Sr Software Engineer
Cox AutomotiveResponsibilities
- Own the enterprise connector catalog, integration standards, security gates, and onboarding playbooks for MCP servers.
- Build platform integration infrastructure including authentication, connector health monitoring, lifecycle tooling, and business-system connectors.
- Serve as the senior technical contact for domain teams building MCP servers and ensure designs meet production-readiness and security standards.
- Own and improve the AI Artifact Hub and develop knowledge ingestion pipelines, agents, skills, and automation workflows.
- Design fine-grained access controls and DLP enforcement for AI agents accessing enterprise data.
- Build cost controls, circuit breakers, fallback handling, evaluation frameworks, automated ground-truth test suites, feedback-loop APIs, and stack-wide observability.
- Mentor engineers, participate in design and code reviews, collaborate on architecture with the Principal Engineer, and work directly with AWS technical teams.
Requirements
- Bachelor’s degree and 4 years of related experience, or an alternative combination such as a master’s degree with 2 years, a Ph.D. with up to 1 year, or 16 years of related experience.
- At least 5 years of professional software development experience designing, building, and operating production systems.
- Strong Python proficiency for APIs, data pipelines, and integrations.
- Hands-on experience with AWS services including Lambda, S3, IAM, API Gateway, CloudWatch, and Step Functions or similar services.
- Experience integrating third-party APIs and SaaS platforms, including OAuth 2.0 and OIDC authentication flows.
- Experience with infrastructure as code, preferably Terraform, and CI/CD pipelines, preferably GitHub Actions.
- Understanding of distributed systems concepts including fault tolerance, idempotency, eventual consistency, and graceful degradation.
- Experience designing and enforcing authorization policies in multi-tenant or multi-user systems, including row-level security or ABAC.
- Preferred experience includes AI/ML systems, RAG, knowledge retrieval, agent architectures, Amazon Bedrock, MCP, Snowflake, knowledge graphs, embeddings, vector stores, enterprise search, evaluation frameworks, cloud cost optimization, DLP, event-driven architectures, workflow engines, developer platforms, or inherited-codebase modernization.
- Applicants must be authorized to work in the United States for any employer without current or future sponsorship.
Benefits
- Work in the office three days per week.
- Participate in an on-call rotation for production platform systems.
- Early-stage work with executive sponsorship, direct access to AWS technical teams, and autonomy to shape the platform.
Categories
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.