Senior Platform Engineer (AI)

TL;DR

Senior Platform Engineer (AI): Building and optimizing scalable, fault-tolerant ingestion systems and APIs for an AI & Data Context Platform with an accent on distributed architecture, real-time metadata processing, and schema mapping. Focus on solving complex technical challenges related to high-scale data processing and AI asset versioning.

Location: Hybrid, 3 days in Palo Alto office (Bay Area, US)

Salary: $225,000–$300,000

Company

hirify.global is an AI & Data Context Platform adopted by over 3,000 enterprises, providing a fully managed solution with AI-powered discovery, observability, and governance capabilities.

What you will do

• Build scalable, fault-tolerant ingestion systems for enterprise-scale metadata.
• Design clean, intuitive APIs for the connector ecosystem.
• Develop event-driven architectures for real-time metadata processing.
• Implement schema mapping between diverse systems and hirify.global's unified model.
• Create versioning systems for AI assets (training data, model weights, embeddings).

Requirements

• 4+ years building production-grade distributed systems.
• Advanced Python expertise with a focus on API design.
• Experience with high-scale data processing or integration frameworks.
• Strong systems knowledge and distributed architecture experience.
• Track record of solving complex technical challenges.

Nice to have

• Experience with hirify.global or similar metadata/ETL frameworks (Airflow, Airbyte, dbt).
• Open-source contributions.
• Early-stage startup experience.

Culture & Benefits

• Competitive compensation and equity for every team member.
• Hybrid work format (3 days in Palo Alto office).
• Monthly coworking stipend.
• Comprehensive health coverage (99% medical, dental, vision premiums for employees, 65% for dependents).
• Flexible savings accounts (FSA, Dependent Care FSA).
• Inclusive fertility benefits and family-forming support through Carrot Fertility.
• Unlimited PTO and sick leave policy.