Senior Integration Lead GM Motorsports

Job Description

The Role

The Sr. Integration Lead on the GM Motorsports Data Science team is responsible for the reliability and day-to-day operation of key software applications used across NASCAR IndyCar and other GM racing programs.

This role focuses on maintaining software troubleshooting issues and ensuring application uptime for tools supporting race engineering data science and operations.

You will work closely with data scientists software engineers race engineers and IT to keep critical applications stable performant and usable in time-sensitive motorsports environments.

What Youll Do

• Application operations & uptime
  • 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.
• Incident response & troubleshooting
  • 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.
• Maintenance & release support
  • 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.
• User support & enablement
  • 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.
• Reliability & process improvements
  • 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.
• Collaboration
  • 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.

Your Skills & Abilities (Required Qualifications)

• Education & experience
  • Bachelors degree in Computer Science Information Systems Engineering or related field; or equivalent practical experience.
  • Typically 35 years in an application support SRE DevOps or related operations role supporting production systems.
• Technical skills
  • Strong experience supporting applications built with Python and//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.
• Soft skills
  • 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.

What Will Give You a Competitive Edge (Preferred Qualifications)

• 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.

About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.

Benefits Overview

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

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