DevOps Automation Engineer (Python, AI/ML & Red Hat OpenShift)
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At a glance
Job overview
ICONMA, LLC is hiring a DevOps Automation Engineer (Python, AI/ML & Red Hat OpenShift). The DevOps Automation Engineer will focus on building enterprise automation solutions and deploying AI-enabled applications. This role requires strong scripting and infrastructure automation skills, with a focus on Python and AI/ML integration. The engineer will also be responsible for ensuring AI security and data privacy, working autonomously to troubleshoot complex problems, and collaborating effectively across technical and non-technical teams.
Key focus areas include Design and implement automation solutions using Python and scripting, Integrate AI components into software or IT environments, and Incorporate encryption and data protection best practices.
Successful candidates bring 8+ Years DevOps Or Automation Engineering Or Platform Engineering Or Cloud Infrastructure. Important skills include Scripting, Infrastructure Automation, API Integration, Automation Frameworks, AI Integration, and AI Security. Preferred (not required): Python, Telecom Industry Knowledge, IMS Environments, and Nokia IMS Network Elements.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Our client, a IT Services and Consulting company, is looking for a DevOps Automation Engineer (Python, AI/ML & Red Hat OpenShift) for their Warrenville, IL location. Requirements:
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8+ years in DevOps, Automation Engineering, Platform Engineering, or Cloud Infrastructure.
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Experience building enterprise automation solutions and deploying AI-enabled applications.
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Strong scripting and infrastructure automation background.
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Automation Proficiency: Proven ability to design and implement automation solutions – adept in scripting and programming (Python or similar), API integration, and using automation frameworks or tools to connect systems and streamline processes.
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AI Integration: Experience integrating AI components into existing software or IT environments, ensuring compatibility and robust performance in real-world scenarios.
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Security Awareness: Solid understanding of AI security and data privacy best practices. Able to incorporate encryption, data protection, and ethical AI considerations into development and deployment.
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Independent Problem-Solving: Self-driven and resourceful, capable of working autonomously to troubleshoot complex problems and drive projects to completion without close supervision.
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Collaboration & Communication: Excellent teamwork skills with the ability to communicate effectively across technical and non-technical teams, ensuring alignment and shared understanding of project goals.
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AI/ML Expertise: Some foundation in artificial intelligence and machine learning, with hands-on experience building AI agents or models (e.g. NLP assistants, predictive algorithms) and deploying them in production
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Telecom Industry Knowledge: Familiarity with telecom networks or IMS (IP Multimedia Subsystem) environments is a plus. Experience with Nokia IMS network elements or similar telecom systems is advantageous.
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Domain Experience: Previous work in telecommunications, network automation, or related industry experience can be beneficial. Experience with Redhat open shift deployments and automation is a plus.
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Continuous Learning: Demonstrated enthusiasm for staying up-to-date with the latest AI/ML technologies, automation tools, and industry best practices.
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8.00 Years of Experience
Skills:
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Category Name Required Importance
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Software Skills Python No 1
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Technical Skills AI No 1
Why Should You Apply?
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Health Benefits
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Referral Program
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Excellent growth and advancement opportunities
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