Lead Software Engineer - Accounting Automation & AI

Experience in designing data solutions for structured, semi-structured, and unstructured data, including schema modeling, complex queries, and performance tuning. Experience building responsive web applications using modern web technologies such as TypeScript and JavaScript frameworks (e.g., React, Angular, Blazor).

Required Qualifications

• Bachelor’s degree in computer science or a related analytical field or equivalent experience
• 7+ years of software engineering experience with one or more development frameworks (e.g., .NET, C#, Python, or ASP.NET Core)
• Strong experience in designing, implementing, and consuming RESTful APIs and using API documentation tools
• Strong experience building and supporting workflow automation, backend integrations, and distributed systems
• Strong experience designing, deploying, and managing cloud native applications and architectures
• Experience in designing and maintaining CI/CD pipelines and modern DevOps practices
• Experience building responsive web applications using modern web technologies such as TypeScript and JavaScript frameworks (e.g., React, Angular, Blazor)
• Experience with database technologies such as Oracle and SQL Server and development tools such as Visual Studio
• Strong proficiency in version control workflows and collaborative development practices
• Experience leading technical efforts within Agile/Scrum teams
• Capable of writing and enforcing clean, maintainable, scalable, and well documented code standards
• Strong problem solving and debugging skills, with the ability to resolve complex system issues

Preferred Qualifications

• 9+ years of software engineering experience
• Experience in authoring and maintaining Infrastructure as Code (IaC) using tools like Terraform
• Experience with advanced automated testing, build, and deployment strategies for backend and containerized applications
• Experience designing large-scale distributed systems and integrating across multiple platforms and services
• Experience in designing data solutions for structured, semi-structured, and unstructured data, including schema modeling, complex queries, and performance tuning
• Experience guiding teams in adopting AI enabled capabilities, including LLM integrations, prompt design, or orchestration patterns
• Exposure to retrieval augmented generation (RAG) concepts or context engineering techniques
• Awareness of AI governance considerations, including responsible use patterns, bias awareness, and safe automation practices
• Demonstrated ability to lead multiple initiatives, manage competing priorities, and deliver high-quality results within deadlines
• Skilled in supporting data and process governance of system compliance in accordance with company policies, standards, and SOX requirements

Publix Technology