Cloud Infrastructure Expert

4 days ago

Delhi, Delhi, India beBeeCloud Full time ₹ 30,00,000 - ₹ 50,00,000

Empowering Innovation in Cloud Infrastructure

As a Senior Cloud Engineer, you will play a crucial role in managing and securing our cloud infrastructure. This involves designing, building, and managing scalable and high-performance environments using industry-leading tools and technologies.

Key Responsibilities:

  • Design and implement cloud architecture using Terraform, CloudFormation, and IaC pipelines.
  • Manage compute, networking, load balancing, identity, and scaling for enterprise-grade workloads.
  • Deploy and manage virtualized services to ensure uptime, high availability, and reliability.
  • Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI.
  • Support serverless, containerized (Docker, Kubernetes, EKS/ECS), and event-driven platforms.
  • Automate environment provisioning, application deployments, monitoring, and alerts.
  • Manage and streamline incident, problem, and change workflows using tools like ServiceNow, Azure DevOps, or Jira Service Management.
  • Lead incident response and root cause analysis (RCA); define preventive measures and SLAs to maintain system reliability.

Requirements:

  • 5+ years of experience managing cloud-based infrastructure and enterprise IT environments.
  • Strong skills in automation, scripting, and CI/CD pipelines.
  • Hands-on experience with ITSM tools and AI-powered service delivery enhancements.
  • Working knowledge of regulatory compliance frameworks (SOC2, GDPR, ISO 27001, DORA).
  • Demonstrated ability in incident response, RCA, and preventive measures.
  • Strong analytical and diagnostic abilities to troubleshoot complex cloud issues.
  • Excellent cross-functional communication and collaboration skills.
  • Bachelor's degree in computer science, engineering, or a related field.

Nice to Have:

  • Certifications: AWS Certified Solutions Architect / DevOps Engineer / Security Specialist.
  • Exposure to self-healing architectures, anomaly detection, or AI-based automation agents.
  • Experience integrating observability with ITSM workflows for automated post-incident insights.
  • Familiarity with edge computing, serverless frameworks, and VPC/networking optimization.

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