Associate Software Engineer

About Us:

CDK Global is a leading provider of cloud-based software to dealerships and Original Equipment Manufacturers (“OEMs”) across automotive and related industries. The Company’s cloud-based, software as a service (“SaaS”) platform enables dealerships to manage their end-to-end business operations including the acquisition, sale, financing, insuring, repair, and maintenance of vehicles. By automating and streamlining critical workflows, the integrated platform of modern solutions enables dealers to sell and service more vehicles by creating simple and convenient experiences for customers and improves their financial and operational performance.

We're hiring a early-career engineers to help build the next generation of automotive retail software — the platforms dealerships use to sell, finance, and service vehicles, and consumers use to shop for and buy their cars. You'll develop software the way the industry is heading: partnering with advanced AI systems to design, build, test, and ship production code, with you as the engineer of record.

You'll start with AI-accelerated coding and progress toward delegating substantial development tasks to AI under your direction — specifying problems precisely, decomposing work, and rigorously verifying the output. We believe engineers who learn this way from day one will become the strongest AI-era engineers in the industry, and we're investing accordingly: structured mentorship, a defined progression path, and real production ownership early.

Because our software runs dealership businesses and consumer purchases, the bar is high: velocity and quality, security designed in, lean code rather than AI-generated bloat, and disciplined AI cost management. This role is for someone with strong fundamentals, high curiosity, and the discipline to verify everything.

• Build and ship production software using modern AI-based development workflows, progressing from AI-accelerated coding to delegating well-scoped tasks to advanced AI systems
• Write precise specifications, technical plans, and acceptance criteria that humans and AI systems can execute against
• Own the correctness, security, and maintainability of everything you ship — rigorously review, test, and validate all AI-generated code, and never expose credentials, customer data, or proprietary code to unapproved tools
• Keep codebases lean: resist AI-generated bloat, unnecessary dependencies, and over-engineering so today's velocity doesn't become tomorrow's technical debt
• Use AI development resources cost-effectively, treating compute and tooling spend as an engineering constraint to optimize
• Develop deep expertise in automotive retail — how dealerships operate and how consumers buy — the domain context that makes your direction of AI systems effective
• Solve problems of moderate scope with increasing independence and sound technical judgment
• Experiment with and share new AI development techniques and workflow improvements with your team
• Plan and prioritize your own work with decreasing need for day-to-day direction; build strong relationships across engineering, product, and design
• Participate in on-call rotations and emergency response to maintain platform reliability
• Follow all CDK Global policies and procedures, including responsible AI usage guidelines; complete all mandatory compliance tasks
• Meet or exceed all performance expectations

• Bachelor's degree in Computer Science, Engineering, or a related field, with 0–2 years of professional experience
• Strong command of at least one programming language and core CS fundamentals — the foundation for evaluating and improving AI-generated code
• Ability to read and reason about code you didn't write: spotting bugs, edge cases, security issues, and design problems
• Learn and understand systems architecture and designs
• Excellent written communication — describing problems and designs precisely is a core skill in this role
• Genuine curiosity about AI-based development, shown through coursework, projects, hackathons, or independent experimentation
• A verification mindset: skepticism of unvalidated…