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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.

Were looking for an MLOps Engineer to join our DevOps team and take part in building a new Software Factory designed to support developers and engineering managers by automating software development, testing, deployment, and system update processes.
This is an early-stage project with existing CI processes, combining hands-on AI development with
the implementation and deployment of solutions in Air-Gapped environments.
Responsibilities
* Develop and implement AI solutions and RAG pipelines using Python
* Integrate LLMs and Vector Databases into the platform
* Build AI capabilities to support and automate software development processes
* Deploy and operate solutions in Air-Gapped environments, including managing dependencies for offline environments
* Integrate AI solutions into CI, automated testing, and deployment processes
* Independently drive technical tasks and solve challenges throughout the project lifecycle.