Senior Cloud Application Developer

Lingatech Inc.

  • Raleigh, NC
  • 1 day ago

    Highlights

    This role focuses on backend development, generative AI/ML integration, cloud-native architecture, and the implementation of serverless applications, cloud databases, intelligent communication workflows, and content delivery systems. The Senior Cloud Application Developer will design, develop, and deploy robust, scalable cloud applications and serverless solutions across AWS and Azure environments.

    Numbers & Facts

    LocationRaleigh, NC

    Description

    Role Type: Hybrid

    Job Overview

    The Senior Cloud Application Developer will design, develop, and deploy robust, scalable cloud applications and serverless solutions across AWS and Azure environments. This role focuses on backend development, generative AI/ML integration, cloud-native architecture, and the implementation of serverless applications, cloud databases, intelligent communication workflows, and content delivery systems.

    Job Duties

    • Build, develop, and deploy serverless applications and functions using AWS Lambda.

    • Design and implement hybrid cloud architectures that integrate AWS and Azure services.

    • Integrate generative AI foundation models using Amazon Bedrock and/or SageMaker.

    • Design, manage, and optimize cloud database solutions, including Amazon RDS and DynamoDB.

    • Develop and implement intelligent customer communication workflows using Amazon Connect.

    • Configure and manage Amazon S3 storage solutions and optimize global content delivery through CloudFront.

    • Implement and maintain cloud security configurations, including IAM roles, access keys, secrets management, and API gateways.

    • Develop scalable backend services and cloud-native application components to support enterprise solutions.

    Required Skills & Qualifications

    • 4 years of hands-on cloud development experience (AWS preferred; Azure beneficial).

    • 4 years of experience with AWS Lambda, RDS, S3, DynamoDB, and infrastructure-as-code patterns.

    • 4 years of experience implementing generative AI models through Amazon Bedrock or SageMaker.

    • 3 years of experience with Amazon Connect and CloudFront configurations.

    • 3 years of experience with cloud identity management, including IAM and Azure AD/Entra ID.

    • 6 years of proficiency in Python, Node.js, SQL, or other scalable backend programming languages.

    • 7 years of demonstrated ability to organize, prioritize, and follow complex and/or detailed technical procedures.

    • 3 years of experience with Agile development methodologies, including Scrum, Kanban, or SAFe.

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