Expert Cloud Systems Architect

5 days ago

Tiruchi, Tamil Nadu, India beBeeCloud Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title:

A Cloud Visionary Architect is needed to design and implement scalable cloud architectures.

  • Key Responsibilities:
  • Design cloud solutions that meet business needs and ensure scalability, resilience, and cost-effectiveness.
  • Lead Infrastructure-as-Code initiatives with Terraform, CloudFormation, and ARM templates.
  • Architect containerized environments with Docker and Kubernetes at enterprise scale.
  • Build secure cloud networking solutions, including VPCs, load balancers, firewalls, and segmentation.
  • Drive DevOps best practices, including CI/CD pipelines and automated deployment strategies.
  • Establish and maintain cloud security frameworks aligned with industry standards.
  • Optimize cloud spend through resource management and automation tools.
  • Design data lake architectures to support AI/ML workloads.
  • Develop monitoring, logging, and observability frameworks with Prometheus, Grafana, and ELK stack.
  • Partner with engineering teams to define technical requirements and guide architectural decisions.
  • Lead disaster recovery and business continuity planning for mission-critical systems.
  • Stay ahead of emerging cloud technologies and assess their business impact.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related technical field.
  • 8+ years of experience in cloud architecture, design, and implementation.
  • Deep expertise in one or more cloud platforms (AWS, Azure, GCP).
  • Proven track record designing scalable, resilient, and highly available solutions.
  • Strong knowledge of cloud networking.
  • Hands-on experience with IaC tools (Terraform, CloudFormation, ARM).
  • Proficiency in containerization (Docker), orchestration (Kubernetes), and serverless technologies.
  • Solid background in DevOps practices and cloud cost optimization.
  • Knowledge of cloud security & compliance standards.
  • Experience with data lakes and big data technologies in the cloud.
  • Familiarity with monitoring and logging tools.
  • Excellent communication and collaboration skills.

Preferred Qualifications:

  • Master's degree in Computer Science, Engineering, or related field.
  • Multiple cloud certifications.
  • Experience with AI/ML infrastructure and MLOps pipelines.
  • Advanced knowledge of microservices architecture and service mesh.
  • Experience with multi-cloud and hybrid cloud architectures and enterprise migrations.
  • Knowledge of advanced security practices.
  • Experience leading technical teams, mentoring engineers, and managing cloud projects.
  • Exposure to chaos engineering, edge computing, and CDN architectures.
  • Previous experience in a startup or high-growth technology company.

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