Cloud Architect(AWS/GCP)

As a Cloud Architect with 12-15 years of experience, you will be responsible for leading the cloud engineering team focusing on AWS and GCP platforms. Your main responsibilities will include: - Leading the design and implementation of cloud infrastructure on AWS and Google Cloud Platform with a focus on compute, storage, networking, and AI/ML services. - Architecting and implementing scalable, resilient, and secure cloud solutions aligned with business requirements. - Providing technical leadership and mentorship to engineers, ensuring best practices in architecture, development, and deployment. - Driving automation and CI/CD pipelines using DevOps tools such as Kubernetes, Jenkins, Docker, Git, Prometheus, and Grafana. - Collaborating with cross-functional teams to incorporate AI/ML capabilities into cloud solutions. - Monitoring, troubleshooting, and optimizing cloud infrastructure performance and security. - Defining and enforcing cloud governance, cost management, and operational standards. - Leading code reviews, design discussions, and technology evaluations. - Identifying opportunities for innovation and providing strategic recommendations. - Managing a team of 4-5 junior engineers and coordinating with clients and vendors. Your qualifications should include: - 12-15 years of overall IT experience with at least 6-8 years in cloud architecture and implementation. - Expertise in AWS and GCP services including compute, storage, networking, and AI/ML. - Strong hands-on experience with container orchestration and DevOps tools. - Proficiency in scripting and automation using Python, Bash, or similar languages. - Solid understanding of CI/CD pipelines, infrastructure as code, and monitoring tools. - Experience in microservices architecture, networking concepts, and security best practices. - Proven track record of leading and mentoring technical teams in an Agile environment. - Excellent communication, problem-solving, team management, and stakeholder management skills. Preferred qualifications include relevant certifications and experience with machine learning model deployment, security frameworks, and compliance standards. In addition to the exciting technical challenges, you will have the opportunity to work on cutting-edge cloud and AI/ML technologies in a collaborative environment with talented technologists. Competitive compensation, benefits, opportunities for professional growth, and certifications are also part of the package.,