Cloud Infrastructure Engineer

Job Description

You will help us run one of the largest and most sophisticated cloud-scale, big data, and microservices platforms in the world. You will be responsible to maintain and provision the base infrastructure that runs Splunk Observability Cloud , including cloud compute platforms, managed services, Kubernetes, and required tooling. You will be a key part of the team that strives to offer a fully automated and self-serve, secure, performant, compliant, and cost-efficient Platform-as-a-Service that follows cloud-native best practices and empowers product teams to easily and quickly deploy and operate workloads. You are passionate about automation, infrastructure-as-code, microservices, and getting rid of tedious, manual tasks. You will: 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. You will work on infrastructure projects, including: 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 Qualifications Must-Have: 6+ 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 Preferred: 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.