DevOps Engineer (GovCloud/FedRAMP)

Varonis

United States

On-site

USD 120,000 - 170,000

Full time

14 days+

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Job summary

Varonis seeks an experienced DevOps Engineer to join our engineering team dedicated to making AI secure for the enterprise. You will design, build, and scale AWS infrastructure, manage ECS scaling, and optimize RDS performance while implementing disaster recovery and IaC in a regulated, high-availability environment.

Responsibilities include CI/CD improvements, incident management, and collaboration with engineering for reliability.

Qualifications

  • 3+ years of experience in DevOps, SRE, or Cloud Engineering roles.
  • Hands-on experience operating production workloads in AWS GovCloud, including supporting a FedRAMP Moderate (or higher) authorization boundary, Terraform-managed infrastructure, evidence collection, and control implementation in a regulated environment.
  • Previous experience in a high-scale, production environment.
  • Strong expertise in AWS services, particularly EC2, ECS, RDS, S3, IAM, and VPC.
  • Knowledge of event-driven architectures using AWS Lambda and SNS/SQS.
  • Hands-on experience managing databases in production environments.
  • Proficiency in Terraform, CloudFormation, or CDK for infrastructure automation.
  • Experience with containerization (Docker, ECS, Kubernetes).
  • Solid understanding of Linux systems, networking, and security best practices.
  • Proficiency in scripting (Python or Bash) for automation.
  • Strong troubleshooting and incident response skills.
  • Experience with monitoring and logging tools like CloudWatch, Prometheus, Grafana, or Datadog.

Responsibilities

  • Design, build, and maintain scalable AWS infrastructure with a focus on high availability and fault tolerance.
  • Design and configure ECS scaling strategies.
  • Optimize, monitor, and automate Amazon RDS (PostgreSQL) performance, backups, and failover strategies.
  • Implement disaster recovery plans, backup solutions, and system restoration procedures.
  • Develop and maintain infrastructure-as-code (IaC) using Terraform or CloudFormation.
  • Create monitoring and alerting systems using CloudWatch, Prometheus, Grafana, or Datadog.
  • Enhance CI/CD pipelines to improve deployment automation and system resilience.
  • Perform incident management, troubleshoot production issues, and conduct post-mortems.
  • Collaborate with engineering teams to ensure best practices in application reliability and performance.
  • Stay up-to-date with AWS services and industry best practices to drive continuous improvement.

Skills

AWS
Terraform
Containerization
Linux & Networking
Python/Bash scripting
Monitoring & Logging
Incident response
Production workloads

Tools

Terraform
CloudFormation
CDK
Docker
ECS
Kubernetes
CloudWatch
Prometheus
Grafana
Datadog

Job description

The Company: Varonis (Nasdaq: VRNS) is a leader in data security, fighting a different battle than conventional cybersecurity companies. Our cloud-native Data Security Platform continuously discovers and classifies critical data, removes exposures, and detects advanced threats with AI-powered automation.

Thousands of organizations worldwide trust Varonis to defend their data wherever it lives - across SaaS, IaaS, and hybrid cloud environments. Customers use Varonis to automate a wide range of security outcomes, including data security posture management (DSPM), data classification, data access governance (DAG), data detection and response (DDR), data loss prevention (DLP), and insider risk management.

The Role: We are seeking a n experienced and driven DevOps Engineer to join our join an engineering team whose mission is to make AI secure for the enterprise. We have a cutting - edge product and the resources to scale aggressively.

The Requirements:

  • 3+ years of experience in DevOps, SRE, or Cloud Engineering roles.
  • Hands-o experience operating production workloads in AWS GovCloud, including supporting a FedRAMP Moderate (or higher) authorization boundary, Terraform-managed infrastructure, evidence collection, and control implementation in a regulated environment.
  • Previous experience in a high-scale, production environment.
  • Strong expertise in AWS services, particularly EC2, ECS, RDS, S3, IAM, and VPC.
  • Knowledge of event-driven architectures using AWS Lambda and SNS/SQS.
  • Hands-on experience managing databases in production environments.
  • Proficiency in Terraform, CloudFormation, or CDK for infrastructure automation.
  • Experience with containerization (Docker, ECS, Kubernetes).
  • Solid understanding of Linux systems, networking, and security best practices.
  • Proficiency in scripting (Python or Bash) for automation.
  • Strong troubleshooting and incident response skills.
  • Experience with monitoring and logging tools like CloudWatch, Prometheus, Grafana, or Datadog.

The Responsibilities:

  • Design, build, and maintain scalable AWS infrastructure with a focus on high availability and fault tolerance.
  • Design and configure ECS scaling strategies.
  • Optimize, monitor, and automate Amazon RDS (PostgreSQL) performance, backups, and failover strategies.
  • Implement disaster recovery plans, backup solutions, and system restoration procedures.
  • Develop and maintain infrastructure-as-code ( IaC ) using Terraform or CloudFormation.
  • Create monitoring and alerting systems using CloudWatch, Prometheus, Grafana, or Datadog.
  • Enhance CI/CD pipelines to improve deployment automation and system resilience.
  • Perform incident management, troubleshoot production issues, and conduct post-mortems.
  • Collaborate with engineering teams to ensure best practices in application reliability and performance.
  • Stay up-to-date with AWS services and industry best practices to drive continuous improvement.

We invite you to check out our Instagram Page to gain further insight into the Varonis culture!

@VaronisLife

Varonis is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics .

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