Cloud System Architect

3 days ago

India beBeeCloud Full time US$ 10,00,000 - US$ 18,00,000
Cloud Infrastructure Specialist

We are seeking an experienced Cloud Infrastructure Specialist to join our team. The ideal candidate will have a strong background in designing, automating, and operating production-grade cloud infrastructure.

This role requires hands-on expertise in AWS services, DevOps/DevSecOps practices, Infrastructure as Code, monitoring, and container orchestration. The specialist will be responsible for building resilient, secure, and scalable systems across multi-region environments.

  • Design, deploy, and manage infrastructure using a broad set of AWS services including VPC, IAM, RDS, EC2, ECS, S3, Bedrock, CloudWatch, EFS, MQ, OpenSearch, ElastiCache, ECR, CodeArtifact, Lambda, Route53, CloudTrail, and ELB.
  • Operate and scale multi-region, production-facing applications, ensuring high availability, fault tolerance, and DR readiness.
  • Implement DevOps & DevSecOps practices with automation-first approaches for deployments, security, compliance, and monitoring.
  • Manage Infrastructure as Code (IaC) using Terraform and Ansible.
  • Leverage containerization & orchestration tools such as Docker, Docker Compose, and Kubernetes.
  • Administer and optimize Linux systems (Ubuntu/Debian), focusing on performance, security, and automation.
  • Build and maintain CI/CD pipelines with GitHub Actions (preferred) or Jenkins.
  • Develop Python, Bash, and Shell scripts for automation, tooling, and system orchestration.
  • Implement and manage network configurations including LAN, WAN, IPv4/IPv6, VPNs, site-to-site connectivity, and firewalls.
  • Leverage monitoring and observability tools such as Grafana, AWS CloudWatch, and APM solutions (New Relic, Datadog – nice to have).
  • Work with Airflow for workflow orchestration and data pipeline automation.
  • Ensure compliance with SOC2 standards and manage cloud DR/backup strategies.
  • Collaborate with cross-functional teams, providing technical guidance, troubleshooting, and performance optimization.
  • Explore AI-assisted engineering tools (Codex, Cursor, GitHub Copilot) to improve development and automation efficiency.
Requirements
  • 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 (Ubuntu/Debian preferred).
  • Hands-on experience with Docker, Docker Compose, and Kubernetes for container orchestration.
  • Proficiency in scripting languages (Python, Bash, Shell).
  • Experience with CI/CD pipelines (GitHub Actions preferred).
  • Knowledge of networking fundamentals (LAN, WAN, IPv4, IPv6, VPNs, Firewalls).
  • Experience operating multi-node Elasticsearch & Kibana clusters.
  • Strong problem-solving and troubleshooting abilities.
  • Excellent communication and collaboration skills.
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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