Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4359071747&distance=25.0&f_AL=true&f_TPR=r10000&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER Job Description: Founding Engineer — Backend & Data Greenline · United States (Remote) Easy Apply Save Save Founding Engineer — Backend & Data at Greenline Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 About the job Founding Engineer -- Backend & Data About Greenline At Greenline, we're dedicated to unlocking mortgage lending for self-employed and non-traditional borrowers. We’re a small and nimble team that values brains, empathy, and hustle. Our team operates remotely, and we’ll give preference to candidates in the SF Bay Area, Austin, and NYC. Greenline’s engineers are involved throughout the product lifecycle, from idea generation, design, prototyping, and production delivery. You’ll regularly face sophisticated technical problems, requiring you to evaluate tradeoffs and find an incremental path to ship new features. You will partner closely with technical and non-technical teammates to understand our customers' problems and build solutions accordingly. You’ll have high ownership and a strong bias toward action. Job Description Greenline’s founding backend and data engineer will build software at scale to transform how lenders and related parties use our insights. You’ll not only build our product, but also shape our culture, team, and codebase. An ideal candidate wants to deeply understand Greenline’s business, product, and the best ways to delight our customers. You know when to build quickly to deliver immediate value and when to build comprehensively for mission-critical projects. This is a senior/staff individual contributor role with architectural influence. This engineer will design resilient data pipelines and collaborate with product and compliance stakeholders to ensure correctness, auditability, and extensibility. Tech Stack Postgres DB accessible through a GraphQL API built with Hasura NextJS web application deployed to Vercel yarn workspace monorepo utilizing TypeScript Playwright + Jest testing with ~80% test coverage Responsibilities Your primary responsibilities will include: Build and maintain serverless functions and background jobs in TypeScript, ensuring clean separation of concerns and test coverage. Collaborate with cross-functional teams to develop and implement machine learning models, algorithms, and ledger-based technologies. Stay current with industry advancements in machine learning and artificial intelligence. Apply relevant techniques and technologies to improve existing models and systems. Build performant and scalable systems for storage, auth, or asset serving to enable other product teams to build robust applications. Design relational database schemas in Postgres and manage SQL migrations. Maintain and evolve testing pipelines, Docker builds, and rollout processes for backend services, leveraging blue/green or canary deployments as needed. Continuously improve our processes, tools, and systems that allow us to scale the code base, productivity, and our team. Conduct code reviews, pair-program on complex infrastructure changes, and evangelize backend and DevOps standards across the engineering team. You will work on projects that span critical business areas such as: Core Infrastructure - build the foundational platform for Greenline products and services to enable them to operate at scale. We drive reliability, availability, efficiency, and scalability of these systems. You’ll collaborate on a mix of platform, infrastructure, and product problems to ensure Greenline thrives in a heavily regulated industry. Data Integrations & Platform – ingestion, normalization, and analysis of third-party financial data from external data sources, including: Banking and asset data (Plaid, Finicity, MX) Tax and income data (IRS transcripts, W-2/ 1099 sources) Accounting platforms (QuickBooks, Xero, similar systems) You’ll own the data-serving infrastructure, including: Authentication and authorization Webhooks, de-duplication, and backfill strategies Rate limiting, retries, idempotency, and error classification Design integration layers that isolate vendor-specific behavior and support future provider swaps. Data normalization & canonical modeling Analytics & Applied ML Enablement – develop feature pipelines, validation, and productionizing signals. This is not a research role. This is an underdeveloped area at Greenline for the candidate to shape and own. Implement feature extraction pipelines suitable for downstream analytics and ML usage Develop in-house and apply off-the-shelf ML models and services (e.g., BERT, classification, clustering, anomaly detection) Collaborate with product and business stakeholders to translate model outputs into actionable insights Must-Have Skills Experience designing and operating: Data ingestion pipelines Event-driven or batch processing systems APIs that support downstream analytics Deep understanding of relational databases and data modeling (Postgres strongly preferred) Demonstrated ability to reason about: Data correctness and reconciliation Auditability and traceability Long-lived data contracts Solid understanding of ML fundamentals, including: Supervised vs. unsupervised learning Feature engineering concepts Model evaluation metrics (precision/recall, ROC, confidence intervals) Overfitting, bias, and data leakage Practical experience: Consuming ML models via APIs or SDKs Using statistical techniques to validate data outputs Debugging ML-driven systems without being the model author Comfort working with datasets using SQL, Python notebooks, or similar tools. Experience with monorepo tooling, ideally using yarn, npm, or pnpm workspaces. Track record of shipping high-quality products and leading projects at scale. Strong value of pragmatism in times of uncertainty and demonstrated ability to improvise with creative solutions when common approaches fail. Nice-to-Have Skills Experience with or interest in React or NextJS. Experience with GraphQL. Proficiency in TypeScript. Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply for jobs unless they meet every qualification. If your experience doesn’t align perfectly with every qualification above, we encourage you to apply. You may be the perfect candidate! Excited about this opportunity? Send us a note: hello@greenline.ai