Product Engineer

Responsibilities: Own outcomes end to end: take a customer workflow or application problem from discovery and design through implementation, validation, release, and production follow-up. Architect with judgment: translate business goals into technical options, acceptance criteria, and a practical delivery plan; produce clear designs for substantial changes, seek feedback early, and make explicit trade-offs between customer value, delivery time, quality, and maintainability. Build the shared platform: develop reusable services and APIs for document processing, financial data, and mortgage loan application workflows, with clear contracts, tenant isolation, configuration, observability, and a practical path for existing applications to migrate onto the platform. Build across boundaries: implement frontend, backend, data, and integration changes, including REST or GraphQL APIs, asynchronous workflows, data-heavy user interfaces, and relational data models and migrations, collaborating with specialists where appropriate. Prevent escaped defects: define meaningful automated test coverage, review edge cases with the Quality Engineer, and own code through review, deployment, secure configuration, and monitoring. Troubleshoot and improve: lead investigation of complex defects and incidents across application code, data, queues, integrations, and cloud infrastructure; communicate impact clearly, document root cause, and deliver durable fixes. Partner with stakeholders: work with business, design, quality engineering, and security to clarify workflows, surface customer and delivery risks, and turn strategic initiatives and customer commitments into achievable increments. Raise the team’s standard: review code and designs, mentor peers, document decisions, and improve developer tooling and delivery practices. Use AI responsibly: apply AI tools to explore requirements, prototype, write and review code, generate tests, and investigate failures, while choosing appropriate tools and models, managing context and cost, protecting customer and company data, and independently verifying the results.

Qualifications: Proven ownership: at least 7 years of experience building and operating production software, with a record of designing and shipping complex features or systems and being able to explain the decisions, trade-offs, and post-release results. Agentic engineering (required): hands-on experience with agentic engineering or AI-driven development in software delivery, including reviewing, testing, and maintaining AI-generated work. Full-stack depth: strong production experience with TypeScript/JavaScript, modern frontend development, APIs, and backend services (Node.js, React, C#/.NET, or Ruby valued; equivalent depth in a comparable stack welcome), plus strong data modeling, testing, and debugging skills. Platform and cloud fluency: understanding of multi-tenant SaaS and PaaS architecture, authorization, and auditability, and working experience with AWS (or equivalent), CI/CD, containers, and production monitoring. Clear communication: the ability to explain a technical solution to business and technical stakeholders in clear English, and to communicate directly about risks, estimates, incidents, and trade-offs. Domain curiosity: experience in financial services, document processing, workflow systems, or legacy modernization is valuable; the ability to learn the domain quickly is essential. Independent and aligned: comfortable working independently in a small team as requirements evolve, on an agreed schedule with substantial overlap with US Eastern business hours.