CyberArk is the global leader in privileged access security a critical layer of IT security to protect data infrastructure and assets across the enterprise in the cloud and throughout the DevOps pipeline. CyberArk delivers the industrys most complete solution to reduce risk created by privileged credentials and secrets. The company is trusted by the worlds leading organizations including more than 50 percent of the Fortune 100 to protect against external attackers and malicious insiders.
Job Description:
CyberArk is seeking a Staff Site Reliability Engineer looking to bring their knowledge excitement and energy to the team. If you have worked in the cloud solving scale problems bringing visibility into your platform and accomplishing true CI/CD pipelines we want you on the team! Driven and excited to innovate is what we need all while allowing you to grow professionally and creating strong relationships that will last a lifetime.
Responsibilities:
Design Implementation of AWS infrastructure components such as VPCs EC2 EKS S3 tagging schemes CloudFormation etc.
Lead architecture designs and feature analysis of deployment and management automation of cloud-based infrastructure and software
Provide guidance to Site Reliability and DevOps Engineers on managing the reliability and performance of SaaS environments as well as on building automation to prevent problem reoccurrence
Architecting and guiding the team with the use of configuration management tools in both Windows and Linux - CloudFormation Helm Terraform Salt Ansible
Ensuring cloud-based architectures meet availability and recoverability requirements
Architecture and implementation of cloud-based monitoring alerting and reporting Datadog CloudWatch ELK
Support and guidance on tooling that helps to enable teams for greater output and reliability.
Deep understanding of the latest tech solutions trends and ability to dive into the details of the architecture as needed.
Work with the Team Leads within the group to identify areas of improvement prepare architecture road maps and advocate to the Product Management group.
#LI-JH1
Qualifications :
B.S. in Computer Science or equivalent experience
Minimum 4 years of experience managing AWS infrastructure
Minimum of 7 years in a senior architect or a technical lead role of site reliability systems engineering or software development
A deep understanding of Site Reliability infrastructure and Cloud Platform
Expert understanding/experience of containerization services such as Docker/Kubernetes
Expert in observability tooling such as Datadog Grafana Elasticsearch
Solid understanding/experience of web services databases and relating infrastructure/architectures
Solid understanding of backup/restore best practices
Strong level of expertise programming writing configuration management languages
Strong level of expertise programming in Python / Java or equivalent language
Excellent Troubleshooting Skills
Experience supporting an enterprise-level SaaS environment
Security Experience a plus
Experience applying AI/ML-driven approaches to observability anomaly detection capacity planning or reliability improvements is a plus
Additional Information :
CyberArk is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion creed sex sexual orientation gender identity national origin disability or protected Veteran status.
We are unable to sponsor or take over sponsorship of employment Visa at this time.
The salary range for this position is $126000 $185000/year plus commissions or discretionary bonus which will be based on the employees performance. Base pay may also vary considerably depending on job-related knowledge skills and experience. The compensation package includes a wide range of medical dental vision financial and other benefits.
Remote Work :
Yes
Employment Type :
Full-time
CyberArk (NASDAQ: CYBR), is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity human or machine across business applications, distributed workforces, hybrid cloud workloads a ... View more