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# AWS DevOps Engineer

- **Company:** Lightning Minds Inc.
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cloud Computing, Continuous Integration, DevOps, Github, Identity and Access Management, Python (Programming Language), Cloud Services, Shell Script, Data Logging, Cloud Platform System, Apigee, Gitlab, Cloudformation, Amazon Relational Database Service, Containerization, Kubernetes, Infrastructure Automation Frameworks, Functional Programming, Cloudwatch, Api Gateway, Restful APIs, Terraform, Api Management, Docker, Jenkins, Microservices
- **Published:** September 3, 2026
- **Apply:** https://www.dice.com/job-detail/ffbaff3d-1a63-42b1-8012-9b1ed72deab4

## About the Role

* Strong handson experience with AWS services (Lambda, EC2, S3, RDS, IAM, CloudWatch).
 * Expertise in APIGEE or AWS API Gateway configuration and management.
 * Proficiency in CI/CD tools (GitHub, Jenkins, GitLab).
 * Experience with Infrastructure as Code (Terraform, CloudFormation).
 * Knowledge of Docker & Kubernetes for container orchestration.
 * Solid understanding of monitoring, logging, and troubleshooting in cloud environments.

Preferred Skills:

 * Python or Shell scripting for automation.
 * Exposure to microservices architecture and REST API design.

## Description

Job Description: We are seeking a skilled DevOps Engineer with strong expertise in AWS cloud services and API management (APIGEE or AWS API Gateway). The ideal candidate will design, implement, and optimize cloudbased solutions, ensuring secure, scalable, and highperformance deployments., * Build and manage CI/CD pipelines for cloud applications.

 * Configure and maintain API Gateway / APIGEE for secure API management.
 * Automate infrastructure using Terraform, CloudFormation, or similar tools.
 * Monitor and troubleshoot cloud workloads with CloudWatch and logging tools.
 * Collaborate with development teams to deploy microservices and containerized workloads (Docker/Kubernetes).
 * Ensure compliance with IAM roles, policies, and security best practices.


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