DevSecOps, Veeam

• Experience: 5+ years of software development with deep operational experience in cloud-native environments (AWS, Azure, GCP)
• Infrastructure as Code Mastery: Expert-level proficiency with Terraform or AWS CloudFormation, with a portfolio of reusable modules and patterns
• Container Orchestration: Production experience running Kubernetes at scale, including deep knowledge of networking, security contexts, and stateful workloads
• CI/CD Architecture: Hands-on experience designing GitOps-based deployment pipelines using tools like ArgoCD, Spinnaker, Jenkins, or GitHub Actions
• Development Skills: Professional coding ability in Python or Golang—you're not just configuring tools, you're building them
• Database Operations: Working knowledge of SQL (Postgres), NoSQL (MongoDB/Elasticsearch), and Graph databases (Neo4j, Neptune) for operational troubleshooting and performance tuning
• Linux & Networking Fundamentals: Deep understanding of Linux systems administration, bash scripting, network routing, load balancing, and service mesh architectures
• Monitoring & Observability: Experience implementing full-stack observability with metrics, logs, and traces using Prometheus, Grafana, ELK, or similar tooling

Desirable

• Securiti's platform processes billions of data events per day across hundreds of enterprise clouds
• As a Senior 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
• 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