• Make real improvements to enterprise-grade retail software at scale • Set technical direction — make the architecture calls that shape how systems evolve, and align teams behind them • Work with stakeholders to scope, sharpen, and stress-test customer-facing features • Get in front of customers to learn how they work and where it hurts, then turn that into better products • Partner across the org on unified solutions for problems that span teams • Mentor other engineers — everyone had help to get here, reinforce your own skills by helping others grow theirs • Help the team plan, estimate, and de-risk big work by breaking it down and sequencing it well • Set the bar for engineering judgment, code quality, and craft

• Drive Solutions: Take full responsibility for the lifecycle of your code, from design and development to testing and deployment. • Customer-Centric Building: Partner with product managers and get in front of customers to understand their pain points and turn those insights into delightful product experiences. • Agentic Development: Lean into agentic workflows to amplify your judgment, speed up implementation, and maintain a high quality bar. • Collaborate and Mentor: Work within a high-performing team to tackle shared platform problems while coaching others on how to get the most out of AI tooling. • Continuous Improvement: Constantly seek ways to refine our engineering culture, values, and processes to ensure we never settle for "good enough". • Operational Excellence: Participate in on-call rotations and lead incident responses, using advanced tools for logging, monitoring, and debugging to ensure system reliability.

• Architect systems and write the code that makes them real, bringing EvolutionIQ's AI-native products into CCC's auto casualty business. • Dig into complex, sometimes messy legacy systems; decide what to rebuild, replace, or keep; and drive that work hands-on. • Build backend architectures that hold up in production, moving between fast prototypes and stable, long-lived systems, with AI and agentic tools core to how you work. • Set the engineering standard (best practices, design docs, code reviews, consistency) in close partnership with Product, Data Science, and Data Engineering.

• Build and enhance enterprise SaaS applications across EvolutionIQ and CCC products, spending the majority of your time writing production code. • Modernize existing systems by working through complex legacy platforms while contributing to new product development and scalable backend services. • Leverage AI-assisted and agentic engineering tools to accelerate development, improve engineering productivity, and rapidly prototype new ideas. • Partner closely with Product, Data Science, and Data Engineering to deliver scalable, intuitive applications while contributing to technical design, code reviews, and engineering best practices.