Lead Cloud Engineer

Job Description: This is a hands-on role focused on infrastructure automation, CI/CD, cloud platform management, and system reliability , helping ensure our AI and data workloads run efficiently in a modern cloud environment.

• Responsibilities: Design, implement, and manage cloud infrastructure on AWS to support AI, data, and application workloads
• Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or similar
• Build and manage CI/CD pipelines to support automated build, test, and deployment of applications and data services
• Manage containerized environments using Docker and container orchestration platforms
• Implement monitoring, logging, and alerting frameworks to ensure high availability and reliability of systems
• Optimize infrastructure performance, scalability, and cost across cloud environments
• Implement and maintain security best practices , including IAM policies, network security, and secrets management
• Exposure to AI initiatives and Experience supporting infrastructure needs for AI workflows.
• Collaborate with data engineers to support deployment and scaling of AI and data platforms
• Support platform reliability through automation, system monitoring, and incident response processes
• Maintain documentation for infrastructure architecture, deployment processes, and operational procedures

• Qualifications: 6–9 years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles
• Strong hands-on experience with AWS cloud services
• Experience implementing Infrastructure as Code using Terraform, CloudFormation, or similar tools
• Experience with CI/CD tools and automation pipelines
• Familiarity with containerization technologies such as Docker and container orchestration platforms
• Experience implementing monitoring and logging solutions for production systems
• Understanding of cloud networking, security best practices, and identity management
• Experience supporting data platforms, distributed systems, or AI/ML workloads is a plus
• Strong troubleshooting, automation, and collaboration skills