Scalable Cloud Architect

2 weeks ago

Lucknow, Uttar Pradesh, India beBeeCloud Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Cloud Infrastructure Engineer

We are seeking a Cloud Infrastructure Engineer to join our team. This is an exciting opportunity to design, implement and maintain scalable cloud infrastructure using AWS services.

Responsibilities:
  1. Infrastructure Management: Design, implement and maintain scalable cloud infrastructure using AWS services.
  2. System Documentation & Diagrams: Maintain up-to-date system diagrams, architecture documentation and operational procedures.
  3. Containerization & Orchestration: Deploy and manage containerized applications using Docker and Kubernetes.
  4. System Maintenance & Optimization: Ensure high availability, performance tuning and cost optimization of cloud and on-premise infrastructure.
  5. Monitoring & Observability: Implement detailed system monitoring, logging and alerting using tools like Datadog, Prometheus, Grafana, ELK stack or AWS CloudWatch.
  6. Security & Compliance: Enforce security best practices, conduct regular audits and ensure adherence to compliance standards.
  7. CI/CD Pipeline Management: Build and maintain automated deployment pipelines for seamless application releases.
  8. Incident Response & SLA Management: Define SLAs, monitor system performance and establish an efficient incident response strategy.
  9. Collaboration & Leadership: Work closely with development, QA and operations teams to improve reliability, scalability and efficiency.
Qualifications:
  • 7+ years of experience in DevOps, Site Reliability Engineering (SRE) or Cloud Infrastructure roles.
  • Expert knowledge of AWS Services (EC2, ECS, S3, RDS, Mongo Atlas, Lambda, VPC, ALB, Gateway, Cognito, WAF, IAM, Amplify CloudFormation etc).
  • Strong experience with Docker & Kubernetes for container orchestration and management.
  • Hands-on experience with infrastructure as code (IaC) tools like Terraform, CloudFormation or Pulumi.
  • Expertise in system monitoring and logging tools (Prometheus, Grafana, ELK Stack, Datadog, AWS CloudWatch).
  • Proficiency in scripting languages (Bash, Python or Go) for automation and infrastructure management.
  • Experience with CI/CD pipelines using Jenkins, AWS CodePipeline, GitHub Actions.
  • Knowledge of networking, security best practices and system performance tuning.
  • Experience with setting and enforcing SLAs for DevOps teams.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

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