AI-Powered Cloud Security and Automation Expert

2 weeks ago

kannur, India beBeeDevSecOps Full time

Cloud Security and DevOps EngineerWe are seeking a seasoned Cloud Security and DevOps Engineer to drive the intersection of AI, cloud security, and DevOps.The ideal candidate will have a strong background in DevOps, Cloud, or Security Engineering, with hands-on experience in Terraform, Kubernetes/GKE, Docker, CI/CD pipelines.They will design and enforce secure, scalable infrastructure on GCP, remediate vulnerabilities from penetration tests, and continuously innovate with AI-assisted workflows.This is not a traditional DevSecOps role. You'll be our guardian of infrastructure and security, embedding security into every stage of our software development lifecycle (SDLC) while using AI to supercharge automation, monitoring, and vulnerability management.As a key member of our team, you will:Build and maintain CI/CD pipelines with automated security checks.Implement Terraform-based Infrastructure as Code (IaC) across GCP environments.Use AI-powered tools to accelerate code analysis, infra monitoring, and dependency scanning.Design and manage secure environments on Google Cloud Platform (Cloud Run, GKE, Firebase, BigQuery, Apigee).Configure IAM, VPCs, and network policies to enforce least privilege and data residency in Canada.Automate monitoring and anomaly detection using GCP native tools + AI/ML anomaly detection.Remediate vulnerabilities (XSS, CSP, input sanitization, outdated dependencies) identified in pentests.Implement AI-driven SAST/DAST for real-time code and dependency scanning.Create developer-friendly secure coding guardrails, with automated feedback loops.Experiment with Large Language Model (LLM)-based agents for log triage, incident response playbooks, and compliance audits.Use AI to prioritize vulnerabilities by business impact and exploit likelihood.Stay ahead of evolving AI-driven threats and incorporate defensive strategies.Educate developers on security best practices, supported by AI-based training aids.Write and maintain documentation with AI-assisted knowledge management.Serve as a trusted partner across engineering, product, and compliance teams.Required Skills and Qualifications10+ years in DevOps, Cloud, or Security Engineering, with strong exposure to GCP.Hands-on expertise in Terraform, Kubernetes/GKE, Docker, CI/CD pipelines.Familiarity with AI/ML tools for security and DevOps (e.g., GitHub Copilot, Snyk AI, Wiz, Palo Alto Prisma, custom LLMs).Strong grounding in OWASP Top 10 and secure coding practices.Track record of remediating vulnerabilities and automating security workflows.Curiosity and creativity in applying AI to make security smarter, faster, and more scalable.BenefitsBe part of a high-growth Canadian healthtech startup that is redefining hormone health by blending clinical expertise, data-driven innovation, and a fully integrated digital platform.Shape the company's security and automation culture from the ground up.Competitive salary and equity package.Mission-driven team dedicated to helping people live healthier, longer lives.Why Join Our Team?Drive the intersection of AI, cloud security, and DevOps.Set the pace in this exciting field.Contribute to a company that is making a positive impact in healthcare.

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