Staff Software Engineer

• 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.

• 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.