DevOps/OpenShift Engineer (Remote)

We are looking for a Senior DevOps Engineer (Openshift) to help the world’s greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. We are looking for a DevOps Ninja! If you have a strong passion for building next-generation MLOps platforms, you should strongly consider joining client’s team as a Senior DevOps engineer. You will lead large-scale, cross-team efforts and work closely with R&D architects to provide the best DevOps angles for SaaS solutions and also be customer facing providing our customers with the best cloud solutions.

Details:

Experience: 5 years
Schedule: Full remote
Location: Global
English: Fluent
Start: ASAP

Must have technologies: Openshift, Kubernetes, Python

Responsibilities:

1. Lead the team towards technical solutions and greatest technologies like Kubernetes, Helm, Terraform, etc.
2. Design, implement, and manage cloud and containerized architectures in Azure, AWS, and GCP.
3. Work with a large scale of customers with extensive use of K8S and Helm.
4. Tackle large-scale production issues and bring OOB thinking to the table.
5. Evaluate new cloud-native technologies and vendor products to continuously improve our SaaS offerings.

You have:

1. 5+ years of relevant DevOps experience in large-scale production environments.
2. 2+ years of infrastructure automation, configuration management, or container orchestration.
3. 2+ years in Python or any other advanced programming language.
4. Strong ability to lead, design and execute cross-organization projects.
5. High experience in managing container and infrastructure orchestration tools (e.g., Kubernetes, Helm & Terraform).
6. Hands-on experience administering public clouds (Azure or AWS, GCP).
7. Experience with building CI/CD pipelines for applications and microservices.