Cloud & Platform Engineer
- Hiring from
- Hungary
- Work type
- Hybrid
- Posted
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๐ Cloud & Platform Engineer | Red Hat OpenShift & Kubernetes (OVN/CNI) | AI/ML, Graph Theory & SLM
๐ Remote | ๐ Permanent Contract |
Our client, an in-house technology consultancy of a global consulting firm, is seeking an experienced Cloud & Platform Engineer to drive an ambitious engineering initiative combining enterprise platform operations and infrastructure-level AI/ML solutions. In this role, you will take direct technical ownership of Red Hat OpenShift platforms, advanced container networking, and the implementation of purpose-built small language models (SLMs) and graph analytics across large-scale, heterogeneous networks.
What Youโll Be Doing:
- Architecting, deploying, and maintaining enterprise Red Hat OpenShift platforms and production-grade Kubernetes environments.
- Managing and optimizing container networking stacks at scale, with deep focus on OVN-Kubernetes and CNI plugins.
- Applying advanced AI/ML algorithms focusing on Graph Theory and Path Analysis to model network behaviors and optimize traffic flows.
- Building and maintaining high-performance model inferencing pipelines using TensorFlow.
- Designing and adapting configuration abstractions across large-scale heterogeneous networks with multi-purpose devices.
- Training, profiling, and deploying purpose-built Small Language Models (SLMs) tailored to network monitoring and operational behavior analysis.
What Weโre Looking For:
- Strong commercial background in platform engineering, cloud infrastructure, and enterprise container orchestration.
- Significant practical expertise in data science, predictive modeling, and applied AI/ML in operational environments.
- Experience managing large-scale, heterogeneous network topologies and complex network telemetry.
- Consultant mindset: ability to communicate architectural rationales, guide cross-functional teams, and propose continuous engineering enhancements.
- E2E ownership mentality with a rigorous focus on automation, reliability, and security.
Must-Haves:
- Deep hands-on experience with Red Hat OpenShift platform engineering and administration.
- Advanced knowledge of Kubernetes and container networking (OVN-Kubernetes / CNI).
- Proven AI/ML domain expertise focusing on Graph Theory and Path Analysis.
- Hands-on experience with TensorFlow and production-grade inferencing workflows.
- Practical expertise with LLM/SLM models tailored to network infrastructure, including behavioral training and profiling.
- Demonstrated ability to adapt configuration abstraction across complex multi-device networks.
- Excellent English communication skills for daily international collaboration.
Location & Working Setup:
- Hybrid Work Model 2 days in the office (Budapest, Hungary)
If you are an experienced platform engineer who thrives at the intersection of OpenShift architecture and cutting-edge SLM/AI infrastructure, apply today or reach out directly to connect!