AWS GCP Architect

As an AWS GCP Architect, you will lead the design, deployment and optimization of scalable, secure and highly available cloud solutions across AWS and Google Cloud Platform. You will provide technical leadership to a team of junior engineers, drive DevOps and AI/ML integration, and coordinate closely with clients and vendors. This is a hybrid role based in Navi Mumbai.

Our client is a leading global professional services and accounting-finance organization serving enterprises across multiple markets. They are known for a strong commitment to innovation, quality and client-centric delivery. The organization is investing heavily in modern, cloud-native technology to power its digital transformation.

Responsibilities

• Lead the design and implementation of cloud infrastructure on AWS and Google Cloud Platform, covering compute, storage, networking and AI/ML services
• Architect scalable, resilient and secure cloud solutions aligned with business requirements
• Drive automation and CI/CD pipelines using Kubernetes, Jenkins, Docker, Git, Prometheus and Grafana
• Collaborate with data scientists, software engineers and product owners to integrate AI/ML capabilities
• Monitor, troubleshoot and optimize infrastructure performance and security
• Define and enforce cloud governance, cost management and operational standards
• Provide technical leadership and mentorship, leading code reviews, design discussions and technology evaluations
• Manage client and vendor coordination

Requirements

• 12-15 years of overall IT experience, including 6-8 years in cloud architecture and implementation
• Expertise in AWS and GCP services including EC2, Lambda, GCE, Cloud Functions, S3, Cloud Storage, BigQuery, VPC and load balancers
• Hands-on experience with Kubernetes, Docker, Jenkins, Git, Prometheus and Grafana
• Proficiency in scripting and automation with Python, Bash or similar, and infrastructure as code with Terraform or CloudFormation
• Experience with AI/ML services such as SageMaker, Google AI Platform, TensorFlow and AutoML
• Experience with microservices architecture, networking concepts and security best practices
• Proven track record of leading and mentoring technical teams in Agile environments
• Bachelor's degree in Computer Science, Engineering or a related field

Skills

AWS, Google Cloud Platform (GCP), Kubernetes, Docker, Jenkins, Git, Prometheus, Grafana, Python, Bash, Terraform, CloudFormation, SageMaker, Google AI Platform, TensorFlow, AutoML, BigQuery, Microservices architecture, AWS Certified Solutions Architect, Google Professional Cloud Architect, Certified Kubernetes Administrator (CKA), ISO, SOC 2, GDPR