Reliability Solutions Engineer
hace 2 semanas
SRE Software Engineer is responsible for designing, configuring, monitoring, implementing, and maintaining our observability solutions and troubleshooting Ford Credit IT systems and applications to ensure optimal performance and reliability.
Key Responsibilities- Utilizing Observability and Monitoring tools to detect and resolve issues affecting positive user experience.
- Automating alerting and remediation processes to reduce mean time to resolution (MTTR) and improve system uptime.
- Working with Splunk query language and monitoring database connection health by using Splunk DB connect health dashboards, log parsing, complex Splunk searches, including external table lookups, Splunk data flow, components, features, and product capability.
- Implementing comprehensive monitoring and alerting solutions using GCP monitoring services and external services.
- Gathering and analyzing metrics from operating systems as well as applications to assist in performance tuning and fault finding.
- Building vital and efficient tooling to lower the barrier of entrance for engineering teams to plug in and enjoy the benefits of Reliability focused on Observability.
- 6+ years of SRE observability engineering experience.
- 6+ years of experience in observability best practices working with Dynatrace or similar tools (NewRelic, DataDog, AppDynamics, or other similar APM suites), delivering solutions across all environments, and integrating platforms and applications with monitoring and APM tools.
- Knowledge of CI/CD tools such as Puppet, Jenkins, Terraform, Ansible.
- Minimum 4 to 5 years' working experience in OpenShift and Docker/K8s.
- Proficiency in implementing monitoring and observability solutions using GCP monitoring services such as Cloud Monitoring, Logging, and Tracing.
- Deep understanding of IT infrastructure monitoring and observability best practices.
- Experience with gathering and organizing large amounts of data to use for instrumentation into an Enterprise monitoring solution.
- Experience with recommending baseline monitoring thresholds and performance monitoring KPIs and SLAs.
- At least 4 years of experience in the development of Grafana dashboards, developing metrics/monitoring standardization - metrics, collection, dashboards with Grafana a must.
- 3-5 years of experience with SQL and familiarity with at least one managed Kubernetes platform (EKS, AKS, GKE).
- Strong background in software engineering, with expertise in relevant programming languages (like Python, Java, Go) and cloud platforms (like AWS, GCP, Azure).
- Experience with container orchestration tools like Kubernetes.
- Strong interpersonal and organizational skills.
- Strong verbal and written skills.
- Attention to detail.
- Excellent time management.
- Extraordinary teamwork and collaborative skills.
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