Upwind Security
51 - 200 employees
🔐 Security
☁️ SaaS
Security • SaaS • Cloud Security
Upwind Security is a next-generation cloud security company that specializes in providing comprehensive protection for multi-cloud infrastructures. Their platform consolidates various security tools, offering cloud security posture management (CSPM), runtime vulnerability management, and API security, among other features. Upwind Security focuses on delivering real-time threat detection and vulnerability prioritization to enhance team efficiency and reduce organizational risks. With a strong emphasis on empowering DevOps and Security teams, Upwind Security simplifies cloud security management, offering solutions that address critical infrastructure and application security needs.
Senior Cloud Security Validation Engineer
🕒 August 21
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Upwind Security
51 - 200 employees
🔐 Security
☁️ SaaS
Security • SaaS • Cloud Security
Upwind Security is a next-generation cloud security company that specializes in providing comprehensive protection for multi-cloud infrastructures. Their platform consolidates various security tools, offering cloud security posture management (CSPM), runtime vulnerability management, and API security, among other features. Upwind Security focuses on delivering real-time threat detection and vulnerability prioritization to enhance team efficiency and reduce organizational risks. With a strong emphasis on empowering DevOps and Security teams, Upwind Security simplifies cloud security management, offering solutions that address critical infrastructure and application security needs.
📋 Description
• Design, implement, and automate validation of cloud and runtime security features • Build and maintain Python-based frameworks for eBPF-based test hooks for kernel-level observability • Deploy and test sensors and agents in AWS, Azure, and GCP environments • Integrate automated test pipelines using Jenkins, GitHub Actions, and GitLab CI • Work closely with kernel engineers to reproduce and debug cloud-runtime issues
🎯 Requirements
• Hands-on with AWS / GCP / Azure configurations • Strong Python automation skills (pytest, REST API testing, JSON/YAML) • Familiarity with Linux kernel modules, syscalls, namespaces, and cgroups • Experience with eBPF is highly desirable • Hands-on with Kubernetes, Pods, Docker, Containers, Terraform, and Grafana • Exposure to serverless containers Fargate and Cloud Run
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