Senior AWS/Azure Cloud Engineer & AI/ML Dev

Intellibee; Raleigh (NC); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Long-Term Stability

Comprehensive Health Coverage

401(k) Enrollment

Green Card assistance

Job summary

IntelliBee in Raleigh, NC seeks a Senior CloudApplication Developer to build robust, scalable cloud-native and serverless systems across AWS and Azure. You will focus on backend development, AI/ML integration, and deploying cloud components including Lambda, databases, and content delivery.

The role requires hands-on cloud experience, strong Python/Node.js/SQL skills, and a proven track record with GenAI models. Collaboration across teams and adherence to Agile practices are essential.

Qualifications

• 4+ years of cloud development experience on AWS; Azure optional.
• Experience with AWS Lambda, RDS, S3, DynamoDB, and IaC patterns.
• Experience implementing GenAI models via Bedrock or SageMaker.
• Experience with Amazon Connect and CloudFront configurations.
• Strong IAM/identity management knowledge.
• Proficient in Python, Node.js, SQL, or similar backend languages.
• Experience with Agile (Scrum/Kanban/SAFe).
• Ability to manage complex technical procedures.

Responsibilities

• Build and deploy serverless applications using AWS Lambda.
• Design hybrid cloud architectures integrating AWS and Azure services.
• Integrate generative AI foundation models using Bedrock or SageMaker.
• Manage cloud databases such as RDS and DynamoDB.
• Implement smart customer communication workflows via Amazon Connect.
• Configure S3 and optimize global content delivery using CloudFront.
• Manage cloud security, IAM roles, keys, secrets, and API gateways.

Skills

Cloud development

AWS Lambda

RDS/DynamoDB

Bedrock/SageMaker

Amazon Connect

CloudFront

IAM management

Python/Node.js/SQL

Agile methodologies

Job description

IntelliBee in Raleigh, NC seeks a Senior CloudApplication Developer to build robust, scalable cloud-native and serverless systems across AWS and Azure. You will focus on backend development, AI/ML integration, and deploying cloud components including Lambda, databases, and content delivery.

The role requires hands-on cloud experience, strong Python/Node.js/SQL skills, and a proven track record with GenAI models. Collaboration across teams and adherence to Agile practices are essential.