While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Work Location: USA/Canada
Skills:
Kubernetes Proficiency: In-depth knowledge of Kubernetes architecture, components, and operations.
Deployment Expertise: Strong experience with deployment tools such as Helm, ArgoCD, and implementing GitOps methodologies.
Cloud-Native Options: Familiarity with cloud-native solutions like Autopilot for managing Kubernetes clusters effectively.
Cloud Experience: Proficient in both AWS and GCP cloud environments, with a solid understanding of their services and capabilities.
Python Proficiency: Hands-on experience with Python for application refactoring and automation tasks.
Infrastructure as Code: Experience with Terraform for managing cloud infrastructure through code.
Certifications:
CNCF Certification: CNCF certifications such as CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), or CKS (Certified Kubernetes Security Specialist).
What is in it for you:
Be part of the fastest-growing AI-first digital transformation and engineering company in the world.
Be a leader of an energetic team of highly dynamic and talented individuals.
Exposure to working with fortune 500 companies and innovative market disruptors.
Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Top Skills
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business.
Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
