Site Reliability Engineer
Sre
Posted on 2/21/2024
INACTIVE
CyberCube

51-200 employees

Cyber insurance risk analytics
Company Overview
CyberCube, a leading cyber risk analytics provider, offers a unique value proposition to the insurance industry by leveraging its cloud-based platform to quantify cyber risk, aiding in insurance placement, underwriting, and risk management. Established within Symantec in 2015, it has a competitive edge due to its access to an unparalleled ecosystem of data partners and insights on millions of companies globally. The company's commitment to the industry is demonstrated by its significant investment in analytics, models, and services tailored specifically for the cyber insurance sector, making it a trusted contributor and leader in its field.
Data & Analytics
Financial Services

Company Stage

Series C

Total Funding

$101.1M

Founded

2015

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

6%

1 year growth

15%

2 year growth

-18%
Locations
Chicago, IL, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Datadog
Kubernetes
Git
AWS
Jenkins
Terraform
Splunk
CategoriesNew
DevOps & Infrastructure
DevOps Engineering
Platform Engineering
IT & Security
Cloud Engineering
Requirements
  • 1-2 years of experience managing AWS infrastructure (EC2, RDS, EKS, API Gateway, lambdas)
  • Experience with working with infra orchestration and configuration management tools such as Cloudformation or terraform
  • Experience with Observability platforms like Datadog, prometheus or splunk
  • Experience with any CI/CD tooling (Jenkins, GitHub Actions or Bamboo)
  • Understanding of Containers and Container Orchestration using Kubernetes.
Responsibilities
  • Development and Deployment of AWS Cloud Services using Infrastructure as a Code tools like Cloudformation and Terraform
  • Develop Automation pipelines by working with Engineering teams using GitHub Actions or Jenkins
  • Deployment and maintaining containers and their orchestration using EKS or Kubernetes
  • Work with Engineering teams in making the application more reliable and participate in resolution of performance issues
  • Participate in the Release Deployment and Automation around it
  • Develop the necessary alerts and notifications for the Observability Platform (Datadog)