We’re reinventing DevOps to help the world’s most innovative companies move faster and build better software—and we’re looking for people who want to be part of that journey. This is a place defined by brilliance, strong spirit, and genuinely great people. If you’re driven to go further, your career can truly take off here. Since software plays a central role in everyday life, you’ll also be contributing to a mission that matters. Thousands of customers, including many of the world’s largest enterprises, trust our platform to manage, accelerate, and secure software delivery from code to production—a concept we call liquid software. Imagine joining us on this journey.
As a Senior DevOps Engineer, you’ll lead large-scale, cross-team initiatives and collaborate closely with R&D architects to design and deliver best-in-class DevOps solutions for SaaS environments. You’ll also be customer-facing, helping organizations adopt and optimize cloud solutions that power modern ML-driven workflows.
What You will do:
- Lead the team towards technical solutions guided by a strong understanding of the latest and greatest technologies such as Kubernetes, Helm, Terraform, and more
- Design, implement, and manage cloud and containerized architectures in AWS and Azure, GCP, OpenStack
- Work with a large scale of customers with extensive use of Kubernetes and Helm
- Tackle large-scale production issues and bring out-of-the-box thinking to the table
- Evaluate new cloud-native technologies and vendor products to continuously improve our SaaS offerings
Requirements:
- 5+ years of relevant DevOps experience in large-scale production environments
- 2+ years of infrastructure automation, configuration management, or container orchestration
- 2+ years of experience in Python or another advanced programming language
- Strong ability to lead, design, and execute cross-organization projects
- High experience managing container and infrastructure orchestration tools (e.g., Kubernetes, Helm, Terraform)
- Hands-on experience administering public clouds (AWS or Azure, GCP)
- Experience building CI/CD pipelines for applications and microservices
