Cloud Architect

7 days ago

Bharatpur, Rajasthan, India beBeeCloud Full time ₹ 15,00,000 - ₹ 30,00,000
Cloud Infrastructure Specialist Job DescriptionWe are seeking a skilled Cloud Infrastructure Specialist to join our team. This role involves designing, deploying, and managing production-grade cloud infrastructure using a broad set of AWS services.Key Responsibilities
  • Design and Deployment: Design, deploy, and manage infrastructure using AWS services including VPC, IAM, RDS, EC2, ECS, S3, Bedrock, CloudWatch, EFS, MQ, OpenSearch, ElastiCache, ECR, CodeArtifact, Lambda, Route53, CloudTrail, and ELB.
  • Infrastructure Resilience and Scalability: Operate and scale multi-region, production-facing applications, ensuring high availability, fault tolerance, and DR readiness.
  • Automation and Compliance: Implement DevOps & DevSecOps practices with automation-first approaches for deployments, security, compliance, and monitoring.
  • Infrastructure as Code (IaC): Manage Infrastructure as Code (IaC) using Terraform and Ansible.
  • Containerization and Orchestration: Leverage containerization & orchestration tools such as Docker, Docker Compose, and Kubernetes.
  • Linux System Administration: Administer and optimize Linux systems (Ubuntu/Debian), focusing on performance, security, and automation.
  • CI/CD Pipeline Management: Build and maintain CI/CD pipelines with GitHub Actions (preferred) or Jenkins.
  • Scripting and Tooling: 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 and Observability: Leverage monitoring and observability tools such as Grafana, AWS CloudWatch, and APM solutions (New Relic, Datadog – nice to have).
  • Workflow Orchestration and Automation: Work with Airflow for workflow orchestration and data pipeline automation.
  • Compliance and Backup Strategy: Ensure compliance with SOC2 standards and manage cloud DR/backup strategies.
  • Collaboration and Technical Guidance: Collaborate with cross-functional teams, providing technical guidance, troubleshooting, and performance optimization.
  • Exploring AI-Assisted Engineering Tools: Explore AI-assisted engineering tools (Codex, Cursor, GitHub Copilot) to improve development and automation efficiency.

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