> Markdown version of [/jobs/ext/1757784-senior-devops-engineer-aws-kubernetes-ruby-on-rails-eu-remote](https://www.wearedevelopers.com/jobs/ext/1757784-senior-devops-engineer-aws-kubernetes-ruby-on-rails-eu-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Senior DevOps Engineer - AWS/Kubernetes/Ruby on Rails - EU Remote

- **Company:** Joseph Scanlon, LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, System Configuration, Software Debugging, DevOps, Memory Management, Ruby on Rails, Reliability Engineering, Ruby, Software Engineering, Data Logging, Bundler, Large Language Models, Reliability of Systems, Cloudformation, Kubernetes, Infrastructure Automation Frameworks, Terraform, Api Management, Docker
- **Published:** July 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ca7abd6d8e0217f8

## About the Role

Must Have

 * 4+ years of hands-on experience in DevOps or Site Reliability Engineering (SRE) roles.
 * Deep proficiency with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
 * Strong expertise with Docker and container orchestration platforms (Kubernetes, ECS, or equivalent).
 * Proven experience configuring, deploying, and troubleshooting applications built in Ruby (understanding of Bundler, Puma/Passenger, and memory management).

Nice to Have

 * A strong understanding of modern software engineering principles.
 * Practical experience supporting AI/ML features (e.g., working with vector databases like Pinecone/Milvus/pgvector, managing API integrations with major LLM providers, or handling local model deployments and GPU scaling).

## Description

* Design, build, and maintain scalable, secure, and highly available cloud infrastructure (AWS/GCP).
 * Work hand-in-hand with the R&D team to streamline CI/CD pipelines, reduce build times, and make deploying code seamless.
 * Collaborate with the development team to debug performance bottlenecks, optimize Ruby/Rails environment configurations, and improve overall system reliability.
 * Partner with developers to build, monitor, and optimize the infrastructure required to run, fine-tune, and query emerging AI capabilities.
 * Implement and manage robust logging, alerting, and monitoring tools to ensure high uptime and quick incident response.


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