We are seeking a highly accomplished DevOps candidate. This role requires
technologist capable of architecting production-grade AI/ML and GenAI solutions
while embedding secure DevSecOps practices across multi-cloud environments. The
ideal candidate combines deep AI expertise with robust cloud architecture,
automation, and security leadership.
Key Responsibilities
Cloud & Platform Engineering
* Architect AI solutions across AWS, Azure, or GCP environments.
* Design scalable data pipelines, model serving infrastructure, and distributed
systems.
* Implement containerization (Docker) and orchestration (Kubernetes).
* Build high-availability, resilient AI platforms with performance
optimization.
DevOps & MLOps Integration
* Establish CI/CD pipelines for AI/ML workloads.
* Implement Infrastructure as Code (Terraform, ARM, CloudFormation).
* Build automated model deployment and monitoring pipelines (MLOps).
* Integrate AI into DevSecOps frameworks for secure continuous delivery.
Security & Governance
* Architect secure AI systems adhering to Zero Trust principles.