Senior DevOps Engineer

📋 Description

• Design, develop, and maintain infrastructure to support CPQ products with dependability and
• Develop and test software applications in Python, adhering to best practices for maintainable code.
• Build, deploy, and manage applications using Docker and Kubernetes, optimizing for automation and
• Manage infrastructure across GCP, Azure, and AWS with native services for high availability
• Oversee deployment, monitoring, and maintenance of CPQ microservices, including AI-driven
• Collaborate with AI/ML teams to deploy and support intelligent microservices with data science

🎯 Requirements

• Experience integrating AI into workflows and problem-solving, with exposure to AI-powered tools or
• Experience with AI/ML in engineering and quality processes (e.g., automated testing, intelligent
• 5+ years in DevOps engineering delivering high-quality products.
• Experience with GCP, Azure, or AWS and hyperscalers.
• Proficiency in Python.
• Experience with SDLC, automation, and CI/CD practices using GitHub and GitHub Actions.