Chief Cloud Architect

1 week ago


Bellary, Karnataka, India beBeeInfrastructure Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Cloud Infrastructure Architect/Lead

Our team is seeking an experienced Cloud Infrastructure Architect/Lead to lead the design, implementation, and maintenance of cloud-based infrastructure solutions. The ideal candidate will have a strong background in Google Cloud Platform (GCP) and/or Amazon Web Services (AWS).

  • Responsibilities:
  • Design, implement, and maintain cloud-based infrastructure solutions using GCP or AWS.
  • Collaborate with cross-functional teams to ensure seamless integration of cloud infrastructure with other systems.
  • Develop and enforce cloud security best practices to protect sensitive data.
  • Ensure compliance with relevant regulatory requirements.

Qualifications:

  • Education:
  • Bachelor's degree in Computer Science, a related field, or equivalent experience.
  • Skills and Experience:
  • 10+ years of experience in an Infrastructure Engineer or similar role.
  • Extensive experience with GCP and/or AWS.
  • Proven ability to architect for scale, availability, and high-performance workloads.
  • Deep knowledge of Infrastructure as Code (IaC) with Terraform.
  • Strong experience with Kubernetes and related tools (Helm, Kustomize).
  • Solid understanding of CI/CD pipelines and deployment strategies.
  • Experience with security, audit, and compliance best practices.
  • Excellent problem-solving and analytical skills.
  • Strong communication and interpersonal skills, with the ability to engage with both technical and non-technical stakeholders.
  • Experience in technical leadership and mentoring.
  • Experience with client relationship management and project planning.

Certifications:

  • Relevant certifications (e.g., Kubernetes Certified Administrator, Google Cloud Certified Professional Cloud Architect, Google Cloud Networking Certifications, Google Cloud Security Certifications, etc.).
  • Software development experience (e.g., Terraform, Python).
  • Experience with machine learning infrastructure.

About Us:

We are committed to providing a collaborative and dynamic work environment that fosters innovation, creativity, and growth.


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