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# Senior Software Engineer - Backend (Integrations)

- **Company:** Read AI
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $180,000.0 - $210,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Backup Devices, Data Synchronization, Distributed Systems, Python (Programming Language), OAuth, Salesforce.Com, Software Engineering, Data Streaming, Systems Integration, Backend, Event Driven Architecture, Slack, Apache Kafka, Api Design, Amazon Simple Queue Service (SQS), Webhooks
- **Published:** July 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=015de5e0c6a43b30

## About the Role

* 7+ years of professional software engineering experience, with meaningful time in backend/distributed systems
 * Strong experience with event-driven architectures (Kafka, SQS, or similar)
 * Strong API design skills, particularly for services operating in distributed, event-driven systems
 * Familiarity with the third-party API integration problem domain (OAuth2, webhooks, rate limits)
 * Strong experience in at least one backend language (Python, Java, or similar), with the willingness and ability to ramp up in Python
 * Comfort navigating and improving an established, production codebase
 * Strong system design skills

## Description

The Integrations team owns the systems that connect Read AI to the outside world - from OAuth2 connections and credential management, to event-driven pipelines that pull data in from platforms like Google, Microsoft, Slack, Zoom, and Salesforce, to services that push Read AI data back out. This is an event-driven architecture built on Kafka and SQS, supporting both foundational infrastructure used across the company and product-facing integration features., * Contribute to system design for new third-party integrations, from OAuth2 connection through data sync

 * Ship integration features end-to-end, working across push and pull data flows
 * Help standardize and generalize integration patterns to make future integrations faster to build
 * Design clean, well-structured APIs to support integration features and platform services

Improve scalability and reliability

 * Work within the team's event-driven infrastructure (Kafka, SQS, CDC streaming, webhook processing) to improve reliability as usage scales
 * Come up to speed on the current architecture and help evolve it to handle rapid growth

Build visibility into system health

 * Build dashboards and tooling that give engineering and product teams visibility into the health and success of integration systems and features

Collaborate with the team

 * Bring senior-level experience and judgment to technical discussions and design decisions
 * Work closely with teammates who know the current systems deeply, while helping push them forward


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