Senior Integration Lead - GM Motorsports

• Own the operational health of key motorsports applications (data pipelines, analytics tools, web services, dashboards, race-weekend tools)
• Monitor application availability, performance, and error rates
• respond quickly to incidents and degradations
• Implement and maintain alerting, logging, and observability to detect and diagnose issues early
• Serve as a primary responder for production issues, including off-hours support during critical events (e.g., race weekends, major tests)
• Troubleshoot and resolve application, configuration, and data issues across the stack in coordination with development teams and infrastructure/IT
• Perform root cause analysis, document findings, and drive follow-up actions to prevent recurrence
• Coordinate and execute routine maintenance, upgrades, and patches for applications and supporting components
• Partner with software engineering and data science teams to plan and validate releases, including smoke tests, rollback plans, and change management
• Maintain and improve runbooks, deployment guides, and operational documentation
• Provide tier-2/3 support for motorsports users, including data scientists, engineers, and program staff
• Triage and resolve user-reported issues, escalating to development or infrastructure teams when needed
• Capture and relay user feedback and recurrent pain points into backlog items and improvement plans
• Identify and implement automation to reduce manual operations (scripts, tooling, self-service workflows)
• Contribute to SLA/SLO definitions and help track adherence for critical motorsports applications
• Partner with teams to design systems for reliability, scalability, and supportability from the outset
• Work closely with data science, software engineering, DevOps, and motorsports IT to ensure alignment on environments, dependencies, and support boundaries
• Communicate clearly and effectively with technical and non-technical stakeholders, especially during incidents and race events

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
• or equivalent practical experience
• Typically 3–5+ years in an application support, SRE, DevOps, or related operations role supporting production systems
• Strong experience supporting applications built with Python and/or .NET/Java, web services, and APIs
• Proficiency with Linux-based environments, shell scripting, and basic networking concepts
• Hands-on experience with monitoring and logging tools (e.g., Grafana, Prometheus, ELK/EFK, App Insights, Datadog or similar)
• Familiarity with SQL and working with relational databases
• ability to diagnose basic data and query issues
• Experience with cloud platforms (Azure preferred) and containerized deployments (Docker, Kubernetes or similar)
• Understanding of CI/CD pipelines and release processes
• Strong problem-solving and debugging skills under time pressure
• Clear, structured communication, especially in incident scenarios and with non-technical stakeholders
• Demonstrated ability to own problems end-to-end and follow through on operational improvements

• Experience supporting data-intensive or analytics applications (dashboards, ML services, ETL/ELT pipelines)
• Exposure to motorsports, automotive, or real-time operational environments where uptime is critical
• Experience with ITIL or similar service-management practices (incident, problem, and change management)
• Familiarity with infrastructure-as-code (e.g., Terraform, ARM/Bicep) and configuration management tools

This job may be eligible for relocation benefits