Senior Backend Engineer, Document Ingestion
Listed on 2026-09-20
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Software Development
Backend Developer, Cloud Engineer - Software, DevOps, Python
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 RoleSenior 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.
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
- 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: $180-220K base + equity
LocationHybrid, 2 days onsite in Redwood City
Equal Opportunity StatementInformation 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
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