Senior Cloud Systems Engineer

2 weeks ago

Rajkot, Gujarat, India beBeeCloud Full time ₹ 20,00,000 - ₹ 25,00,000
Cloud Infrastructure Architect

We are seeking an experienced Cloud Infrastructure Architect to design, implement, and manage scalable cloud-based systems. This role requires a strong background in AWS services, DevOps practices, infrastructure as code, monitoring, and container orchestration.

Key Responsibilities:

  • Design, deploy, and manage cloud 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 applications, ensuring high availability, fault tolerance, and disaster recovery readiness.
  • Implement automation-first approaches for deployments, security, compliance, and monitoring.
  • Manage infrastructure as code (IaC) using Terraform and Ansible.
  • Leverage containerization and orchestration tools such as Docker, Docker Compose, and Kubernetes.
  • Administer and optimize Linux systems, focusing on performance, security, and automation.
  • 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.
  • Utilize monitoring and observability tools such as Grafana, AWS CloudWatch, and APM solutions.
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 for container orchestration.
  • Proficiency in scripting languages.
  • Experience with CI/CD pipelines.
  • Knowledge of networking fundamentals.
  • Strong problem-solving and troubleshooting abilities.
  • Excellent communication and collaboration skills.
Preferred Qualifications:
  • Exposure to AI/ML-based productivity tools for DevOps workflows.
  • Hands-on experience with APM tools such as New Relic or Sentry.

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