We are looking for an experienced DevOps Engineer to join our growing DevOps team and play a key role in designing, building, and maintaining modern infrastructure across a wide range of cutting-edge technology projects.
This role combines cloud infrastructure, Kubernetes platforms, CI/CD automation, Microservices architecture, and next-generation AI infrastructure. You will work closely with Software Engineering, DevOps, Data, and AI teams, supporting mission-critical environments ranging from cloud-native development platforms to secure AI deployments.
Responsibilities
Design, build, and maintain modern DevOps infrastructure across multiple projects.
Deploy, manage, and optimize OpenShift, Kubernetes, and Rancher environments.
Design, build, and maintain robust CI/CD pipelines.
Support and manage cloud-native development environments, primarily on Microsoft Azure.
Design and support Microservices-based infrastructure.
Collaborate closely with development teams to deliver scalable infrastructure and platform solutions.
Build and maintain AI infrastructure in secure enterprise environments, including air-gapped deployments.
Integrate AI capabilities and modern developer productivity tools into engineering workflows.
Continuously improve automation, deployment processes, platform reliability, and operational excellence.
Requirements: 5+ years of hands-on experience as a DevOps Engineer.
Deep knowledge and practical experience working with Microservices-based architectures.
Strong hands-on experience with OpenShift
Hands-on experience with Kubernetes and Rancher.
Proven experience designing, building, and maintaining CI/CD pipelines, with a strong emphasis on Azure DevOps Server.
Strong experience working with Microsoft Azure. Experience with AWS and GCP is an advantage.
Hands-on experience with AI technologies, including the ability to develop or implement MCP Servers, integrate AI plugins into IDEs, and implement capabilities such as AI-powered code completion.
Strong understanding of AI Agents and Agent Skills, with the ability to design, develop, and implement Agents and Skills, rather than simply consuming existing AI tools.
Experience with JFrog Pipelines- an advantage.
This position is open to all candidates.