Zefr Benefits Overview

Support and improve cloud infrastructure, Kubernetes-based microservices, CI/CD pipelines, infrastructure-as-code, observability, and production reliability. The role involves debugging application and infrastructure issues, participating in a 24/7 on-call rotation, maintaining documentation and runbooks, and collaborating with engineering and data science teams to deliver scalable, automated systems.

Design, build, and operate complex Apache Airflow workflows, Snowflake and dbt data transformation pipelines, and distributed data science inference systems across multi-cloud environments including AWS and GCP. Collaborate with an experienced data engineering team while applying systems engineering and product lifecycle principles.

Annotate and evaluate videos, images, and metadata across major social platforms to support AI system training. Apply contextual and cultural guidelines, resolve ambiguous or sensitive content decisions, perform quality assurance, identify trends and edge cases, conduct root cause analysis, prepare weekly reports, and recommend improvements to labeling processes and tools. The role requires English and Hindi fluency, strong attention to detail, analytical judgment, and comfort handling sensitive content.