Senior Backend Engineer, Document Ingestion

Salt Digital Recruitment; Redwood City (CA); Hybrid; USD 180,000 - 220,000; Full time

Job summary

Salt Digital Recruitment is seeking a Senior Backend Engineer in a hybrid role based in Redwood City. The position focuses on owning a data ingestion platform with OCR, document classification, embeddings, and AI/CV processing, emphasizing distributed systems and scalable architectures.

You will take ownership of Temporal architecture, collaborate with production infrastructure, and build fault-tolerant systems at scale. 2 days on-site required in Redwood City, CA.

Qualifications

• 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.

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 Temporal architecture.
• Work with Docker, Kubernetes, and production infrastructure.
• Build durable, fault-tolerant, highly scalable systems.

Skills

Python

Temporal

Distributed systems

AWS

Production systems

Tools

Docker

Kubernetes

AWS

S3

DynamoDB

SQS

Redis

Job description

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