Senior Backend Engineer - Python/Django, Scale & Impact

Mosaic.tech; San Francisco (CA); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Flexible paid time off

401(k)

Paid parental leave

Daily catered lunch (SF office)

Commuter benefits

Home office stipend

Job summary

Scribe is hiring a Senior Backend Engineer to join the Adopt Engineering Team in San Francisco. You will own critical backend features, improve performance, and collaborate across the stack to deliver high-quality experiences.

We value depth in engineering, strong Python skills, and a commitment to testing and best practices. This role supports a hybrid work model with a SF office presence.

Qualifications

• 5+ years of experience building backend applications at high scale and availability.
• Extensive experience with Python.
• Knowledge of optimizing endpoint performance and database queries.
• Strong advocate for automated testing.
• Experience implementing engineering best practices.
• User-centric, empathetic, and passionate about work.

Responsibilities

• Build and ship backend features in our Django monolith, including core document workflows and new greenfield projects.
• Improve performance and reliability by optimizing queries, endpoints, and caching layers.
• Collaborate with product managers, designers, and frontend engineers to deliver scalable experiences.
• Contribute to technical discussions, balancing quick delivery with architectural evolution.
• Uphold engineering practices through code reviews, test coverage, and observability.

Skills

5+ years backend

Python

Endpoint optimization

Automated testing

Engineering best practices

User-centric

Tools

Django

PostgreSQL

Redis

Celery

Terraform

Job description

Scribe is hiring a Senior Backend Engineer to join the Adopt Engineering Team in San Francisco. You will own critical backend features, improve performance, and collaborate across the stack to deliver high-quality experiences.

We value depth in engineering, strong Python skills, and a commitment to testing and best practices. This role supports a hybrid work model with a SF office presence.