Senior Backend Engineer, Data Ingestion
Role Overview
As a Senior Software Engineer, Backend, you'll design and build the backend systems behind Scribe's data ingestion, workflow processing, and AI inference capabilities, working close to application code while thinking deeply about distributed systems, scalability, and performance. You'll help architect large-scale data pipelines, build services that power AI inference with our in-house models, and improve business-critical systems across the platform, working across Python, TypeScript, and Go in partnership with teammates deploying to AWS.
Key Skills for This Role
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About Scribe
Scribe is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to own their specialized intelligence: the unique way their teams work, decide, and get things done. Our Specialized Intelligence platform automatically captures how work happens and turns it into a living asset that helps people and AI agents do their best work.
We're growing fast, since our founding in 2019, we've grown to 7 million users across 600,000 businesses. Based in San Francisco, we've been named a LinkedIn Top Startup, are valued at over $1 billion, and are backed by leading investors. Join us in our mission to transform how people do work.
π About the Role
As a Senior Software Engineer, Backend, you'll design and build the backend systems behind Scribe's data ingestion, workflow processing, and AI inference capabilities, working close to application code while thinking deeply about distributed systems, scalability, and performance. You'll help architect large-scale data pipelines, build services that power AI inference with our in-house models, and improve business-critical systems across the platform, working across Python, TypeScript, and Go in partnership with teammates deploying to AWS.
π οΈ What You'll Do
Architect and evolve large-scale data ingestion and processing pipelines
Build services that power AI inference with our in-house models
Improve the performance of business-critical systems across the platform
Design, deploy, and operate microservices in production
Work across Python, TypeScript, and Go to ship reliable, maintainable code
Partner with teammates to deploy and operate systems in AWS
π What We're Looking For
You bring 8+ years of experience building backend applications with Python, Typescript, or Go.
You have deep experience designing and operating distributed systems in production environments.
Youβre confident working with message queues, background jobs, and task orchestration tools such as Celery, SQS, RabbitMQ, or Kafka.
Youβve built large-scale data ingestion and processing systems and understand the challenges that come with scale, reliability, and performance.
You have experience designing, deploying, and maintaining microservices.
You know how to optimize endpoint performance, improve database query efficiency, and troubleshoot bottlenecks in critical systems.
You enjoy building pragmatic, high-quality application code and care about maintainability as much as velocity.
You thrive in fast-moving environments and bring a strong sense of ownership to your work.
β¨ Nice to Have
You have experience with Django.
Youβve worked at a startup or other fast-paced, high-growth environment.
π Location
- Hybrid. Based in San Francisco. We work from the office 3 days per week.
π° Compensation
- Salary varies by location. All full-time employees receive equity in Scribe. Final offers depend on experience and scope.
π Benefits
- Health, dental, and vision insurance for you and your dependents
- Flexible paid time off and company holidays
- 401(k)
- Paid parental leave
- Daily catered lunch (SF office)
- Commuter benefits
- Home office stipend
- At Scribe, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. Scribe is proud to be an Equal Opportunity Employer.
About Scribe
Workflow AI software company that helps organizations capture, improve, and scale how work gets done.
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