GCP Cloud Engineer

Job Description

StratAspire Innovations is seeking a highly skilled and dynamic Lead Cloud Solutions Architect to spearhead our GCP (Google Cloud Platform) practice. This is a hands-on, technical leadership role where you will design, implement, and optimise cloud solutions, lead migration projects, provide pre-sales technical expertise, and mentor a growing team of cloud engineers. As a GCP Premier Partner specialising in generative AI, we are at the forefront of cloud innovation, and you will play a pivotal role in shaping our clients' cloud journeys and driving our technical excellence. We are a seeding stage startup, who is looking for solid techies to setup our tech for our Cloud and AI/block chain setups. We are hiring for following two roles: 1.Cloud Engineer (GCP Migration Specialist): 3 to 8 years Experience: 3+ years of hands-on experience with GCP , including expertise in migration planning and execution. Certifications: Google Cloud Professional Cloud Architect or equivalent certifications highly desired. Technical Skills: Strong understanding of GCP core services (Compute Engine, Cloud Storage, Networking, etc.) Expertise in migration tools and strategies (Cloud Foundation Toolkit, Velostrata, etc.) Proficiency in infrastructure as code (IaC) tools (Terraform, Cloud Deployment Manager) Experience with containerization and orchestration (Docker, Kubernetes) Familiarity with DevOps practices and CI/CD pipelines 2. Lead Cloud Solutions Architect: 6 to 12 years Experience: 5+ years of hands-on experience with GCP, demonstrating expertise in cloud architecture, migration, infrastructure design, and team leadership. Certifications: Google Cloud Professional Cloud Architect or equivalent certification is mandatory. Additional GCP certifications in areas like data engineering, machine learning, or security are highly valued. Technical Skills: Deep understanding of GCP core services , best practices, and architectural patterns. Mastery of migration tools and methodologies. Strong proficiency in infrastructure as code (IaC), automation tools (Terraform, Cloud Deployment Manager), containerization, and orchestration. Experience with generative AI and machine learning technologies on GCP is a plus.