Software Engineer II
Cox AutomotiveResponsibilities
- Build and maintain enterprise connectors for AWS Quick, including API integrations, authentication, error handling, and data access for AI agents.
- Develop and maintain Python APIs, data pipelines, agent skills, platform tooling, and AI Artifact Hub features.
- Implement software features end to end, including design, coding, testing, deployment, and production monitoring.
- Help enforce integration standards and support teams publishing MCP servers to the enterprise connector catalog.
- Contribute to AI platform capabilities including RAG, knowledge ingestion, embeddings, agent orchestration, evaluation frameworks, and access control.
- Build metrics, logging, alerting, dashboards, automated evaluation suites, and human-in-the-loop feedback systems.
- Maintain GitHub Actions pipelines and Terraform infrastructure as code with guidance from senior engineers.
- Participate in design discussions, documentation, code reviews, and an on-call rotation.
Requirements
- Bachelor’s degree in Computer Science and two years of related experience, or an alternative combination such as a master’s degree with up to two years of experience or 14 years of related experience.
- At least two years of professional software development experience building production applications or services.
- Proficiency in Python for APIs, scripts, or data processing logic.
- Familiarity with AWS cloud services or another major cloud provider.
- Experience with Git, pull requests, code reviews, APIs, REST, authentication patterns, and third-party service integrations.
- Preferred qualifications include exposure to AI/ML tools, AI APIs, prompt engineering, AI-enabled features, Terraform, GitHub Actions, MCP, Snowflake, Databricks, data platforms, authorization models, FinOps, knowledge graphs, embeddings, vector databases, search systems, event-driven architectures, serverless computing, internal tools, developer platforms, or enterprise environments.
- Applicants must be authorized to work in the United States for any employer without current or future sponsorship.
- Willingness to work in the office three days per week and participate in an on-call rotation.
Benefits
- Hybrid work arrangement requiring three days per week in the office.
- Mentorship from senior engineers and opportunities to grow cloud and AI platform engineering skills.
- Executive-sponsored early-stage AI transformation work with direct access to AWS technical teams.
About Cox Automotive
Cox Automotive is the world’s largest automotive services and technology provider. Fueled by the largest breadth of first- and third-party data fed by 2.3 billion online interactions a year, Cox Automotive tailors leading solutions for car shoppers, auto manufacturers, dealers, lenders and fleets. The company has 29,000+ employees on four continents and a portfolio of industry-leading brands that include Autotrader®, Kelley Blue Book®, Manheim®, vAuto®, Dealertrack®, NextGear Capital™, CentralDispatch® and Cox Fleet®. Cox Automotive is a subsidiary of Cox Enterprises Inc., a privately owned, Atlanta-based company with $23 billion in annual revenue. Cox Automotive has been included on Glassdoor’s Best Companies in Tech & AI 2026 and Best Place to Work in 2026 lists.