Cloud Infrastructure Lead/Architect Needed

Cloud Infrastructure Lead/Architect Job Summary: We are seeking a highly skilled and experienced Lead Infrastructure Engineer to join our dynamic team. The ideal candidate will be passionate about building and maintaining complex systems, with a holistic approach to architecture. You will play a key role in designing, implementing, and managing cloud infrastructure, ensuring scalability, availability, security, and optimal performance. You will also provide technical leadership and mentorship to other engineers, and engage with clients to understand their needs and deliver effective solutions. Responsibilities: o Design, architect, and implement scalable, highly available, and secure infrastructure solutions, primarily on Google Cloud Platform (GCP) and/or Amazon Web Services (AWS). o Develop and maintain Infrastructure as Code (IaC) using Terraform for enterprise-scale deployments. o Utilize Kubernetes deployment tools such as Helm/Kustomize for container orchestration and management. o 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. o Ensure auditability and observability of pipeline states. o Implement security best practices, audit, and compliance requirements within the infrastructure. o Provide technical leadership, mentorship, and training to engineering staff. o Engage with clients to understand their technical and business requirements, and provide tailored solutions. o If needed, lead agile ceremonies and project planning, including developing agile boards and backlogs. o Troubleshoot and resolve complex infrastructure issues. o Potentially participate in pre-sales activities and provide technical expertise to sales teams. Qualifications: o 10+ years of experience in an Infrastructure Engineer or similar role. o Extensive experience with Google Cloud Platform (GCP) and/or Amazon Web Services (AWS).


Certifications: ( Any one Certification)
● 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.