Senior/Staff Software Engineer

Job Description

Job Description

Senior/Staff Software Engineer — Remote (US) United States · Full-time · Remote (US/Canada, must work U.S. hours)

Mortgage lending still runs on 20-year-old software, and it costs over $11,000 in human effort to originate a single loan. You'd be building the AI-native systems that make that cost disappear.

What you'd actually work on

• Architect, build, and ship multi-step AI agents that customers use to digitize mortgage ops workflows, saving them millions per year in manual processing.
• Integrate with third-party lending APIs to generate documents and disclosures, produce automated underwriting results, and catch fraud before it hits a human reviewer.
• Design and launch the next generation of job-processing infrastructure on AWS, focused on observability and reliability at scale.
• Work directly in a codebase handling loan data with thousands of fields per record, so schema decisions have real downstream consequences.
• Ship to production in week one. No multi-month onboarding runway, you're expected to contribute fast.
• Mentor engineers earlier in their career, on both technical depth and judgment calls.
• Own features end to end, from design through deployment, for enterprise mortgage lender customers.

Where it gets technically interesting

• Nearly the entire codebase is TypeScript in a single monorepo, with types generated directly from Postgres and GraphQL schemas so a database change surfaces as a compile error in React components.
• 100% of infrastructure has been managed in Terraform since day one, with automated per-PR staging environments, so nothing gets deployed by hand.
• You're wrangling non-deterministic LLMs into systems that have to be reliable for a regulated, high-stakes financial process, not just a chatbot.
• AWS backend runs on ECS, RDS, ElastiCache, Kafka, and ElasticSearch, with real throughput demands as loan volume scales.
• The platform stores and displays highly sensitive personal and financial data, so security isn't an afterthought, it's baked into every schema and endpoint decision.
• A comprehensive testing library mocks production-like data for end-to-end, integration, and performance tests, which is what lets the team ship fast without breaking uptime.

What we're looking for

• 7 to 25 years of full-stack engineering experience, with at least 5 years operating at a Senior level.
• Strong, demonstrable TypeScript depth, ideally with recent, complex systems you've built hands-on and can talk through in detail.
• Production experience with React, Node/Express (in Docker), GraphQL/Apollo, and PostgreSQL.
• Experience scaling high-throughput distributed systems in the cloud, with AWS and infrastructure-as-code (Terraform or CloudFormation).
• A background at a high-growth tech company where software was the actual product (VC-backed startup or FAANG), not a traditional industry running internal tools.
• 2+ years of tenure and real progression within the companies on your resume.
• A sharp eye for security risk, given the sensitivity of the data involved.
• Nice to have: fintech background, familiarity with AI product development cycles (evals, experiment design, dataset curation), an SRE mindset, and an active GitHub or side projects.

The company An AI-native fintech startup automating mortgage origination, around 80 people, remote-first across the US and Canada. Just closed a Series B and has powered over $85 billion in home loans on the platform, with a top-10 US mortgage lender going live by end of 2026, a milestone that puts the company on track for profitability. Benefits include 100% of employee and family medical premiums covered, vision, dental, 401(k), HSA/FSA, flexible time off, and competitive equity. Open to visa transfers (OPT, H1B transfer).

Salary range: $150,000 to $350,000

Languages: English (native/bilingual)

A search run by The French Sourcer, recruitment built for technical teams.