You will design, implement, and operate scalable AI/ML platforms on Kubernetes, managing GPU infrastructure and MLOps/LLMOps workflows. Additionally, you will provide technical leadership, mentor colleagues, and advise clients on AI governance and best practices.
You will develop and optimize scalable data solutions and pipelines for clients using modern cloud platforms like Databricks. Additionally, you will act as a consultant to guide clients through the design and implementation of data architectures while managing projects.
You will design, build, and operate high-availability AI/ML platforms on Kubernetes, including GPU infrastructure and model-serving services. Additionally, you will develop MLOps/LLMOps workflows and provide technical leadership and consulting to clients on AI governance and performance optimization.
The Senior Kubernetes Platform Engineer will design, implement, and manage scalable Kubernetes environments while providing expert consulting on cloud-native strategies. They will also lead technical workshops, drive automation initiatives, and support the modernization of existing platforms for enterprise clients.
Responsible for the sales and strategic development of complex Cloud Native solutions and the management of selected key accounts. Collaborates with consulting and service delivery teams to translate technical requirements into sustainable customer solutions.
Identify and develop business opportunities with medium and large enterprises while managing the full sales cycle from lead generation to closing. Build trust-based relationships with key decision-makers and translate client needs into concrete IT solutions.
