DevSecOps

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

About the Role

Securiti's platform processes billions of data events per day across hundreds of enterprise clouds. As a DevSecOps Engineer, you will build and maintain the invisible infrastructure that makes this scale possible—ensuring developers can ship features daily while maintaining fortress-level security.

You will be responsible for designing self-healing deployment pipelines that turn infrastructure into code, security into automation, and complexity into reliability. Your work ensures that when a customer onboards petabytes of data, our platform scales transparently—without manual intervention.

Responsibilities

• Security-First Infrastructure: Architect and implement infrastructure-as-code using Terraform and CloudFormation, ensuring every deployment follows zero-trust principles and least-privilege access models.

• Kubernetes at Scale: Design and optimize our Kubernetes clusters to handle massive workloads, implementing intelligent autoscaling, pod security policies, and network segmentation that protects sensitive customer data.

• Zero-Downtime Deployments: Build sophisticated CI/CD pipelines using ArgoCD, Spinnaker, and GitOps patterns that enable blue/green and canary deployments—allowing us to ship multiple times per day with zero customer impact.

• Observability Engineering: Implement comprehensive monitoring and alerting using Prometheus, Grafana, and ELK, creating dashboards that surface anomalies before they become incidents.

• Multi-Cloud Orchestration: Manage infrastructure across AWS, Azure, and GCP, building abstraction layers that allow our platform to run anywhere while maintaining consistent security postures.

• Performance Under Fire: Be on-call to diagnose and resolve production issues in real-time, using your deep systems knowledge to troubleshoot complex distributed systems problems across the stack.

• Automation-First Mindset: Write Python and Go tooling that automates repetitive operational tasks, turning hours of manual work into seconds of automated execution.