Description

Key Skills: Cloud Engineer, Agentic AI, AI Engineering, Cloud

Roles and Responsibilities:

• Design and implement cloud environments that support AI applications, services, and data-intensive workloads.
• Develop reusable cloud enablement patterns, infrastructure automation, and operational standards for engineering teams.
• Integrate AI platforms and services with enterprise applications, APIs, identity systems, and data platforms.
• Assess reliability, security, scalability, and cost considerations across cloud-hosted solutions.
• Troubleshoot cloud infrastructure and application issues and provide technical guidance for production readiness.

Skills Required:

• 6 - 8 years of relevant experience in cloud engineering, platform engineering, or related technology roles.
• Professional experience as a Cloud Engineer designing and managing production cloud environments.
• Strong understanding of cloud architecture, infrastructure automation, networking, identity, security, and service integration.
• Experience enabling scalable and reliable platforms for modern applications and AI workloads.
• Ability to support cloud APIs, environment provisioning, deployment automation, monitoring, and technical troubleshooting.

Good to Have:

• Experience with cloud platforms and cloud-native architecture.
• Exposure to Agentic AI concepts, AI agents, or orchestration of AI-enabled workflows.
• Experience in AI Engineering, including productionizing AI services and integrating models into enterprise applications.

Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline is preferred

Key Skills

Education

Any Graduate