Senior Backend Engineer, Document Ingestion

About the Company 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 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 Comp 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 #J-18808-Ljbffr Salt Digital Recruitment