Added
4 days ago
Type
Full time
Salary
Salary not provided

Related skills

github azure docker aws postgresql

📋 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.
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