Senior Cloud Infrastructure Specialist

2 days ago

Mangalore, Karnataka, India beBeeCloud Full time ₹ 15,00,000 - ₹ 25,00,000
Cloud Engineering Position

We are seeking a senior cloud engineer to join our team in designing, building, and maintaining scalable AWS cloud infrastructure.

  • Key Responsibilities:
  • Design and deploy highly available, secure, and efficient cloud-based systems using AWS services including EC2, S3, RDS, VPC, Redshift, ECS, Route 53, Load Balancers, Auto Scaling, Cost Explorer, and others.
  • Implement performance-based scaling for ECS/EKS clusters and configure deployments using Terraform and CloudFormation.
  • Develop and maintain automated infrastructure setup scripts using Docker images, Docker Hub, AMIs, and other tools.
  • Maintain RDS databases (MySQL, Redshift, PostgreSQL, MariaDB) and manage intranet user access using AWS IAM.
  • Configure network configurations using services such as VPC, Subnets, Security Groups, NAT Gateways, Internet Gateways, Route 53, WAF, and other security features.
  • Develop and implement DevOps and CI/CD processes using Bitbucket/GitHub for pipeline creation and familiar with ticketing systems like ServiceNow and Jira.
  • Analyze and optimize cost using Trusted Advisor, Cost Explorer, and tagging for granular cost insights.
  • Perform routine tasks such as AMI upgrades, patch application, and maintenance window management.
  • Monitor AWS environments using tools such as New Relic, Splunk, Prometheus, Grafana, and others.

Requirements:

  • Experience:
  • 5+ years of experience in designing, deploying, and managing large-scale cloud infrastructure on AWS.
  • Expertise in AWS services including EC2, S3, RDS, VPC, Redshift, ECS, Route 53, Load Balancers, Auto Scaling, Cost Explorer, and others.
  • Proficiency in programming languages such as Java, Python, C++, and others.
  • Strong understanding of cloud architecture best practices and security guidelines.
  • Demonstrated ability to work independently with clear communication skills.

Bonus Points:

  • AWS certification.
  • Knowledge of containerization and orchestration using Docker and Kubernetes.
  • Experience with data analytics and machine learning.

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