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Cox Automotive

End-to-end automotive digital marketing and services

Lead Software Engineer

Software EngineeringConfirmed live in the last 24 hours
Full-timeAtlanta, GA, USA

About the Job

Requirements

  • A bachelor's degree and six years of experience in a related field, or an alternative combination: a master's degree and four years of experience, a Ph.D. and one year of experience, or 18 years of experience in a related field.
  • Strong experience designing and building web-based or distributed systems.
  • Proficiency in one or more modern programming languages such as Python, Java, or JavaScript/TypeScript.
  • Experience building and deploying applications in cloud environments such as AWS, Azure, or GCP.
  • Experience with Git-based version control and CI/CD pipelines.
  • Demonstrated experience leading technical initiatives and mentoring engineers.
  • Experience using AI-assisted development tools for coding, testing, and documentation.
  • Ability to evaluate AI-generated outputs for correctness, security, and maintainability.
  • Understanding of prompt design, context management, and the limitations of AI tools.
  • Experience integrating AI services or APIs into software systems.
  • Knowledge of data privacy, security, and ethical considerations related to AI usage.
  • Ability to guide teams in effective and responsible AI adoption.

Responsibilities

  • Lead technical design and architectural decisions for features, services, or platforms.
  • Ensure adherence to engineering standards, design patterns, security practices, and performance requirements.
  • Review and approve technical designs and code changes.
  • Decompose epics and features into technical tasks and implementation plans.
  • Identify technical risks, dependencies, and trade-offs and propose mitigation strategies.
  • Lead root-cause analysis and resolution of complex production issues.
  • Design, develop, test, and deploy software solutions across the technology stack.
  • Write and maintain unit, integration, and automated tests.
  • Ensure production readiness, reliability, and observability of systems.
  • Maintain ownership of supported applications and services.
  • Apply AI-assisted development tools to improve code quality, testing, and documentation.
  • Use AI to support code reviews, refactoring, test generation, and defect analysis.
  • Evaluate AI capabilities for improving CI/CD pipelines, monitoring, and operational efficiency.
  • Ensure responsible and secure use of AI tools in accordance with organizational policies.
  • Contribute to defining standards and best practices for AI adoption within engineering teams.
  • Mentor senior, mid-level, and junior engineers on design, coding practices, and problem solving.
  • Provide technical guidance through code reviews, design sessions, and peer programming.
  • Support skill development in cloud, DevOps, and AI-related engineering practices.
  • Promote a culture of accountability, quality, and continuous improvement.
  • Lead the use of cloud-native and serverless architectures.
  • Oversee infrastructure health, cost optimization, security posture, and performance.
  • Improve CI/CD pipelines and DevOps practices.
  • Ensure operational excellence and production support readiness.
  • Own end-to-end technical delivery of assigned systems or domains.
  • Contribute to system- and platform-level technical direction.
  • Make informed technical decisions balancing quality, speed, cost, and risk.
  • Adjust technical approaches in response to changing requirements or priorities.
  • Maintain current knowledge of software engineering, cloud, DevOps, and AI technologies.
  • Lead technical direction rather than execute assigned designs.
  • Mentor and enable multiple engineers rather than primarily contribute as an individual contributor.
  • Own system-level outcomes rather than feature-level tasks.
  • Influence engineering standards, tooling, and practices across teams.
  • Drive architectural strategy and technical excellence across broader organizational initiatives.

About the Company

Cox Automotive

End-to-end automotive digital marketing and services

Cox Automotive provides a full range of digital marketing, retail, financial, and wholesale solutions for the automotive industry. Its offerings span the vehicle lifecycle, from shopping and purchasing to maintenance and resale, delivered through a family of brands that offer tools to build inventories, capture and nurture leads, speed up transactions, and manage financing and wholesale distribution. The company’s platforms work by delivering integrated, end-to-end digital tools that dealerships and other automotive stakeholders can use to attract buyers, close deals, and optimize ROI. Unlike many competitors that focus on a single segment, Cox Automotive combines marketing, retail, financing, and wholesale services under one umbrella, enabling a cohesive ecosystem. The goal is to help clients improve efficiency and profitable growth while transforming how people buy, sell, own, and use cars.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Atlanta, GA
Founded
1898

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