Software Engineer, DevOps, Full Stack Developer

We’re seeking a hands‑on Software Engineer to join our application development team and help build modern, web‑based applications. Our ideal candidate is someone who combines strong software engineering fundamentals with AI‑assisted development practices to work efficiently, continuously learn, and deliver high‑quality solutions.

You’ll focus on building APIs for system integrations, developing web applications, contributing to our Dev Ops and CI/CD ecosystem, and helping evolve an AI‑assisted coding environment. This position is on‑site in Westerville, Ohio and works closely with cross‑functional engineering partners.

• Design, build, and maintain APIs to support system integrations and data flows with enterprise data platforms
• Review and recommend system and solution architecture, including research, scoping, and design documentation
• Contribute to the evolution of the software development lifecycle, including CI/CD pipelines, developer tooling, and Dev Ops workflows
• Apply AI-assisted development tools (e.g., copilots, code generation, automated testing, refactoring tools) to improve productivity and code quality
• Collaborate with IT team members and stakeholders to implement solutions aligned with architectural standards and best practices
• Troubleshoot application issues, optimize performance, and ensure reliability across applications and development infrastructure
• Participate in code reviews and knowledge sharing to support team growth and engineering maturity

• 3–6 years of professional software development experience
• Hands‑on experience with Azure services such as App Services, Functions, Logic Apps, and Azure Dev Ops pipelines
• Experience designing, building, and consuming RESTful APIs
• Familiarity with modern web application frameworks and front‑end development practices
• Solid understanding of CI/CD, developer tooling, and modern development environments
• Ability to work independently while collaborating effectively within a team environment

• Experience working with data lakes or hybrid data platforms
• Knowledge of version control best practices, branching strategies, and code quality tools
• Experience using AI‑assisted development tools for application development, testing, or refactoring
• Curiosity and willingness to explore new tools and improve software development processes