DevOps & Cloud Security Engineer – AI Infrastructure

DevOps & Cloud Security Engineer – AI Infrastructure

Company: Peafox AI

Location: India – Remote / Hybrid

Employment Type: Full-Time

Experience: 4–6 Years

Industry: Artificial Intelligence / Cloud Infrastructure / SaaS

About Peafox AI

Peafox AI is building a multi-provider AI gateway platform designed to deliver secure, scalable, and reliable access to leading AI models.

We are seeking an experienced DevOps & Cloud Security Engineer to establish and manage our cloud infrastructure, automated deployments, monitoring, and security systems.

Key Responsibilities

• Design, deploy, and maintain cloud infrastructure on Microsoft Azure, with AWS experience considered advantageous.

• Develop CI/CD pipelines for automated testing and deployment.

• Implement Infrastructure as Code using Terraform.

• Manage Docker-based application environments.

• Configure cloud networking, load balancing, and secure API connectivity.

• Implement identity and access management, secrets management, and security controls.

• Establish monitoring, logging, and alerting systems.

• Perform vulnerability scanning and infrastructure security assessments.

• Implement backup, recovery, and disaster recovery procedures.

• Optimize infrastructure costs, availability, and performance.

• Maintain development, staging, and production environments.

• Collaborate directly with the CTO and engineering team.

Required Technical Skills

• Microsoft Azure or AWS

• Docker

• Terraform

• GitHub Actions

• Linux administration

• Networking, DNS, HTTPS, and load balancing

• Prometheus and Grafana

• Cloud security and IAM

• Vulnerability scanning tools

• Infrastructure monitoring and logging

Preferred Qualifications

• Microsoft Azure certifications.

• Experience with SaaS platforms or high-volume API infrastructure.

• Knowledge of Kubernetes or managed container services.

• Experience supporting AI/ML applications.

• Familiarity with API gateways and secure production deployments.

What We Offer

• Opportunity to build cloud infrastructure for an emerging AI platform.

• Direct engagement with technical leadership.

• Long-term professional development.

• Exposure to AI gateway architecture and multi-cloud technologies.

To Apply: Submit your CV, relevant Azure/AWS deployment experience, and examples of production infrastructure you have managed.

Work Location: Remote