What you'll do :

• Design new services, tools, and monitoring to be implemented by the entire team.
• Analyze the tradeoffs of the proposed design and make recommendations based on these tradeoffs.
• Mentor new engineers to achieve more than they thought possible. You enjoy making other teams successful and are fulfilled through the success of others.
• Adopting new cloud-native frameworks and services
• Automating cloud provider infrastructure via Terraform, Kubernetes, and Helm
• Developing code for tools and automation to reduce manual tasks and reduce human error
• Establishing and documenting run books and guidelines for using the multi-cloud infrastructure and microservices platform.
• Improve the resiliency of multi-cloud microservices platform
• Networking, routing, and load balancing
• Security vulnerability remediation and patching automation
• Automating deployment of our services in new provider zones/regions
• Designing and productionizing access tiers to provide appropriate permissions across roles

What makes you a great fit :

• 7+ years of solid hands-on cloud infrastructure experience on public cloud platforms specifically AWS or GCP.
• 3+ years of strong hands-on experience deploying, managing, and monitoring large-scale Kubernetes clusters in the public cloud
• Experience with Infrastructure-as-Code using Terraform and/or Helm.
• Experience with infrastructure automation and scripting using Python and/or bash scripting.
• Knowledge of microservices fundamentals including Service Mesh using Istio, service discovery, deployment strategies, monitoring, scheduling, and load balancing
• Excellent problem-solving, triaging, and debugging skills in large-scale distributed systems
• AWS Solutions Architect certification preferred.
• CKA and HashiCorp-certified Terraform Associate certifications preferred
• Experience with Infrastructure-as-Code using Terraform, CloudFormation, Google Deployment Manager, Packer, Pulumi, ARM, etc.
• Experience with developing infrastructure or platform services using GoLang or Python.
• Experience with CI/CD frameworks and Pipeline-as-Code such as Jenkins, Spinnaker, Gitlab, Argo, Artifactory, etc.
• Exposure to monitoring tools such as Splunk, Prometheus, Grafana, ELK stack, etc. in order to build observability for large-scale microservice deployments.
• Proven skills to effectively work across teams and functions to influence the design, operations, and deployment of highly available software.