Cloud Engineer
  • Biogensys
11 Hours Ago
70-75 per Hourly
W2
Raleigh-NC
3-10 Years
Required Skills: Amazon DynamoDB, Amazon Web Services, Amazon SageMaker, API, Amazon RDS, Agile, Analytical Skills, Backend Development, Conflict Resolution, Database Management, Cloud Computing, Amazon CloudFront, Programming Languages, Node.js, Infrastructure as a Service, IaaS, Recruiting, Performance Tuning, Kanban, Communication, AWS Lambda, Workflow Management, Remote Desktop Services, Generative Artificial Intelligence, Microsoft Azure, Scrum, Amazon S3, Python, Cloud Security, Management, Problem-Solving, SAFe, SQL
Job Description

We are seeking a Mid-Level Cloud Engineer to design, develop, and deploy scalable cloud-native and serverless applications across AWS and Azure. The role focuses on backend development, generative AI integration, cloud databases, and secure cloud infrastructure.

Key Responsibilities

  • Develop and deploy serverless applications using AWS Lambda.
  • Design and manage hybrid cloud architectures across AWS and Azure.
  • Integrate generative AI models using Amazon Bedrock or SageMaker.
  • Manage AWS RDS, DynamoDB, and S3 services.
  • Implement customer communication workflows using Amazon Connect.
  • Configure CloudFront for content delivery and performance optimization.
  • Manage cloud security, IAM roles, API Gateway, keys, and secrets.
  • Follow infrastructure-as-code practices and Agile development methodologies.

Required Skills

  • Hands-on experience with AWS cloud development; Azure knowledge is a plus.
  • Strong experience with AWS Lambda, RDS, S3, and DynamoDB.
  • Knowledge of Amazon Bedrock or SageMaker for generative AI integration.
  • Experience with Amazon Connect and CloudFront.
  • Understanding of IAM and Azure AD/Entra ID.
  • Proficiency in Python, Node.js, SQL, or other backend programming languages.
  • Knowledge of infrastructure-as-code and Agile methodologies (Scrum/Kanban/SAFe).
  • Strong analytical, organizational, and problem-solving skills.

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