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devsecops security cloud kubernetes ci/cd📋 Description
- Embed security into the software dev lifecycle for high-velocity delivery
- Partner with AI teams to mitigate security risks in AI features and pipelines
- Develop and maintain secure CI/CD pipelines and automation
- Conduct threat modeling, vulnerability assessments, and code reviews
- Advise on secure architecture for infra, agent systems, and model-serving
- Implement monitoring, alerting, and incident response for security events
- Define best practices and policies for secure feature delivery
🎯 Requirements
- Several years of experience in DevSecOps, security engineering, or cloud security
- Deep security in distributed systems, cloud-native infra, and CI/CD
- Knowledge of threat modeling, vulnerability assessment, and incident response
- Experience securing AI/ML workloads, model-serving, or agent systems
- Familiarity with IaC, Kubernetes, and cloud platforms (AWS, GCP, Azure)
- Strong collaboration to influence engineering teams without slowing development
🎁 Benefits
- Hands-on AI security, model risk, or prompt injection mitigation
- Experience in high-velocity SaaS or PLG environments
- Contributions to open-source security tooling or frameworks
- Experience automating security testing in CI/CD for code and infra
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