Innodeed Systems
We are looking for a skilled Cloud Developer with expertise in AWS, Azure, or GCP to design, deploy, and manage AI-powered cloud solutions. The ideal candidate will have a strong background in cloud computing, DevOps, and AI-driven automation.
Key Responsibilities
Design, develop, and implement cloud-based AI solutions using AWS, Azure, or GCP Deploy, manage, and optimize AI/ML models in cloud environments Develop serverless applications and microservices architectures Automate cloud infrastructure using Infrastructure-as-Code (Terraform, CloudFormation, ARM templates) Ensure the security, scalability, and performance of cloud-based applications Collaborate with AI engineers, DevOps teams, and software developers Monitor, troubleshoot, and optimize cloud deployments for AI applications Stay updated with the latest cloud and AI technologies and best practices Required Skills & Qualifications
Bachelor\'s or Master’s degree in Computer Science, Engineering, or a related field 3+ years of experience in cloud development (AWS, Azure, or GCP) Proficiency in cloud services like EC2, S3, Lambda, Kubernetes, AKS, GKE, etc. Experience with AI/ML model deployment in cloud environments Strong programming skills in Python, Java, Node.js, or Go Hands-on experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines) Knowledge of cloud security, IAM, and networking principles Experience with databases (SQL, NoSQL, BigQuery, DynamoDB, CosmosDB) Strong problem-solving skills and ability to work in a fast-paced environment Certification in AWS (AWS Certified Solutions Architect), Azure (Azure Solutions Architect), or GCP (Google Professional Cloud Architect) Experience in MLOps and AI model optimization Knowledge of cloud-based data engineering tools (Databricks, Snowflake, Redshift) Experience with AI-driven automation and cloud cost optimization Experience working with AI/ML-powered cloud services like AWS SageMaker, Azure ML, or GCP AI Platform Knowledge of big data processing frameworks (Apache Spark, Kafka, Dataflow, Databricks) Cloud certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Professional Cloud Architect
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Design, develop, and implement cloud-based AI solutions using AWS, Azure, or GCP Deploy, manage, and optimize AI/ML models in cloud environments Develop serverless applications and microservices architectures Automate cloud infrastructure using Infrastructure-as-Code (Terraform, CloudFormation, ARM templates) Ensure the security, scalability, and performance of cloud-based applications Collaborate with AI engineers, DevOps teams, and software developers Monitor, troubleshoot, and optimize cloud deployments for AI applications Stay updated with the latest cloud and AI technologies and best practices Required Skills & Qualifications
Bachelor\'s or Master’s degree in Computer Science, Engineering, or a related field 3+ years of experience in cloud development (AWS, Azure, or GCP) Proficiency in cloud services like EC2, S3, Lambda, Kubernetes, AKS, GKE, etc. Experience with AI/ML model deployment in cloud environments Strong programming skills in Python, Java, Node.js, or Go Hands-on experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines) Knowledge of cloud security, IAM, and networking principles Experience with databases (SQL, NoSQL, BigQuery, DynamoDB, CosmosDB) Strong problem-solving skills and ability to work in a fast-paced environment Certification in AWS (AWS Certified Solutions Architect), Azure (Azure Solutions Architect), or GCP (Google Professional Cloud Architect) Experience in MLOps and AI model optimization Knowledge of cloud-based data engineering tools (Databricks, Snowflake, Redshift) Experience with AI-driven automation and cloud cost optimization Experience working with AI/ML-powered cloud services like AWS SageMaker, Azure ML, or GCP AI Platform Knowledge of big data processing frameworks (Apache Spark, Kafka, Dataflow, Databricks) Cloud certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Professional Cloud Architect
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