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# Cloud Engineer

- **Company:** Gotham Technology
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Engineering, Amazon DynamoDB, Github, Python (Programming Language), Node.Js, Microsoft Copilot, Systems Integration, AI Coding Agents, Cloudformation, Api Gateway, Software Coding, Restful APIs, Terraform, GPT, Serverless Computing
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/93214b56-1ec1-42cf-a99c-bf58ae97805f

## About the Role

* Strong hands-on AWS experience, especially Lambda
 * A solid programming background in Python, Node.js, Java, or similar
 * Experience building or supporting REST APIs and integrations
 * Some familiarity with infrastructure as code (Terraform, CloudFormation, SAM, CDK, any of them)
 * Real troubleshooting instincts. When something breaks, you're the one who figures out why
 * Genuine skill with AI tools like Copilot or ChatGPT, and you know how to prompt them well

Nice to have

 * AWS SAM, CloudFormation, and GitHub Actions (you can learn these on the job if you're a strong engineer)
 * Containers or ECS
 * API Gateway, DynamoDB, or RDS

## Description

Want to build things instead of babysitting servers? Our client, an established enterprise organization, is growing its cloud engineering group as it takes on API and integration work tied to a new AI initiative. They're looking for a hands-on AWS engineer who likes writing code, solving real problems, and working on a small team where your work actually gets noticed.

This is an engineering role, not a systems administration role. You'll build and support serverless applications and APIs on AWS, mostly with Lambda, and work closely with application and integration teams to get solutions into production and keep them running.

What you'll do

 * Build and support APIs and serverless applications on AWS, with a heavy focus on Lambda
 * Write Python, Node.js, or Java to automate and extend the cloud environment
 * Work with infrastructure as code and CI/CD pipelines to deploy repeatable, reliable solutions
 * Troubleshoot issues across both the application and the AWS infrastructure underneath it
 * Use AI coding tools every day to work smarter (you'll get unlimited access)