Senior Backend Software Engineer — San Francisco, CA
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Локация: San Francisco, CA
Формат: не указан
Занятость: Полная занятость
Грейд: Senior
Remote within North America
We’re hiring a Senior Backend Software Engineer for a Series A company building software for commercial insurers. The platform pulls information from large volumes of messy documents and data so underwriting teams can make decisions and see where the information came from.
You’ll join the team that builds the APIs and tools customers use to integrate with the platform. You’ll work with engineers who handle customer deployments and use what they learn to make integrations easier to set up, test, and maintain.
What you’ll do
• Design and ship backend services, data models, and asynchronous pipelines in Python on AWS.
• Build public APIs and third-party integrations, with documentation customers can use to get started on their own.
• Improve authentication, SSO, permissions, and the admin tools used to configure customer deployments.
• Scale LLM-powered document processing and build evaluations that measure extraction accuracy and help trace errors back to the source.
• Tune PostgreSQL queries as data volumes grow, lead the response to production incidents, and refactor code that makes new integrations harder to build.
• Help other engineers through design reviews, pairing, and code review.
What we’re looking for
• 5+ years of software engineering experience building and operating backend systems in production.
• Strong Python skills or substantial experience in another object-oriented language and the ability to work in Python.
• Experience with AWS, asynchronous workflows, and serverless services such as Lambda or Step Functions.
• Strong relational database skills, including query performance tuning. PostgreSQL experience is preferred.
• Experience designing external APIs or integrating with third-party systems.
• The ability to take a project from scoping through rollout, surface blockers early, and debug issues in production.
Experience with production LLMs, document processing at scale, or distributed systems is a plus. A background in insurance, fintech, or another data-heavy regulated industry is also welcome.