DevOps Engineer

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. AI Integration: Experience integrating AI components into existing software or IT environments, ensuring compatibility and robust performance in real-world scenarios. 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. Independent Problem-Solving: Self-driven and resourceful, capable of working autonomously to troubleshoot complex problems and drive projects to completion without close supervision. 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. 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

Preferred Skills & Experience:

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. Domain Experience: Previous work in telecommunications, network automation, or related industry experience can be beneficial.Experience with Redhat openshift deployments and automation is a plus. Continuous Learning: Demonstrated enthusiasm for staying up-to-date with the latest AI/ML technologies, automation tools, and industry best practices.