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

- Prospect 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

📌 DevOps & Cloud Security Engineer – AI Infrastructure (India)
🏢 Peafox AI
📍 India