Kubernetes Platform Engineer - AI Infrastructure (8+ Years)
Core
Design and develop scalable Kubernetes infrastructure supporting traditional ML and Large Language Models (LLMs) for enterprise-grade AIOps platforms.
Role type
Senior Platform Engineer (AI/ML Infrastructure)
Builds
Enterprise-grade AIOps platforms, intelligent agentic frameworks, and scalable ML subsystems for data-intensive tasks.
Domain
Cloud Infrastructure, AI/ML, AIOps
Deliverable
production ML models | infrastructure
Required skills
Kubernetes architecture, Golang, Python, distributed systems, SRE principles, data pipelines, time-series systems, system design
Preferred skills
Kubeflow, KServe, Airflow, MLflow, LangChain, RAG systems, vector databases (Pinecone, FAISS), Docker, CI/CD for ML
Technologies
Kubernetes, Golang, Python, Kubeflow, KServe, Airflow, MLflow, LangChain, Pinecone, FAISS
Responsibilities
Architect and evolve enterprise-grade AIOps platforms; design intelligent agentic frameworks; define scalable architecture for ML subsystems; participate in on-call rotations and incident response; build and maintain backend systems; drive AIOps initiatives across PaaS platforms; mentor junior engineers; automate platforms as infrastructure as code; conduct code reviews.
Seniority
Senior, hands-on IC with leadership responsibilities
