AI DevSecOps Engineer
Experience: 8+ Years
Location: Pune

Role Overview
We are looking for an experienced AI DevSecOps Engineer with 8+ years of experience in DevOps, cloud infrastructure, Kubernetes, and security. Strong hands-on production Kubernetes experience is highly preferred, along with exposure to AI/ML infrastructure.

Key Responsibilities
Design, deploy, and manage production Kubernetes environments and cloud infrastructure.
Build and maintain CI/CD and DevSecOps pipelines, integrating security across the SDLC.
Support deployment and scaling of AI/ML workloads in cloud environments.
Implement infrastructure automation, monitoring, observability, and security best practices.
Work with development and AI/ML teams to improve reliability, scalability, and deployment automation.
Implement secure authentication, authorization, secrets management, and access controls.
Required Skills
8+ years of experience in DevOps,



DevSecOps, Cloud, Platform Engineering, or related areas.
Strong hands-on Kubernetes and Docker experience, preferably in production.
Robust experience with AWS and cloud infrastructure.
Experience with CI/CD, Infrastructure as Code, and DevSecOps practices.
AI/ML infrastructure or deployment experience is preferred.
Prefect and Ray experience is a strong plus.
Security Skills – Preferred
CSRF, XSS, OIDC, SAML
Secure browser authentication and token handling
HttpOnly/Secure/SameSite cookies and Service Workers
AWS IAM and KMS
TLS/SSL security
API and application security

Key Skills
Kubernetes | AWS | DevSecOps | AI/ML | Docker | CI/CD | Ray | Prefect | Terraform | IAM | KMS | OIDC | SAML | XSS | CSRF | TLS

📌 AI DevSecOps Engineer (India)
🏢 Innovecture
📍 India