architecture and Technical Leads to ensure alignment with enterprise standards, best practices, and solution designs.
  • Partner with Business Systems Analysts and Product Owners to validate business requirements and support solution delivery.
  • Develop, maintain, and automate unit test plans, test scripts, and test cases to ensure application quality and reliability.
  • Utilize development tools, including AI, and environments to efficiently code, unit test, debug, and manage application components throughout the development lifecycle.
  • Create and maintain comprehensive technical documentation, including solution designs, program specifications, and testing results.
  • Plan, coordinate, and support the deployment of technical solutions from testing environments to production under established guidance.
  • Troubleshoot, analyze, and resolve moderately complex application and production issues, escalating when appropriate.
  • Participate in on-call rotation to support production systems and ensure operational continuity.

Benefits

  • Hybrid Flexibility
  • Operational Efficiency
  • Cutting-Edge AI Projects
  • Empowered Culture
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