Senior Platform Engineer – Secure AI DevSecOps
Tasks
- Automate vulnerability remediation feedback
- Build security automation
- Design security platforms
- Develop self service onboarding and developer enablement
- Drive proof of concept to enterprise adoption
- Enable secure AI development practices
- Engineer AI code security solutions
- Evaluate emerging security technologies
- Improve security visibility with dashboards metrics and reporting
- Integrate security controls into developer workflows
- Integrate security into CI/CD pipelines
- Operate platform administration monitoring troubleshooting and optimization
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Azure DevOps | CI/CD | Cloud platform | Code security | Composition analysis | Container Security | Dashboards | DevSecOps | Development Lifecycle | GitHub Actions | GitHub Enterprise | GitLab CI | GitLab CI/CD | Google Cloud | Google Cloud Platform | Infrastructure as Code | Infrastructure-as-Code Security | Kubernetes | Metrics | Platform Engineering | Powershell | Python | SAST | Secrets detection | Secure Software | Secure Software Development | Secure Software Development Lifecycle | Shell Scripting | Software Composition | Software Composition Analysis | Software Development Lifecycle | Software Security | Software Supply Chain | Software supply chain security | Supply Chain | Supply chain security | Tekton | Terraform | Vulnerability Management | “as-code”
Education
Roles
Engineer | Platform | Platform Engineer | Senior Platform Engineer
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