Senior Cloud Infrastructure Architect

7 days ago

Hyderabad, Telangana, India Splunk Inc Full time
About the Role

We are seeking a highly skilled Senior Cloud Infrastructure Engineer to join our team at Splunk Inc. As a key member of our infrastructure team, you will be responsible for designing, building, and maintaining our cloud-scale infrastructure, including cloud compute platforms, managed services, Kubernetes, and required tooling.

Key Responsibilities
  • Design and implement new services, tools, and monitoring to improve the efficiency and scalability of our infrastructure.
  • Analyze tradeoffs and make recommendations based on proposed designs.
  • Mentor junior engineers to achieve more than they thought possible.
  • Work on infrastructure projects, including adopting new cloud-native frameworks and services, automating cloud provider infrastructure, and developing code for tools and automation.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
  • 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.
Preferred Qualifications
  • AWS Solutions Architect certification.
  • CKA and HashiCorp-certified Terraform Associate certifications.
  • 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.

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