Key Facts

Remote From:

Poland

Full time

English

Hard Skills

Other Skills

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Communication
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Leadership
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Problem Solving

Roles & Responsibilities

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
Experience building CI/CD pipelines for applications and microservices

Requirements:

Lead the team towards technical solutions guided by strong understanding of Kubernetes, Helm, Terraform, and related technologies
Design, implement, and manage cloud and containerized architectures in AWS, Azure, GCP, and OpenStack
Work with a large-scale customer base with extensive use of Kubernetes and Helm
Tackle large-scale production issues, bring out-of-the-box thinking, and evaluate new cloud-native technologies and vendor products to continuously improve our SaaS offerings

Commit

About Commit

Commit is a global tech services company with offices in New York, Israel, and Europe. The company was founded in 2005 and has over 700 multi-disciplinary innovation experts who serve a broad range of companies, from small startups to large enterprises in multiple business sectors. Commit specializes in advanced technologies and applications with dedicated practices in Software, IoT, Big Data, Cloud, Cyber, Collaboration, Data center migration projects, and more. Commit offers innovative, end-to-end technology solutions by developing custom software and IoT platforms for clients looking to build their next-gen products within the modern ICT world. Commit’s complete and comprehensive engineering powerhouse of resources, and proprietary Flexible R&D methodology helps transform its clients’ technology visions into high-quality products while reducing costs and improving time-to-market.

Company type: SME

Founded: 2018

Company size: 501 - 1000

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Job description

Description

We are redefining modern DevOps to empower organizations to innovate faster and more securely. This is a place where exceptional talent, strong collaboration, and a passion for technology come together. If you are driven to go above and beyond, you’ll find an environment where your career can grow rapidly while contributing to a mission that has real-world impact. Trusted by thousands of customers—including many of the world’s largest enterprises—our platform enables teams to manage, accelerate, and secure software delivery from code to production.

Our Machine Learning group is seeking an experienced Senior DevOps Engineer with a strong passion for building next-generation MLOps platforms. In this role, you will lead large-scale, cross-functional initiatives and collaborate closely with R&D architects to design and deliver robust DevOps solutions for SaaS environments. You will also engage directly with customers, helping them implement scalable, reliable, and secure cloud solutions that meet their evolving needs.

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

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