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5.0 - 9.0 years

0 Lacs

hyderabad, telangana

On-site

As a skilled Cloud Cost & Performance Optimization Solution Architect with expertise in AWS and Azure, you will be responsible for leading initiatives to optimize cloud infrastructure costs and enhance application performance for clients. Your role will involve designing and implementing cost-effective cloud architectures that prioritize efficiency, cost-effectiveness, and scalability. Your key responsibilities will include leading cloud cost optimization assessments, designing and implementing cost-effective cloud architectures, identifying performance bottlenecks, developing automated monitoring and governance frameworks, collaborating with cross-functional teams, advising on cost-saving mechanisms, implementing multi-cloud strategies, providing technical leadership for migrations and transformations, and creating detailed reports and presentations for stakeholders. To qualify for this role, you should have a Bachelor's degree in Computer Science or related field, 5+ years of experience as a Cloud Solution Architect, expertise in AWS and Microsoft Azure, knowledge of cloud pricing models and management tools, hands-on experience with cloud performance tuning and monitoring tools, familiarity with infrastructure-as-code tools, understanding of networking, security, and compliance in cloud environments, excellent communication skills, and relevant cloud certifications. Preferred skills for this role include knowledge of Google Cloud Platform, experience with containerization and serverless architectures, familiarity with FinOps practices, strong analytical and problem-solving skills, and attention to detail. In return, we offer a competitive salary and benefits package, opportunities to work with cutting-edge cloud technologies, a collaborative and innovative work environment, and support for professional growth and certifications.,

Posted 2 weeks ago

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2.0 - 5.0 years

0 - 0 Lacs

Nagpur

Remote

Key Responsibilities: Provision and manage GPU-based EC2 instances for training and inference workloads. Configure and maintain EBS volumes and Amazon S3 buckets (versioning, lifecycle policies, multipart uploads) to handle large video and image datasets . Build, containerize, and deploy ML workloads using Docker and push images to ECR . Manage container deployment using Lambda , ECS , or AWS Batch for video inference jobs. Monitor and optimize cloud infrastructure using CloudWatch, Auto Scaling Groups , and Spot Instances to ensure cost efficiency. Set up and enforce IAM roles and permissions for secure access control across services. Collaborate with the AI/ML, annotation, and backend teams to streamline cloud-to-model pipelines. Automate cloud workflows and deployment pipelines using GitHub Actions , Jenkins , or similar CI/CD tools. Maintain logs, alerts, and system metrics for performance tuning and auditing. Required Skills: Cloud & Infrastructure: AWS Services : EC2 (GPU), S3, EBS, ECR, Lambda, Batch, CloudWatch, IAM Data Management : Large file transfer, S3 Multipart Uploads, storage lifecycle configuration, archive policies (Glacier/IA) Security & Access : IAM Policies, Roles, Access Keys, VPC (preferred) DevOps & Automation: Tools : Docker, GitHub Actions, Jenkins, Terraform (bonus) Scripting : Python, Shell scripting for automation & monitoring CI/CD : Experience in building and managing pipelines for model and API deployments ML/AI Environment Understanding: Familiarity with GPU-based ML workloads Knowledge of model training, inference architecture (batch and real-time) Experience with containerized ML model execution is a plus Preferred Qualifications: 2-5 years of experience in DevOps or Cloud Infrastructure roles AWS Associate/Professional Certification (DevOps/Architect) is a plus Experience in managing data-heavy pipelines , such as drones, surveillance, or video AI systems

Posted 1 month ago

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