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Reliability Engineer
2 months ago
We are seeking a highly skilled Site Reliability Engineer to join our team at General Motors. As a Site Reliability Engineer, you will play a critical role in ensuring the stability, scalability, and reliability of our software-defined vehicle solutions.
Key Responsibilities- Lead the Site Reliability engineering effort to improve anomaly detection, platform stability, and resilience using modern best practices.
- Partner with engineering and customer success teams to ensure comprehensive monitoring and incident response and management processes are in place.
- Help create a culture of accountability and ownership of excellent customer experience.
- Implement scalable, reliable, secure SRE and Observability platforms to monitor the health of our production system and provide a holistic view of the environment.
- Deliver tools and software to improve the reliability, scalability, and operability of services.
- Collaborate with engineering teams to analyze and provide inputs in architecture, infrastructure resources, observability to achieve reliability and scalability goals.
- Collaborate with engineering teams to conduct production readiness reviews, deployment, operation, and refinement.
- Partner with stakeholders to ensure data and observability tools are effectively integrated with other systems and processes.
- Partner with stakeholders to identify, measure, and monitor availability, latency, and overall service health.
- Participate in on-call engineering duty to support production.
- Instill Site Reliability best practices through automation, data insights, and observability.
- Perform initial incident root cause analysis with engineers, carry out incident postmortem.
- Build run books and tooling to carry out production support activities.
- Actively participate in technical discussions and deep dives with Architectural groups.
- 7+ years of hands-on SRE experience (software development, systems monitoring) with at least one of the public cloud providers – Azure (strongly preferred), AWS, GCP.
- Experience operating high-availability, fault-tolerant, scalable, distributed software in production: Building monitoring, defining alerts, writing run books, establishing dashboards, etc.
- Experience with monitoring and log aggregation frameworks, such as Azure Monitor/Sentinel, Data Dog (preferred), Dynatrace, Elasticsearch, Kibana, Logstash.
- Strong working knowledge of Docker, Kubernetes, Terraform, Chef or Ansible.
- Experience troubleshooting JVM-based applications.
- Chaos engineering implementation and experience a big plus.
- Strong experience in scripting/programming – Python, Java, PowerShell, Bash.
- Experience with configuration and management of SSO, Big Data/No-SQL in cloud infrastructure.
- CI/CD automation frameworks knowledge - Jenkins/Azure DevOps.
- Strong understanding of public cloud networking components.
- You have a story to tell how you lead and influence cross-organization effort to improve uptime to at least 99.99%.
- Working experience with source control management tools, such as Bitbucket, GitHub, Azure DevOps (Preferred).
- Experience with IoT stack is a big plus.
- BS/MS in Computer Science/Engineering preferred.