Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems; Develops secure high-quality production code, and reviews and debugs code written by others; Develops cutting edge Artificial Intelligence (AI) and Machine Learning (ML) Platform solutions using Large Language Models (LLMs), public cloud, and modern standards and patterns; Implements and develops generative AI services leveraging Azure Open AI models and AWS Bedrock service; Builds solutions using AWS Cloud Services for compute, storage, databases, and security; Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Requirements:
Formal training or certification on software engineering concepts and 5+ years of applied experience; Hands-on practical experience delivering system design, application development, testing, and operational stability; Advanced experience in Python and distributed computing frameworks such as PySpark; Expertise working on AWS Cloud Based applications development using EC2, EKS, RDS Aurora MySQL & Postgres, DynamoDB, and Kinesis; Hands-on experience building AWS data pipelines using Lambda, SQS, SNS, Athena, Glue, EMR; Hands-on experience deploying and scaling ML and AI Models on Public cloud services
Text:
Lead Software Engineer - AWS/Machine Learning Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems; Develops secure high-quality production code, and reviews and debugs code written by others; Develops cutting edge Artificial Intelligence (AI) and Machine Learning (ML) Platform solutions using Large Language Models (LLMs), public cloud, and modern standards and patterns; Implements and develops generative AI services leveraging Azure Open AI models and AWS Bedrock service; Builds solutions using AWS Cloud Services for compute, storage, databases, and security; Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Formal training or certification on software engineering concepts and 5+ years of applied experience; Hands-on practical experience delivering system design, application development, testing, and operational stability; Advanced experience in Python and distributed computing frameworks such as PySpark; Expertise working on AWS Cloud Based applications development using EC2, EKS, RDS Aurora MySQL & Postgres, DynamoDB, and Kinesis; Hands-on experience building AWS data pipelines using Lambda, SQS, SNS, Athena, Glue, EMR; Hands-on experience deploying and scaling ML and AI Models on Public cloud services
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