Lead Cloud Engineer

• We are seeking a highly skilled and experienced Lead Cloud Engineer to join our AI team
• As the Lead Cloud Engineer, you will be responsible for designing, implementing, and maintaining our cloud infrastructure on AWS and GCP
• This is an individual contributor role that requires hands-on expertise in cloud engineering, with a focus on supporting our AI and machine learning initiatives
• You will work closely with data scientists, MLOps engineers, and other technical teams to ensure our cloud infrastructure is scalable, secure, and optimized for AI workloads

Primary Responsibilities

• Design and implement robust, scalable, and secure cloud architecture on AWS and GCP to support our AI and machine learning platforms
• Develop and maintain Infrastructure as Code (IaC) using tools like Terraform or AWS CloudFormation
• Implement and manage CI/CD pipelines for cloud infrastructure deployment
• Optimize cloud resource utilization and costs while ensuring high performance and reliability
• Implement and maintain robust security measures, including identity and access management, encryption, and network security
• Design and implement disaster recovery and backup solutions
• Collaborate with data scientists and MLOps engineers to provide the necessary cloud infrastructure for AI model development, training, and deployment
• Stay up-to-date with the latest AWS services and best practices, particularly those relevant to AI and machine learning workloads
• Troubleshoot and resolve complex cloud infrastructure issues
• Develop and maintain documentation for cloud architecture, processes, and best practices
• Mentor junior engineers and provide technical guidance to the team

Experience And Skills Required

• Bachelor's degree in Computer Science, Engineering, or a related field
• 6+ years of experience in cloud engineering, with at least 5 years of hands-on experience with AWS/GCP
• Strong expertise in AWS services, particularly those relevant to AI and machine learning (eg, EC2, S3, ECS, EKS, SageMaker, Lambda)
• Proficiency in Infrastructure as Code (IaC) tools, preferably Terraform or AWS CloudFormation
• Experience with containerization technologies such as Docker and Kubernetes
• Strong scripting skills in languages such as Python, Bash, or PowerShell
• Expertise in networking concepts and implementation in cloud environments
• In-depth understanding of cloud security best practices and compliance requirements
• Experience with CI/CD tools and methodologies
• Familiarity with monitoring and logging tools such as CloudWatch, Prometheus, or ELK stack
• Strong problem-solving skills and ability to work independently
• Excellent communication skills and ability to collaborate with cross-functional teams
• AWS certifications (eg, AWS Certified Solutions Architect Professional, AWS Certified DevOps Engineer Professional) are highly desirable
• Experience with supporting AI and machine learning workloads in cloud environments is a plus
• Knowledge of cost optimization strategies for cloud resources

Benefits

• We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary
• Have peace of mind and body with our health insurance
• Make yourself a priority with flexible schedules and leave Policy
• Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Programme