Senior Platform Engineer

Cox Automotive is a leading technology company specializing in providing innovative automotive solutions that empower vehicles and drivers around the globe. The company leverages cutting-edge technology to build products and services that optimize the automotive ecosystem, including vehicle retail, information services, and wholesale solutions. As part of a forward-thinking organization, Cox Automotive is committed to creating technology that drives transformation in the automotive industry, supporting customers and partners with intelligent and data-driven solutions across diverse platforms.

Within Cox Automotive’s Engineering & Technology division, the Enterprise AI Integration Platform team is pioneering the development of a centralized infrastructure that allows AI agents—such as Claude, Copilot Studio, and Claude Code—to securely and efficiently connect to enterprise data sources. This platform is designed to be governed, observable, and self-service, enabling every team in the organization to leverage AI tools within a secure and compliant environment. The Senior Platform Engineer role is crucial to this vision, with responsibilities spanning the technical implementation and management of the platform’s core components, including the AI Gateway server, connector provisioning engine, identity-driven session management, and observability framework.

This position plays a vital role at the intersection of enterprise infrastructure and the innovative Model Context Protocol (MCP), an emerging standard for interfacing AI agents with enterprise systems. The Senior Platform Engineer will take ownership of designing, building, and optimizing the AI Gateway MCP server, utilizing FastAPI and uvicorn to handle high concurrency and enterprise-grade workloads. The role includes constructing scalable Redis ElastiCache session layers integrated with Microsoft Entra identity for robust authentication, role-based access, and session controls.

Additionally, this role demands expertise in automating container provisioning engines that establish secure network paths and credential management through AWS Secrets Manager, facilitating seamless AI agent access to data sources. The engineer will develop MCP tool sets to connect core enterprise systems such as Oracle DB, SharePoint, Rally, and ServiceNow, enforcing approvals through secure ECR image scanning and maintaining an Aurora-backed connector registry.

Testing is another fundamental aspect—comprehensive automated unit, integration, load, and chaos testing ensures reliability and fault tolerance under heavy user concurrency. The observability stack comprises structured logging, Prometheus metrics, OpenSearch indexing via Kinesis Firehose, and Grafana dashboards, providing full transparency and auditability into platform usage.

The role requires security stewardship, with management of OIDC token validation, PII masking, WAF rules, and secure API design aligned with OWASP standards. Continuous integration and deployment pipelines built with GitHub Actions support automated builds, ECS task updates, and blue/green deployments for zero-downtime releases. Ownership extends to maintaining and enhancing the Snowflake MCP codebase fundamental to the platform’s session, role-based access, configuration, and secrets modules.

Senior Platform Engineers contribute critical diagnostic tools, documentation, runbooks, and operational playbooks that support 24/7 platform uptime and seamless production support. This role offers a remarkable opportunity to work on pioneering AI infrastructure at scale within one of the most innovative companies in the automotive technology sector. The compensation range for this position is $101,500.00 to $169,100.00 annually, with additional incentive opportunities. The position also includes eligibility for extensive paid time off, holidays, and wellness benefits, making it a highly attractive and rewarding career opportunity.