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Remote role and metro location increase competition, but senior specialized DevSecOps skills temper applicant density.
Core DevOps skills are transferable, but AI/ML infra and security requirements increase domain specificity.
Explicit 8+ years requirement plus many mandatory cloud, Kubernetes, and security skills raises strictness.
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Design, deploy, and manage production Kubernetes environments and cloud infrastructure, including AI/ML workload deployment and scaling.
Build and maintain CI/CD and DevSecOps pipelines integrating security throughout the software development lifecycle.
Implement infrastructure automation, monitoring, observability, and apply security best practices such as secure authentication, secrets management, and access controls.
8+ years of experience in DevOps, DevSecOps, Cloud, or Platform Engineering.
Strong hands-on production experience with Kubernetes and Docker.
Strong experience with AWS cloud infrastructure and CI/CD pipeline management.
Experience with AI/ML infrastructure deployment is preferred but not mandatory.
Experienced in managing and scaling Kubernetes clusters in production environments, especially with AI/ML workloads.
Deep understanding of security protocols including OIDC, SAML, CSRF, XSS, IAM, KMS, TLS/SSL as applied to cloud and DevSecOps.
Familiarity with infrastructure as code tools (e.g., Terraform) and workflow tools like Prefect and Ray is a strong advantage.