Lead Software Engineer - Technology Architecture

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. We’re hiring a Lead Software Engineer for our Technology Architecture team to help accelerate AI adoption across the software development lifecycle and deliver modern platform capabilities that improve how engineering teams build, test, secure, and ship software. In this role, you’ll help design and deliver enterprise technology solutions that enable scalable developer experience, including internal developer platform capabilities through Backstage and other architecture-led initiatives. You’ll partner closely with architecture, engineering, product, and platform teams to translate strategic priorities into secure, scalable, and practical solutions that improve delivery speed, quality, and consistency across teams.

Requirements

Bachelor’s degree in computer science, or an analytical discipline, or equivalent experience
7+ years of software engineering and technology related experience
5+ years of experience leading large projects and/or managing teams
Strong hands-on experience with modern software engineering using technologies such as C#, .NET, Python, Azure, and Kubernetes.
Experience designing secure, scalable, high-availability solutions with attention to performance, compliance, and operational support.
Ability to translate business needs into technical designs, implementation plans, and backlog-ready engineering work.
Experience guiding technical direction, reviewing design and code quality, and mentoring engineers across delivery efforts.
Experience with modern software delivery practices including CI/CD, automated testing, source control, code review, and release management.
Ability to analyze complex technical problems, identify root causes, and implement practical, sustainable solutions.

Nice To Haves

Experience with master data management.
Experience enabling developer productivity through internal developer platforms, platform engineering, or self-service engineering capabilities.
Experience evaluating or implementing AI-assisted development capabilities, developer tooling, or automation across the SDLC.
Familiarity with cloud-native architecture patterns, container platforms, and platform automation in Azure-based environments.
Experience working in architecture, platform engineering, or enterprise engineering enablement teams.
Experience influencing engineering standards, reusable patterns, and adoption strategies across multiple teams.
Continued technical learning, certifications, or demonstrated growth in cloud, platform engineering, AI, or software architecture disciplines.
Open-source software platforms and languages (e.g. Java, Scala, Apache, Perl/Python/PHP, etc.).

Responsibilities

Lead the technical design and delivery of enterprise solutions that accelerate AI adoption across the software development lifecycle.
Help shape and evolve internal developer platform capabilities through Backstage and related architecture enablement efforts.
Partners with architects, engineers, product owners, and business stakeholders to translate business needs into secure, scalable, and supportable technical solutions.
Provide technical leadership across complex cross-team initiatives spanning software engineering, platform engineering, automation, and AI-enabled development workflows.
Establish and promote engineering patterns, standards, and guardrails that improve developer productivity, solution quality, and platform consistency.
Guide proof-of-concepts, pilots, and production implementations for AI-assisted engineering capabilities and modern platform tooling.
Coach and mentor software engineers through solution design, code quality, technical decision-making, and engineering best practices.
Contribute to technical planning, estimation, documentation, and release readiness for high-impact initiatives.
Support continuous improvement of engineering workflows, platform adoption, and enterprise reuse through thoughtful architecture and practical implementation.