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# Senior Cloud & DevOps Engineer

- **Company:** LLC-I, L.L.C.
- **Location:** Houston, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $180,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, C++ (Programming Language), Configuration Management, Static Program Analysis, Code Review, Computer Programming, Continuous Integration, Data Stores, Linux, DevOps, Github, Python (Programming Language), Team Foundation Server, MongoDB, Ansible, Azure Machine Learning, Software Engineering, TypeScript, Virtual Studio, Web Applications, Software Licensing, Pulumi, Google Cloud, Test-Driven Development (TDD), Google Vertex AI, Git, Kubernetes, Puppet, Terraform, Software Version Control, Docker, Jenkins
- **Published:** October 16, 2026
- **Apply:** https://www.thejobnetwork.com/job/9675614d-981a-47c7-aa01-fc535ec899fd/senior-cloud-devops-engineer

## About the Role

* 10+ years of professional software engineering, with substantial hands-on ownership of build, release, and deployment of production software.

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 * Experience developing and deploying a web-based or ML application on at least one major cloud (AWS, Azure, or Google Cloud) - ideally more than one.

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 * Production experience with Kubernetes and Docker; Helm-based packaging is a plus.

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 * CI/CD pipeline ownership, with hands-on Azure DevOps (or TFS/VSTS) and/or Jenkins experience, and deep fluency with Git.

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 * Strong Linux skills and strong programming ability in Python; comfortable reading and working across TypeScript, C++, or other languages in a polyglot codebase.

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 * Full-lifecycle experience: requirements, design, implementation, testing, packaging, installation, and customer support.

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 * A security-first, quality-first mindset - test-driven development, code review, and a strong sense of ownership for reliability, cost, and maintainability., * Experience delivering software into customers' own cloud or on-prem environments (BYOC / self-hosted delivery).

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 * Experience with MongoDB or other data stores running on Kubernetes.

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 * Infrastructure as code with Terraform, Pulumi, or similar; configuration management with Puppet or Ansible.

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 * Experience publishing and maintaining cloud marketplace listings (AWS, Azure, or GCP).

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 * Experience with AWS SageMaker, Azure ML, or Google Vertex AI; background in GPU workloads or data-intensive systems.

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 * Experience with large-scale source control migrations, cross-platform builds, software licensing, or static analysis tooling.

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 * Familiarity with GitHub Actions, ArgoCD, or other modern delivery tooling.