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# DevOps Platform Engineer

- **Company:** Stafford Technology
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Salary:** $83,200.0 - $145,600.0
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Corona (Software Development Kit), DevOps, Monitoring of Systems, Software Engineering, Google Cloud, Retrieval-Augmented Generation, System Availability, Large Language Models, Agentic-AI, Build Management
- **Published:** October 2, 2026
- **Apply:** https://www.dice.com/job-detail/c52cbe90-db6a-4747-8d98-630dc4c0cc6f

## About the Role

* DevOps & Platform Engineering
 * AWS, Azure and/or Google Cloud
 * CI/CD & Infrastructure as Code
 * Automation & Developer Experience
 * SRE, Monitoring & Observability
 * AI/LLMs, RAG, MCP & Agentic Workflows
 * Security & Governance

Required Certification

Candidates must hold at least one:

 * AWS Certified Cloud Practitioner
 * Microsoft Azure Fundamentals
 * Google Cloud Digital Leader, * Strong experience in DevOps, platform engineering, cloud engineering, software engineering, or automation
 * Experience designing and implementing enterprise platform solutions
 * Ability to lead technical projects and work across multiple engineering teams
 * Bachelor's degree in a related technical field or equivalent professional experience

## Description

Location: Hybrid role with 1-2 days per week in office. Candidates must live within 60 miles of Plano, TX or Columbus, OH., We are seeking a Senior DevOps Platform Engineer to build and improve enterprise platforms supporting modern software development. This role focuses on cloud engineering, DevOps, automation, developer experience, and AI-enabled engineering., * Design and build enterprise platforms, shared services, and self-service capabilities

 * Develop automation to improve software development, deployment, and engineering productivity
 * Build and support cloud-native solutions and CI/CD pipelines
 * Improve platform reliability, monitoring, observability, and security
 * Develop reusable APIs, frameworks, templates, and engineering standards
 * Support AI-enabled solutions including LLMs, AI agents, RAG, MCP, and automated workflows
 * Partner with Engineering, Architecture, Cloud, and Security teams