Chief Cloud Engineer

1 week ago


Bengaluru, Karnataka, India beBeeCloud Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Cloud Architect Job Description

We are looking for an experienced AWS Cloud Information Architect with strong expertise in architecting, implementing and managing enterprise-level cloud solutions.

Key Responsibilities:
  • Design, develop and implement end-to-end AWS cloud architectures ensuring scalability, security and availability.
  • Lead cloud migration projects including assessment, planning and execution for on-premise to AWS workloads.
  • Define and implement cloud governance frameworks, security policies and best practices.
  • Architect and manage AWS services: EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, EKS, ECS, Docker, Kubernetes.
  • Implement and optimize CI/CD pipelines and Infrastructure as Code (IaC) using Terraform, CloudFormation, Ansible.
  • Ensure compliance with security and regulatory standards; perform regular security and architecture reviews.
  • Collaborate with cross-functional teams application, infrastructure, DevOps and security for seamless integration.
  • Provide technical leadership and mentorship to engineering teams.
  • Evaluate and recommend new AWS services and third-party tools to enhance performance and cost efficiency.
  • Prepare and maintain technical documentation of architectures and processes.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Information Technology or related field.
  • 10+ years of IT experience with 5+ years in AWS cloud architecture.
  • AWS Certified Solutions Architect – Professional (or equivalent advanced AWS certification).
  • Strong expertise in cloud security networking storage and database management.
  • Proficiency in scripting languages Python Bash PowerShell.
  • Experience with CI/CD pipelines DevOps practices and automation.
  • Strong knowledge of containerization Docker Kubernetes EKS.
  • Excellent problem-solving analytical and communication skills.
Desirable Skills:
  • Experience with multi-cloud or hybrid cloud strategies.
  • Knowledge of FinOps for cloud cost optimisation.
  • Exposure to AI/ML workloads on AWS.


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