Sr. Site Reliability Engineer GM Motorsports
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Job Location:
Concord, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Description
The Role
What Youll Do
- Design and implement reliability practices across the motorsports data platform including Service Level Indicators (SLIs) Service Level Objectives (SLOs) and error budgets for streaming and analytics workloads.
- Ensure reliability and performance of high-throughput streaming and batch data pipelines supporting telemetry ingestion analytics processing and simulation workloads using technologies such as Kafka Flink and Databricks.
- Build and maintain comprehensive observability frameworks including metrics logs and tracing across the platform. Develop dashboards alerts and automated responses that detect system degradation before it impacts engineering workflows.
- Drive the automation of platform infrastructure using Infrastructure as Code (IaC) and platform engineering best practices to enable consistent reproducible environments across development testing and production.
- Identify operational friction and eliminate manual processes by implementing self-healing infrastructure automation frameworks and developer self-service capabilities.
- Own the reliability of data ingestion transformation and storage layers ensuring stable and performant integration across distributed data systems.
- Continuously evaluate platform performance and scalability ensuring the data platform can support high-frequency telemetry ingestion real-time analytics and large-scale historical analysis.
- Provide mentorship and peer review to engineers across the platform team promoting strong operational discipline resilient system design and high-quality engineering practices.
Your Skills & Abilities (Required Qualifications)
- Proven experience in Site Reliability Engineering (SRE) DevOps or Platform Engineering supporting large-scale distributed systems.
- Strong experience with Linux systems administration and cloud-native infrastructure.
- Experience operating high-throughput data platforms or streaming systems (Kafka Flink Spark etc.).
- Hands-on experience with Infrastructure as Code tools such as Terraform or similar frameworks.
- Experience implementing observability stacks (Prometheus Grafana OpenTelemetry Datadog etc.).
- Strong debugging and troubleshooting skills across distributed systems.
- Ability to break down complex reliability challenges into clear implementation-ready initiatives.
- A growth mindset and commitment to continuous learning in a fast-paced engineering environment.
What Will Give You a Competitive Edge (Preferred Qualifications)
- Experience supporting data engineering platforms or analytics infrastructure.
- Experience with Kubernetes and container orchestration platforms.
- Familiarity with stream processing frameworks (Apache Flink Spark Streaming etc.).
- Experience with real-time telemetry simulation or high-frequency data environments.
- Experience implementing reliability practices across multi-cloud or hybrid cloud platforms.
About GM
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Required Experience:
Director
Key Skills
About Company
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