Senior Backend Engineer, Document Ingestion
Confirmed on the employer's own hiring board on Sep 29, 2026. First seen by Alion on Sep 17, 2026.
Our client, a well-funded Series A AI and computer vision startup, is looking for a Senior Backend Engineer to own a critical data ingestion platform, including OCR, document classification, embeddings, and AI/CV processing. The role is heavily focused on distributed systems, workflow orchestration, reliability, and scalability, with significant ownership over their Temporal architecture.
About the Role
Senior Backend Engineer to own a critical data ingestion platform, including OCR, document classification, embeddings, and AI/CV processing, with a heavy focus on distributed systems, workflow orchestration, reliability, scalability, and significant ownership over their Temporal architecture.
Responsibilities Own a critical data ingestion platform, including OCR, document classification, embeddings, and AI/CV processing.
Focus on distributed systems, workflow orchestration, reliability, and scalability.
Take significant ownership over their Temporal architecture.
Work with Docker, Kubernetes, and production infrastructure.
Build durable, fault-tolerant, highly scalable systems. Qualifications Must be eligible to work in the US Required Skills 5+ years of backend engineering experience
3+ years of Python
Strong production experience with Temporal
Solid distributed systems fundamentals
Strong AWS experience
Experience operating and debugging production systems Preferred Skills Experience with Python, Temporal, AWS, S3, DynamoDB, SQS, Redis
Experience with distributed systems and long-running workflows
Experience with OCR, document processing, embeddings, and AI/CV pipelines
Experience with Docker, Kubernetes, and production infrastructure
Experience building durable, fault-tolerant, highly scalable systems Pay range and compensation package Comp: $180-220K base + equity
Location: Hybrid, 2 days onsite in Redwood City Equal Opportunity Statement
Information about equal opportunity, diversity, and inclusivity was not provided in the original job description.
Additional Details Python, Temporal, AWS, S3, DynamoDB, SQS, Redis
Distributed systems and long-running workflows
OCR, document processing, embeddings, and AI/CV pipelines
Docker, Kubernetes, and production infrastructure
Building durable, fault-tolerant, highly scalable systems Salt is acting as an Employment Agency in relation to this vacancy.