Lead Data Platform Engineer

📋 Description Manage end-to-end Data pipelines (ETL) within SLAs. Manage AWS core big data services (S3, IAM, EMR, Redshift). Run applications in containers (ECS, Docker). Lead Day 2 ops for ML/GenAI infra; high-availability LLM serving with IaC. Collaborate with product and engineering teams to create AI-driven features. Automate maintenance, standardize IaC, and manage multi-cloud releases. 🎯 Requirements Bachelor's degree and 8+ years managing Big Data pipelines. Linux administration and troubleshooting. 5+ years cloud infra experience on AWS and Azure. Familiar with generative AI landscape and AI technologies. Strong MLOps and production-grade LLM ops; observability. Bash or Python scripting experience. 🎁 Benefits Remote-friendly culture with global impact. Opportunity to work on GenAI platforms and AI features. Collaborative culture with transparency and excellence. Exposure to large-scale data platforms and cloud infra. Learning and growth in cutting-edge ML Ops.