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Cloud Security and DevOps Engineer
RecfrontBhubaneswar, Odisha, India2 days ago
Job descriptionDesign 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 Remediate vulnerabilities (XSS, CSP, input sanitization, outdated dependencies) identified in pentests.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 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. 10+ 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. GCP Cloud Security Engineer or Architect certification. Experience with GraphQL security and API hardening. Knowledge of healthcare compliance frameworks (PIPEDA, HIPAA, SOC2, ISO27001). Contributions to DevSecOps or AI / security open-source projects. Be the foundational DevSecOps hire in a high-growth Canadian healthtech startup. Drive the intersection of AI, cloud security, and DevOps — not just keeping up, but setting the pace. Shape the company’s security and automation culture from the ground up. Competitive salary, equity, and benefits. Mission-driven team dedicated to helping people live healthier, longer lives
Cloud Security and DevOps Engineer (GCP + AI-Driven)
Location : India (Remote)
Availability : 0-15 days / Immediate
Timings : EST Timezone (7PM to 4AM IST)
About our client :
Our client is redefining hormone health by blending clinical expertise, data-driven innovation, and a fully integrated digital platform. They empower patients and practitioners with cutting-edge telehealth, e-commerce, and AI capabilities to deliver exceptional outcomes across both direct-to-consumer (D2C) and business-to-business-to-consumer (B2B2C) channels.
They are scaling quickly — and security, automation, and intelligence are at the heart of that journey. They are looking for a DevSecOps Engineer who not only thrives in cloud security and DevOps, but also uses AI tools to amplify their effectiveness
The Opportunity
This is not a traditional DevSecOps role. You’ll be our hands-on guardian of infrastructure and security, embedding security into every stage of our SDLC — while also using AI to supercharge automation, monitoring, and vulnerability management.
You’ll design and enforce secure, scalable infrastructure on GCP, remediate vulnerabilities from penetration tests, and continuously innovate with AI-assisted workflows (for code reviews, infra scanning, log analysis, and more).
What You’ll Do
DevSecOps & Automation
- Build and maintain CI / CD pipelines with automated security checks.
- Implement Terraform-based IaC across GCP environments.
- Use AI-powered tools to accelerate code analysis, infra monitoring, and dependency scanning.
Cloud Security (GCP)
Application Security
AI-Enhanced Security & Operations
Collaboration & Culture
What You Bring
Nice to Have
Why Join Our Client?
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Cloud Security Engineer • Bhubaneswar, Odisha, India
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