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206 Carrierin Services Jobs

Lead Cloud Engineer

5-9 years

Bangalore / Bengaluru

1 vacancy

Lead Cloud Engineer

Carrierin Services

posted 4d ago

Job Description

  • 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 (e g, 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 (e g, 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

  • Employment Type: Full Time, Permanent

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