DevOps Lead

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

About Job

DevOps Tech Lead

The DevOps Tech Lead is a hands-on engineer responsible for designing, implementing, and managing a Kubernetes-based platform ecosystem. This role involves developing containerization strategies, enhancing developer workflows, and ensuring high availability and scalability of the Kubernetes infrastructure.

Key Responsibilities :

• Implement platform capabilities and containerization strategies using Kubernetes, Docker, and service mesh.
• Design and manage Kubernetes cluster topology, traffic shaping, APIs, CI / CD pipelines, and observability.
• Automate Kubernetes infrastructure deployment and management.
• Develop self-service platform capabilities for developer workflows, including API management and certificate management.
• Optimize Kubernetes platform for high availability and scalability.

Requirements :

Additional Skills Preferred :

Skills Required

Azure, Python, Cloud Computing