Kubernetes Engineer
hace 7 días
Descripción del puesto
Responsibilities:
- 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 of Wayfair as a business.
- Help influence the product roadmaps of GCP (our primary cloud provider) to better suit Wayfair's 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 Wayfair 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.
Requisitos
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).
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