Intermediate Software Engineer - Accounting Automation & AI

Publix Super Markets•Lakeland, FL

1d•Hybrid

About The Position

The Accounting Automation & AI Team is a newly formed team focused on automating complex business processes and applying AI to reduce repetitive tasks which require cognitive reasoning. As an Intermediate Software Engineer, you will design and build reliable and scalable cloud‑native systems and integrate AI capabilities to support these enterprise processes. You will collaborate with engineers, analysts, and cross‑functional partners to implement modern automation solutions, including autonomous and human‑in‑the‑loop systems. The ideal candidate has strong foundational software engineering skills, curiosity about AI, and a passion for simplifying complex workflows through thoughtful automation.

Requirements

Bachelor’s degree in Computer Science or a related analytical field or equivalent experience
3+ years of hands-on experience with software development with one or more development frameworks including .NET, C#, and ASP.NET Core
Experience with database technologies such as Oracle and SQL Server, DevOps, and Visual Studio
Experience deploying and managing applications on cloud platforms such as Microsoft Azure, including App Services, Azure SQL, and Azure Functions
Experience in designing and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools
Capable of writing clean, maintainable, scalable, and well-documented code
Experienced in working within Agile/Scrum teams
Experience building and maintaining Infrastructure as Code (IaC) with Terraform to deliver repeatable, reliable environments
Experience developing cloud infrastructure on Microsoft Azure using Terraform modules and best practices to create scalable, secure foundations
Write clean, maintainable Python to automate workflows and support backend services
Design and deliver RESTful APIs with ASP.NET Core, and document them clearly using Swagger/OpenAPI for smooth consumer integration
Experience using Git confidently to collaborate effectively and ship high-quality changes
Bring curiosity about AI: hands-on familiarity with LLM APIs, prompting, and core AI/ML concepts (at a conceptual level)
Familiarity with retrieval‑augmented generation (RAG) and context‑engineering techniques to improve response quality and relevance
Design data solutions across structured, semi-structured, and unstructured data—covering schema modeling, querying, and performance tuning

Responsibilities

Contribute to the design and develop enterprise-grade technology solutions with a focus on system performance, cross-system interdependence, stability, scalability, and usability.
Work in a cloud-first environment using modern engineering practices, including CI/CD pipelines with Azure DevOps, GitHub Actions, or similar tools to ship quality changes faster and more safely.
Collaborate with product, engineering, and stakeholders in design and development discussions—contributing in both Agile and traditional delivery models.
Produce clear, thorough documentation (technical designs, system specs, and test expectations) so teams stay aligned and implementations go smoothly.
Help keep production systems healthy by participating in an on-call rotation and partnering with the team to troubleshoot, learn, and continuously improve.

Benefits

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.
Cutting-Edge AI Projects: Drive innovation in AI platforms, integrating advanced tools and frameworks to solve complex business challenges.
Empowered Culture: We value autonomy, creativity, and continuous learning—your ideas shape the future of technology in our organization.

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