Description:

Design, develop, and maintain infrastructure for CPQ products, ensuring dependability and scalability.
Develop and test software applications in Python, adhering to best practices for maintainable code.
Build, deploy, and manage applications using Docker and Kubernetes.
Manage infrastructure across GCP, Azure, and AWS for high availability and security.
Conduct code reviews for security vulnerabilities and ensure thorough software testing.
Oversee deployment and maintenance of CPQ microservices, including AI-driven components.
Collaborate with AI/ML teams on intelligent microservices and data science implementations.
Perform advanced tasks on PostgreSQL databases, ensuring data consistency.
Provide expert support for SaaS CPQ solutions and troubleshoot technical issues.
Mentor colleagues and promote knowledge-sharing.

Requirements:

5+ years of experience in DevOps engineering with a track record of high-quality product delivery.
Proficiency in Python and experience with software development lifecycle (SDLC) and automation.
Experience with GCP, Azure, or AWS and Hyperscalers.
Familiarity with AI/ML integration in engineering processes.
Experience with Docker, Kubernetes, and PostgreSQL database management.
Knowledge of AI productivity tools is a plus.
Experience in regulated markets on Azure is a plus.

Skills

Benefits