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Strong employer brand, mid-level generalist role, metro location, and broad skillset drive high competition.
DevOps skills are broadly transferable, but CPQ/AI and regulated market experience increases domain specificity.
Explicit 5+ years plus mandatory cloud, Python, Kubernetes, CI/CD, and database skills create strict filters.
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Design, develop, and maintain infrastructure and scalable, reliable CPQ product microservices including AI-driven components.
Manage and evolve cloud infrastructure across GCP, Azure, and AWS, ensuring high availability, security, and multicloud interoperability.
Build and deploy applications using Python, Docker, Kubernetes, and implement automation and CI/CD processes including monitoring and support for SaaS CPQ solutions.
5+ years of experience in DevOps engineering with proven delivery of high-quality products.
Proficiency in Python and experience with Docker, Kubernetes, PostgreSQL, and managing cloud platforms GCP, Azure, or AWS.
Experience implementing automation, testing strategies, and CI/CD workflows using GitHub and GitHub Actions.
Work Experience Required: 5+ years in DevOps engineering.
Experience integrating AI/ML into engineering processes, including AI-driven monitoring and testing.
Practical skills in deploying and supporting AI/ML microservices in a production environment for CPQ products.
Familiarity with regulated markets on Azure and multicloud environment management.