Site Reliability Engineer (GKE + GCP)

Reponsibilities:

• Work on a team of extremely talented platform engineers to help maintain and scale the current and future state services platform.
• Help architect and develop the future state compute platform by leveraging industry best practices as well as embracing new technologies to support the future growth as a business
• Help influence the product roadmaps of GCP (our primary cloud provider) to better suit our future state architecture
• Work collaboratively with business and technical stakeholders to develop and architect enhancements to the compute platform capabilities that enable them to develop and iterate applications to power the business
• Identify opportunities to introduce automation, improvements to avoid repetitive operational tasks (DRY)
• Participate in the on-call rotation to ensure operational excellence and overall platform health

Requirements:

• 5+ years of experience in platform engineering/SRE roles using an object oriented language (Python, Golang, etc)
• Bachelor’s degree in Computer Science, Computer Engineering or equivalent combination of education and experience
• Extensive experience working with Kubernetes in a public cloud (GKE, EKS, AKS, etc)
• Experience working with Istio/Service Mesh
• Experience working with IaC (Terraform, Pulumi, etc)
• Experience working within a Public Cloud environment (GCP, AWS, Azure, etc)
• Experience working with CI/CD tools such as Argo, Buildkite, TravisCI, Jenkins, Spinnaker, etc
• Experience working with platform observability tools (Prometheus, Thanos, Grafana, Fluentbit, Cloud Monitoring, Google Cloud Logging, Datadog, Pagerduty, Cloudwatch, Kibana, Elastic Search, Splunk, VictorOps, etc)
• Experience with Networking
• Experience and desire to work in an agile environment
• Analytical mindset and passion for solving business problems with technology

Nice To Haves:

• Experience working with Dev Testing tools and patterns such as Garden, Flagger, Canary Deployments, Blue/Green Testing, A/B Testing
• Experience setting up and working with Kubernetes Admission Control (Kyverno, OPA, etc)
• Experience working with workload scaling (HPA, VPA, Capacity Planning/Reservations, etc)