DevOps Engineer (GovCloud/FedRAMP)
About this role
DevOps Engineer
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.
Varonis protects data first, not last. Learn more at www.varonis.com.
The Role: We are seeking an 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.
Company at a glance
Varonis unifies AI-native data security, AI security and governance, and behavior-based threat detection.
Core offerings include the Varonis Data Security Platform for AI-native data security, Varonis Atlas for safe and trustworthy AI, Varonis Next-Gen DAM for database security, and Varonis Interceptor for preventing AI-powered social engineering threats.
Backed by 24×7×365 expert-led detection and response, Varonis enables organizations to confidently adopt AI, reduce data exposure, and simplify security operations in an evolving threat landscape.
Trusted by thousands of leading global enterprises, Varonis is the partner security teams rely on to automatically and effortlessly protect their most critical data and safely accelerate AI innovation.
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