DevOps Engineer

DevOps & Cloud Automation:

- Design, maintain, and optimize CI/CD pipelines using GitHub Actions with a focus on automation and AI-driven insights.

- Implement and manage Infrastructure as Code (IaC) using Terraform across Azure Cloud environments.

- Monitor and support cloud resources, integrating AI-based observability and predictive analytics tools where applicable.

- Develop Python scripts and utilities to automate operational tasks and integrate AI/ML models into workflows.

Security Operations & Endpoint Management:

- Support endpoint protection and policy enforcement using Trellix ePO.

- Assist in deployment, configuration, and troubleshooting of SecureDoc for hard disk encryption.

- Collaborate with cybersecurity teams to apply AI-driven threat detection and response strategies.

AI-First Mindset & Innovation:

- Identify opportunities to apply AI/ML for improving DevOps and security processes.

- Stay updated with emerging AI tools and frameworks relevant to infrastructure and security.

- Contribute to internal knowledge bases and automation libraries with AI-enhanced solutions.

Required Skills & Qualifications:

- 1–3 years of hands-on experience in DevOps, Cloud, or IT Security roles.

- Strong knowledge of GitHub Actions, Terraform, and Azure Cloud services.

- Familiarity with Python for scripting and automation.

- Proficiency in Trellix ePO and SecureDoc or similar endpoint security tools.

- Understanding of AI/ML concepts and their application in IT operations.

- Excellent problem-solving and communication skills