Hebbia
Platform Engineer, Document Intelligence
$160K–$350K
NYC +1 · On-site · Full-time · Posted Jul 9, 2025
- Location
- NYC
San Francisco - Experience
- 5+ years software development experience.
- Education
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
About the job
Build and optimize scalable distributed platform systems for document ingestion, indexing, and search across large document repositories.
What you'll do
- Own critical system components and deliver robust solutions to customer needs.
- Build and iterate on a high-scale document build system for constant-time indexing.
- Optimize system performance, latency, and throughput; mentor junior engineers.
What they ask for
- 5+ years of software development experience at a venture-backed startup or top technology firm, focused on distributed systems and platform engineering.
- Proficiency building backend and distributed systems using Python, Java, or Go.
- Deep understanding of scalable system design, performance optimization, and resilience engineering.
- Experience with cloud platforms, observability patterns, and at least one of Kafka, ElasticSearch, PostgreSQL, or Redis.
Nice to have
- Knowledge of workflow orchestration platforms such as Airflow, Temporal, or Prefect.
- Experience with etcd or Apache Zookeeper; frequent use of AI products during development.
Pay
$160,000 to $350,000 (base salary)
Tools
Python, Java, Go, AWS, Kafka, ElasticSearch, PostgreSQL, Redis
AI focus
No specific AI development responsibilities stated; the role builds platform systems supporting document intelligence products.
Model-written summary · the original posting is authoritative