Offer summary

Qualifications:

At least 5 years of DevOps experience in large-scale environments., Minimum of 2 years in infrastructure automation, configuration management, or container orchestration., Proficiency in Python or other advanced programming languages., Hands-on experience with cloud platforms like Azure, AWS, or GCP..

Key responsibilities:

Lead the development of cloud and containerized architectures.

Manage and optimize Kubernetes, Helm, Terraform, and related technologies.

Collaborate with customers and internal teams to resolve large-scale production issues.

Evaluate and implement new cloud-native technologies to enhance SaaS offerings.

Job description

Description

The company is reinventing DevOps 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. Thousands of customers, including the majority of the Fortune 100, trust the company to manage, accelerate, and secure their software delivery from code to production -- a concept we call “liquid software.” Wouldn't it be amazing if you could join us in our journey?

The company is looking for a DevOps Ninja! If you have a strong passion for building next-generation MLOps platforms, you should strongly consider joining the company 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.

Responsibilities

Lead the team towards technical solutions guided by a strong understanding of the latest and greatest technologies like Kubernetes, Helm, Terraform, and more
Design, implement, and manage cloud and containerized architectures in Azure, and AWS, GCP
Work with a large scale of customers with extensive use of K8S and helm
Tackle large-scale production issues and bring OOB 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 in Python or any other advanced programming language
Strong ability to lead, design and execute cross-organization projects
High experience in managing container and infrastructure orchestration tools (e.g Kubernetes, Helm & Terraform)
Hands-on experience administering public clouds (Azure or AWS, GCP)
Experience with building CI/CD pipelines for applications and microservices

Required profile