Cloud Architect

Key Responsibilities: · Lead the design and implementation of cloud infrastructure on AWS and Google Cloud Platform with a focus on compute, storage, networking, and AI/ML services. · Architect and implement scalable, resilient, and secure cloud solutions aligned with business requirements. · Provide technical leadership and mentorship to engineers, ensuring best practices in architecture, development, and deployment. · Drive automation and CI/CD pipelines using DevOps tools such as Kubernetes, Jenkins, Docker, Git, Prometheus, and Grafana. · Collaborate with cross-functional teams including data scientists, software engineers, and product owners to incorporate AI/ML capabilities into cloud solutions. · Monitor, troubleshoot, and optimize cloud infrastructure performance and security. · Define and enforce cloud governance, cost management, and operational standards. · Lead code reviews, design discussions, and technology evaluations. · Stay current with emerging cloud technologies, identify opportunities for innovation, and provide strategic recommendations. · Team management and co-ordination with Client , vendor management. --- Required Skills & Experience: · 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 but not limited to: o Compute: EC2, Lambda, GCE, Google Cloud Functions o Storage: S3, EBS, Google Cloud Storage, Cloud SQL, BigQuery o Networking: VPC, Subnets, Load Balancers, Cloud CDN, VPN, Firewall rules o AI/ML: SageMaker, Google AI Platform, TensorFlow integration, AutoML · Strong hands-on experience with container orchestration and DevOps tools: o Kubernetes, Docker, Jenkins, Git, Prometheus, Grafana · Proficient in scripting and automation using Python, Bash, or similar languages. · Solid understanding of CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), 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: · Relevant certifications such as AWS Certified Solutions Architect, Google Professional Cloud Architect, Certified Kubernetes Administrator (CKA) would be added advantage and will be preferred . · Background in machine learning model deployment and monitoring on cloud platforms. · Experience with security frameworks and compliance standards (e.g., ISO, SOC2, GDPR). --- What We Offer: · Opportunity to work on cutting-edge cloud and AI/ML technologies. · Collaborative environment with talented technologists. · Competitive compensation and benefits package. · Opportunities for professional growth and certifications.

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