Cloudelligent
Cloud Computing • SaaS • Fintech
Cloudelligent is a leading cloud solutions provider that specializes in leveraging AWS technologies to transform businesses through cloud migration, modernization, and optimization. Their expertise spans across various services including cloud security, data analytics, and DevOps, enabling organizations to innovate and enhance operational efficiencies. Committed to delivering high-performance architectures and robust cloud strategies, Cloudelligent supports clients in achieving their digital transformation goals while optimizing costs and ensuring compliance.
51 - 200 employees
Founded 2017
☁️ SaaS
💳 Fintech
AWS Solutions Architect – AI/ML
Job not on LinkedIn
November 18
Cloudelligent
Cloud Computing • SaaS • Fintech
Cloudelligent is a leading cloud solutions provider that specializes in leveraging AWS technologies to transform businesses through cloud migration, modernization, and optimization. Their expertise spans across various services including cloud security, data analytics, and DevOps, enabling organizations to innovate and enhance operational efficiencies. Committed to delivering high-performance architectures and robust cloud strategies, Cloudelligent supports clients in achieving their digital transformation goals while optimizing costs and ensuring compliance.
51 - 200 employees
Founded 2017
☁️ SaaS
💳 Fintech
📋 Description
• Architect cloud-native solutions and lead app modernization initiatives • Design and implement cloud solutions that integrate data engineering and AI/ML technologies • Lead technical presales discussions and collaborate with sales teams • Act as a trusted advisor guiding clients through design and implementation of cloud architecture • Define and implement cloud governance frameworks to ensure compliance with AWS security policies • Stay up to date with developments in cloud technologies, Generative AI, and machine learning
🎯 Requirements
• 8+ years of experience designing, building, and operating solutions on AWS • Strong expertise in cloud modernization, data engineering, and AI/ML architecture • Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI • Proven expertise in designing data pipelines, integrating data lakes, data warehouses, and other data solutions that support AI/ML • Experience migrating legacy applications to AWS, leveraging containers and serverless technologies • Proficiency with Terraform or CloudFormation for automating cloud deployments • Strong experience in pre-sales and customer-facing roles
🏖️ Benefits
• Health insurance • Flexible work arrangements • Professional development
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