Descrição
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 You’ll 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
- 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.
- Technical skills
- 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.
- 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.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Esta função é classificada como híbrida. Isso significa que o candidato selecionado deverá trabalhar no escritório/fábrica da GM pelo menos 3 vezes por semana {ou outra frequência ditada por seu gerente}.
Esta posição pode ser elegível para benefícios de relocação.
Informações sobre diversidade
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Declaração de Igualdade de Oportunidades de Emprego (EUA)
A General Motors tem orgulho de ser um empregador que oferece oportunidades iguais. Todos os candidatos qualificados serão considerados para o emprego, independentemente de raça, cor, religião, sexo, orientação sexual, identidade de gênero, origem nacional, deficiência ou status como veterano protegido.
Adaptações (EUA e Canadá)
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