Software Engineer, DevOps, Full Stack Developer

Software Engineer

Location: On-site, Columbus, OH metro area
Team: Application Development

$90-125k plus a generous profit sharing bonus

We're hiring a hands-on Software Engineer to build and maintain web applications alongside our development team. The right person combines solid engineering craft with a modern, AI-augmented workflow: someone who ships quality code, picks things up quickly, and keeps getting sharper. Day to day, you'll write integration APIs, build out web apps, strengthen our CI/CD and Dev Ops setup, and help shape how the team folds AI tooling into its everyday coding.

The role is fully on-site and works shoulder to shoulder with engineers across functions.

• Build and maintain APIs that connect systems and move data across the company's data platform
• Evaluate architecture options and make recommendations, owning the research, scoping, and design documentation that goes with them
• Write and improve web applications in Type Script, JavaScript, Python, .NET, and related languages
• Help mature the development lifecycle, including CI/CD pipelines, developer tooling, and Dev Ops workflows
• Put AI development tools to work (copilots, code generation, automated testing, refactoring assistants) to move faster without giving up quality
• Partner with IT teammates and stakeholders to deliver solutions that hold to architectural standards and best practices
• Diagnose application issues, tune performance, and keep applications and dev infrastructure running reliably
• Take part in code reviews and knowledge sharing to lift the team's overall engineering bar

• 3 to 6 years building software professionally
• Strong hands‑on work in Type Script, JavaScript, Python, .NET, or comparable languages
• Practical Azure experience across App Services, Functions, Logic Apps, and Dev Ops pipelines
• Comfortable designing, building, and consuming REST APIs
• Familiar with current web frameworks and front-end practices
• Solid grounding in CI/CD, developer tooling, and modern dev environments
• Able to run with well‑scoped work independently while collaborating well within a team

• Exposure to data lakes or hybrid data architectures
• Familiarity with version control practices, branching strategies, and code-quality tooling
• Real‑world use of AI dev tools for fast prototyping, testing, or refactoring
• A genuine appetite for trying new tools and techniques to build better software