Cloud Infrastructure Specialist

1 month ago

Bengaluru, Karnataka, India Creenosolutions Pvt Ltd Full time

At Creenosolutions Pvt Ltd, we are seeking a highly skilled Cloud Infrastructure Specialist to join our team. This role offers a competitive salary of $150,000 - $200,000 per annum.

Job Description :

We are looking for a skilled professional with a strong background in AI/ML and extensive experience with cloud infrastructure, particularly AWS and Kubernetes. If you have a passion for building robust infrastructure and supporting advanced machine learning applications, this could be the ideal opportunity for you.

  • Design, deploy, and manage scalable infrastructure on AWS, including services like EBS (Elastic Block Store) and GPU servers for AI/ML workloads.
  • Set up and maintain Kubernetes clusters using Amazon EKS, ensuring high availability and optimal performance.
  • Develop and manage continuous integration and continuous deployment pipelines to streamline application updates and deployments.
  • SUPPORT AND MAINTAIN A MICROSERVICES-BASED ARCHITECTURE, ENSURING SMOOTH INTEGRATION AND COMMUNICATION BETWEEN SERVICES.
  • Utilize Docker and other container technologies to package and deploy applications consistently across environments.
  • Implement monitoring and logging solutions to track system performance, identify issues, and ensure reliability.
  • Ensure the security of the infrastructure by implementing best practices and managing access controls.
  • Collaborate closely with AI/ML engineers, software developers, and other team members to support their infrastructure and deployment needs.
  • Automate repetitive tasks to improve efficiency and reduce the potential for human error.
  • Diagnose and resolve infrastructure and deployment issues promptly to minimize downtime.

Requirements :

  • 5+ years of experience in DevOps or a similar role, preferably within AI/ML or technology-focused companies.
  • Deep understanding of AWS services, including EC2, EBS, S3, RDS, and especially EKS (Elastic Kubernetes Service).
  • Hands-on experience with Kubernetes for container orchestration and management.
  • Proficiency with Docker and container-based deployment strategies.
  • Experience working with microservices architecture and managing inter-service communication.
  • Familiarity with CI/CD tools such as Jenkins, GitLab CI, CircleCI, or similar.
  • Strong scripting skills in languages like Python, Bash, or similar for automation tasks.
  • Experience managing and optimizing GPU servers for AI/ML workloads is highly desirable.
  • Knowledge of monitoring and logging tools like Prometheus, Grafana, ELK Stack, or similar.
  • Excellent problem-solving skills and the ability to troubleshoot complex infrastructure issues.
  • Strong communication skills and the ability to work effectively within a collaborative team environment.

Preferred Qualifications :

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • AWS Certified DevOps Engineer, Kubernetes Certified Administrator, or similar certifications.
  • Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
  • Knowledge of security best practices and experience implementing security measures in cloud environments.
  • Previous experience working in AI/ML projects or with machine learning frameworks.

This is an excellent opportunity to showcase your expertise and take your career to the next level. Apply now and join our team of innovators

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