Senior Software Engineer - Shelf Tags

Publix Super Markets•Lakeland, FL

3d•Hybrid

About The Position

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 200,000+ 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 Companies to Work For” and help us build more than great subs—build the future of technology at Publix. Join the Publix Shelf Tag team as a Senior Software Engineer. This team is responsible for developing and supporting Publix’s Item Management System applications. As part of this team, you will participate in all phases of development lifecycle and contribute to delivering high quality applications for our business areas. Location: Flexible Hybrid (8 days per month in Lakeland, FL) Work Model: Enjoy the best of both worlds—collaborate in person and innovate remotely. Why Join Us? Hybrid Flexibility: Work remotely when you need focus time and join us onsite for high-impact collaboration and brainstorming sessions. Operational Efficiency: Ensure technology solutions support efficient workflows and enable automation to improve operational effectiveness. Empowered Culture: We value autonomy, creativity, and continuous learning—your ideas shape the future of technology in our organization. Cutting-Edge AI Projects: Drive innovation in AI platforms, integrating advanced tools and frameworks to solve complex business challenges. Your impact: Lead design and development of data-oriented solutions involving On-Prem and cloud (Microsoft Azure) technologies as a Python/Databricks Engineer on the Publix’s Item Management System team Provide hands-on development for complex Python/Databricks solutions Lead development, deployment, maintenance, and optimization of data pipelines and workflows using Databricks Collaborate closely with data engineers, data scientists, and other stakeholders to understand requirements, design solutions, and implement them using Databricks’ platform Optimize and tune Databricks jobs for performance and scalability Convert requirements to technical design, develop high-quality solutions, and implement while collaborating with other technical and business teams Lead technical team through problem determination and resolution on highly complex problems Work in a cross-functional team environment utilizing an agile approach Maintain strong analytical, planning, problem solving, writing, and presentation skills Facilitate technical knowledge transfers and perform peer code reviews Mentor and guide junior developers, fostering a culture of continuous learning. Lead technical discussions and influence architectural decisions across teams. Communicate effectively with stakeholders to align technical solutions with business goals. #LI-JB1

Requirements

Bachelor’s degree in management information systems, Computer Science, Business, or other analytical disciplines or equivalent experience
5+ years of software engineering experience
3+ years of experience developing large-scale data manipulation processes
3+ year of experience developing in .NET/C# and Angular
3+ years of experience with n-tier applications.
3+ years of experience with SQL Server including database design and advanced queries
2+ years of experience with Azure DevOps for managing project tasks, managing code repositories, and creating YAML pipelines for CI/CD builds and deployments
3+ years of experience translating business needs into scalable, high-quality tech solutions

Nice To Haves

7+ years of software engineering experience
1+ years of experience utilizing Databricks
5+ years of experience implementing large scale enterprise applications
5+ years of experience translating business needs into scalable, high-quality tech solutions
3+ years of experience with EntityFramework, Dapper or other ORM tools
3+ years of experience with UnitTesting and Integration Testing using Xunit for API.
3+ years of experience with UnitTesting and EndToEnd Testing for Angular Apps.
Experience in implementing enterprise applications using platform services like azure App service, Microservices, stream analytics, Redis Cache, OpenAPI etc.
Familiarity with RedHat OpenShift, containerization (Docker) and orchestration tools (Kubernetes) in Azure.
Experience with Design, develop, and maintain scalable data streaming solutions using Apache/Confluent Kafka to enable real-time data processing and integration across distributed systems.
Knowledge of monitoring and observability tools like Azure Monitor, Prometheus, or Grafana.
Experience implementing role-based access control (RBAC) and identity management in Azure.

Responsibilities

Lead design and development of data-oriented solutions involving On-Prem and cloud (Microsoft Azure) technologies as a Python/Databricks Engineer on the Publix’s Item Management System team
Provide hands-on development for complex Python/Databricks solutions
Lead development, deployment, maintenance, and optimization of data pipelines and workflows using Databricks
Collaborate closely with data engineers, data scientists, and other stakeholders to understand requirements, design solutions, and implement them using Databricks’ platform
Optimize and tune Databricks jobs for performance and scalability
Convert requirements to technical design, develop high-quality solutions, and implement while collaborating with other technical and business teams
Lead technical team through problem determination and resolution on highly complex problems
Work in a cross-functional team environment utilizing an agile approach
Maintain strong analytical, planning, problem solving, writing, and presentation skills
Facilitate technical knowledge transfers and perform peer code reviews
Mentor and guide junior developers, fostering a culture of continuous learning.
Lead technical discussions and influence architectural decisions across teams.
Communicate effectively with stakeholders to align technical solutions with business goals.