Cloud Infra Lead

Responsibilities:

• Design, architect, and implement scalable, highly available, and secure infrastructure solutions, primarily on Google Cloud Platform (GCP) and/or Amazon Web Services (AWS).
• Develop and maintain Infrastructure as Code (IaC) using Terraform for enterprise-scale deployments.
• Utilize Kubernetes deployment tools such as Helm/Kustomize for container orchestration and management.
• Design and implement CI/CD pipelines using platforms like GitHub, GitLab, Bitbucket, Cloud Build, Harness, etc., with a focus on rolling deployments, canaries, and blue/green deployments.
• Ensure auditability and observability of pipeline states.
• Implement security best practices, audit, and compliance requirements within the infrastructure.
• Provide technical leadership, mentorship, and training to engineering staff.
• Engage with clients to understand their technical and business requirements, and provide tailored solutions.
• If needed, lead agile ceremonies and project planning, including developing agile boards and backlogs.
• Troubleshoot and resolve complex infrastructure issues.
• Potentially participate in pre-sales activities and provide technical expertise to sales teams.
• 
  

Qualifications:

• 10+ years of experience in an Infrastructure Engineer or similar role.
• Extensive experience with Google Cloud Platform (GCP) and/or Amazon Web Services (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.

Education:

• Bachelor's degree in Computer Science, a related field, or equivalent experience.