Jobs at CarMax

The Principal Software Engineer will design and develop backend APIs, lead technical initiatives, mentor engineers, and implement cloud solutions while driving technical excellence and collaboration across teams.

Lead the development of pricing algorithms for vehicle valuation at CarMax, managing a team of data scientists to implement strategies and maintain optimal pricing models.

The Cybersecurity Engineer will manage Identity Management solutions, ensure security compliance, and improve security processes in line with organizational policies.

The Senior Engineer will develop scalable machine learning models, partner with data scientists, and improve business performance through AI technologies.

The Technology Manager leads teams of software engineers to deliver inventory services, manages projects, stakeholders, and aligns technological solutions with business goals.

The Senior Cloud Network Engineer designs and supports enterprise networks, enhancing automation, monitoring, and security for CarMax's infrastructure.

As a Data Science Manager, you'll drive personalization initiatives through data science, manage experimentation, and lead technical innovation in ML algorithms at CarMax.

The Senior Engineer in AI & ML will design and productionalize machine learning models, collaborating with Data Scientists to implement scalable solutions and enhance customer experiences at CarMax.

The Senior Technology Compliance Analyst will enhance the Compliance Program, evaluate IT controls, conduct assessments, and lead remediation efforts.

Lead and execute information risk management activities: design and run cybersecurity risk assessments, administer GRC systems, develop mitigation recommendations, support compliance (SOX, GLBA, HIPAA, CFPB, PCI), deliver security awareness training, analyze vulnerabilities, and produce risk reporting while collaborating with technology and compliance teams.

The Business Analyst Internship offers college students practical experience in analytics, collaboration, and professional growth through projects and mentorship.

As a Product Manager at CarMax, you will lead a team to develop innovative products that enhance customer experiences in buying and selling vehicles, focusing on customer needs and leveraging technology.

Develop ETL processes, integrate data sources, analyze data issues, and ensure adherence to best practices in data management. Collaborate with teams on functional requirements and data modeling.

The Senior Principal Engineer in Cloud will develop solutions, improve operations, and ensure the reliability of cloud applications while mentoring other engineers.

Collaborate with teams to develop ETL and data integration processes, troubleshoot data issues, and ensure best practices in data management and modeling.

Lead and grow an AI/ML team, define strategic roadmap, prioritize and deliver scalable ML solutions on Azure, manage budgets and people, ensure best practices, and collaborate cross-functionally while supporting production and on-call incident response.

Lead implementation and configuration of Oracle Cloud Financials, gather and translate business requirements into technical user stories, drive data conversion/mapping, collaborate with SI and cross-functional teams, build/test/train/support solutions, and produce functional specs and SOPs to simplify finance processes.

Lead design and delivery of large data products and pipelines, mentor senior engineers, set standards and best practices, promote data/analytics across business units, collaborate on governance and curated data catalog, and present technical work externally.

Design, develop, validate, and improve predictive pricing models for vehicle valuation. Perform feature engineering, incorporate new data sources, run experiments, support model deployment, and communicate findings to stakeholders to drive pricing decisions.

Lead development and improvement of vehicle pricing models by applying machine learning and statistical techniques, feature engineering, and controlled experiments; present insights to senior leaders; research modeling innovations and influence the team's modeling roadmap; communicate model behavior to stakeholders.