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.