Design and deploy complex, multi-tier applications on GCP, ensuring scalability, reliability, and cost-efficiency.
Manage and optimize workloads using GCP services like Compute Engine, Kubernetes Engine, BigQuery, Cloud Functions, and Cloud Run.
Independently review client infrastructure, conduct cost optimization audits and well-architected reviews to identify cost in-efficiencies like underutilized resources, architectural pitfalls, pricing options.
Provide technical leadership and mentorship to junior team members, fostering their growth and development.
Conduct regular knowledge-sharing sessions and guide team members on GCP best practices, tools, and techniques.
Explore and perform POCs for new GCP services and features, integrating them to enhance performance and cost savings.
Handle customer queries and client interactions, providing technical expertise and ensuring satisfaction with delivered solutions.
Requirements
B.Tech/B.E/MCA in Computer Science, Information Technology, or a related field.
Minimum 4+ years of hands-on experience with cloud infrastructure, with at least 2+ years dedicated to GCP.
In-depth knowledge of GCP services, including Compute Engine, Kubernetes Engine, Cloud Run, IAM, BigQuery, and Networking.
Analytical mindset with a focus on identifying and solving inefficiencies in infrastructure.
Any GCP certification (good to have), such as:
Google Associate Cloud Engineer
Google Professional Cloud Architect
Google Professional DevOps Engineer
