The French Sourcer

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.

Job DescriptionJob 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.