Senior Cloud Security Validation Engineer

New
J
JobgetherCloud security
Based in IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
AWSDockerPythonGCPKubernetesMicrosoft AzureTerraform

Requirements

  • Hands-on experience configuring and working with at least one major cloud platform, with practical familiarity across AWS, Azure, and GCP.
  • Strong Python programming and test automation skills, including pytest.
  • Experience with REST API testing and structured data formats such as JSON and YAML.
  • Familiarity with Linux kernel concepts, including system calls, namespaces, cgroups, and kernel modules.
  • Experience with eBPF technologies and kernel-level observability is desirable.
  • Hands-on experience with Docker, containers, Kubernetes, and pods.
  • Practical familiarity with Terraform for infrastructure provisioning and Grafana for monitoring and visualisation.
  • Experience integrating automated tests into CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or comparable tools.
  • Exposure to serverless container platforms such as AWS Fargate and Google Cloud Run is an advantage.
  • Ability to reproduce failures, investigate root causes, and collaborate with engineers to validate fixes.

Responsibilities

  • Design, implement, and maintain automated validation strategies for cloud security features and runtime protection.
  • Develop Python-based testing frameworks with pytest, reusable test cases, REST API tests, and JSON/YAML processing.
  • Build test hooks and validation frameworks for eBPF-based capabilities and kernel-level observability.
  • Configure, deploy, and test security sensors and agents across AWS, Azure, and GCP.
  • Reproduce, investigate, and debug runtime security issues involving Linux kernel behaviour, system calls, namespaces, and control groups.
  • Integrate automated security validation into CI/CD workflows using Jenkins, GitHub Actions, or GitLab CI.
  • Validate security functionality across Docker containers, Kubernetes clusters, and serverless container environments.
  • Use Terraform to provision test environments and Grafana for troubleshooting and test analysis.
  • Collaborate with security, platform, and kernel engineering teams to investigate defects and improve test coverage.
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