Backend Engineer, Data Ingestion

The role

You will work on backend and infrastructure systems that receive, batch, store, and hand off captured activity to the AI pipeline. You will build and operate high-throughput backend services, queues, and storage.

What you will do

• Build projects from design to launch
• Collaborate with PMs, designers and other engineers
• Contribute to technical discussions
• Uphold strong engineering practices including code review, test coverage and observability
• Build and operate high-throughput backend services and the queues and storage behind them
• Improve performance and reliability of services, database queries, endpoints and caching
• Take part in the on-call rotation for the systems you build

Required qualifications

• 2+ years building experience building backend applications
• Product-minded
• Comfortable with unclear problems and fast change
• Strong Python or Go experience, or experience in another backend language and willingness to work across Python and Go
• Familiar with queues, object storage, and relational or time-series databases
• Has debugged a production problem from metrics and logs
• User-centric, empathetic, and passionate about your work

Nice to have

• AI/LLM product experience
• startup experience

Benefits

• Comprehensive health, dental, and vision plans, including two $0/month medical plan options
• Equity
• 401(k) plan through Vestwell
• $500/year Flex Benefit for home office equipment, productivity tools, learning & development or fitness/wellness
• $100/month Commuter Benefits for SF based employees
• Flexible paid time off and company holidays
• Paid parental leave
• Free Talkspace membership
• One Medical access (location-dependent)
• Kindbody discounts for family planning

Before you apply

• Send a POST to https://apply.scribe.com with full_name, email, github_url, and resume_url in the json body

About the company

Scribe is a Specialized Intelligence platform that automatically captures how work happens. Based in San Francisco, it is a LinkedIn Top Startup valued at over $1B.