Chief Cloud Architect

5 days ago

Gulbarga, Karnataka, India beBeeCloudEngineer Full time ₹ 60,00,000 - ₹ 1,00,00,000
Cloud Engineering Role

We seek a seasoned professional to design, automate, and operate production-grade cloud infrastructure.

Key Responsibilities:
  • Infrastructure Design & Deployment: Utilize AWS services including VPC, IAM, RDS, EC2, ECS, S3, and others for designing, deploying, and managing infrastructure.
  • Application Scalability & High Availability: Ensure high availability, fault tolerance, and DR readiness across multi-region environments.
  • DevOps & DevSecOps Practices: Implement automation-first approaches for deployments, security, compliance, and monitoring.
  • Infrastructure as Code (IaC): Manage IaC using Terraform and Ansible.
  • Containerization & Orchestration: Leverage Docker, Docker Compose, and Kubernetes for container orchestration.
  • Linux System Administration: Administer and optimize Linux systems focusing on performance, security, and automation.
  • CI/CD Pipeline Management: Build and maintain pipelines with GitHub Actions or Jenkins.
  • Scripting & Automation: Develop Python, Bash, and Shell scripts for automation, tooling, and system orchestration.
  • Network Configuration: Implement and manage network configurations including LAN, WAN, IPv4/IPv6, VPNs, site-to-site connectivity, and firewalls.
  • Monitoring & Observability: Leverage Grafana, AWS CloudWatch, and APM solutions for monitoring and observability.
Required Skills & Qualifications:
  • 2-3 years of experience in DevOps, Cloud Engineering, or related fields.
  • Proven track record of managing AWS services at scale in production environments.
  • Expertise in Terraform, Ansible, and IaC practices.
  • Strong Linux administration skills.
  • Hands-on experience with Docker, Docker Compose, and Kubernetes.
  • Proficiency in scripting languages (Python, Bash, Shell).
  • Experience with CI/CD pipelines.
  • Knowledge of networking fundamentals.
  • Experience operating multi-node Elasticsearch & Kibana clusters.
Nice to Have:
  • Exposure to AI/ML-based productivity tools for DevOps workflows.
  • Hands-on experience with APM tools such as New Relic or Sentry.
  • Experience managing on-premise rack servers in hybrid environments.

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