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Tier-1 brand and recognizable architect title, but high seniority and specialization moderate competition.
Deep cloud-native DevOps and AI deployment expertise makes background moderately specialized and industry-transferable.
Mandatory 15+ years, 6+ years architect experience, and deep DevOps/AI tech requirements make filters strict.
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Define and implement the core domain-wide strategy for application deployment automation and AI-enabled software development across Nokia blueprint and customized product teams.
Architect and deliver scalable, maintainable cloud-native deployment automation solutions using Kubernetes, Docker, public cloud services, Python, Ansible, and AI-powered capabilities integrated into CI/CD and GitOps workflows.
Mentor engineering teams on modern DevOps practices, cloud-native architectures, AI-assisted software delivery, and automation frameworks to improve operational efficiency and delivery velocity.
Bachelor's or Master’s degree in Computer Science or Engineering.
15+ years in software engineering, DevOps, and cloud engineering, including 6+ years in solution architect or senior technical leadership roles.
Expertise in Python or Ansible for building automation frameworks and orchestrations.
Extensive hands-on experience with Kubernetes, Docker, CI/CD and GitOps technologies (e.g., GitLab CI, GitHub Actions, Jenkins, ArgoCD).
Practical knowledge and experience applying AI and Generative AI to deployment automation and DevOps workflows, including understanding of LLMs, RAG, AI agents, and AI governance.
Senior technical leader with proven experience driving end-to-end cloud-native deployment automation at scale and mentoring engineering teams.
Strong background in integrating AI capabilities within DevOps and automation pipelines to optimize release velocity and operational health.
Experience working with complex software delivery ecosystems combining automation tools, cloud services, and AI frameworks in highly regulated or large-scale environments.