Senior Cloud Infrastructure Engineer, Splunk

• You are passionate about automation, infrastructure-as-code, microservices, and getting rid of tedious, manual tasks
• Bachelors/Masters 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
• Excellent problem-solving, triaging, and debugging skills in large-scale distributed systems
• CKA and HashiCorp-certified Terraform Associate certifications preferred

Desirable

• The Splunk Observability Cloud provides full-fidelity monitoring and fixing across infrastructure, applications, and user interfaces, in real-time and at any scale, to help our customers keep their services reliable, innovate faster, and deliver great customer experiences
• Infrastructure Software Engineers at Splunk are cloud-native systems engineers who use infrastructure-as-code, microservices, automation, and efficient design to build, operate, and scale our products
• You will help us run one of the largest and most sophisticated cloud-scale, bigdata, 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
• 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