Senior Fullstack Engineer

place

United States

On-site

USD 120,000 - 190,000

Full time

4 days ago
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Job summary

PLACE is seeking a Senior Fullstack Engineer to partner with the CTO and executives to build and scale our mortgage technology platform. You will ship features end-to-end across Rails APIs, TS/Node services, GraphQL gateway, and React frontends, with a focus on backend systems, third‑party integrations, and secure multi‑tenant data handling.

You’ll lead architectural decisions, champion observability, and mentor engineers while advancing AI‑assisted tooling and scalable design patterns in a

Qualifications

  • 7+ years building and running production web applications.
  • Strong backend focus with Rails API services and TypeScript.
  • Experience with multi‑tenant data isolation and third‑party integrations.

Responsibilities

  • Design, build, and maintain features across Rails API services, TS/Node services, a GraphQL gateway, and React frontends.
  • Own integrations with external platforms (LOS systems, mortgage providers, e‑sign vendors) including data mapping and reconciliation.
  • Design and evolve asynchronous workflows using message queues and background jobs.
  • Maintain multi‑tenant platform security and partner boundaries across queries and events.
  • Lead technical design via design docs and architecture decisions before coding.
  • Mentor engineers through pairing, code reviews, and AI‑assisted workflows.

Skills

Ruby on Rails
React
TypeScript
GraphQL
PostgreSQL
Background jobs
RSpec
REST APIs
Distributed systems
Security

Tools

RabbitMQ
SNS/SQS
Sidekiq
Docker
AWS

Job description

Senior Fullstack Engineer

Your Opportunity:

At PLACE, we're building a category-defining company at the intersection of real estate, technology, business services, and the consumer. As a profitable, hypergrowth startup on the path to an IPO, our standards are high, our team is scrappy, and our commitment is to execute the best work of our lives.

This is YOUR CHANCE to shape the backbone of a company that's scaling rapidly and innovating boldly. As our Senior Fullstack Engineer, you'll partner with the CTO, founders, and executives to build and scale our mortgage technology platform, shipping features end to end across a mix of microservices and monolith architectures, with a focus on backend systems and third-party integrations. If you thrive in complexity, entrepreneurial problem-solving, and believe in scaling through tech and AI, this is your PLACE.

Who Develops You: CTO
What You're Great At:

You are a seasoned engineer with 7+ years building and running production web applications, and you take a problem from a vague description to a shipped, monitored solution. You go deep on Ruby on Rails, including API-only services, ActiveRecord, PostgreSQL, background jobs, and RSpec. You're also comfortable shipping polished UI with React and TypeScript, and you've worked with GraphQL (ideally Apollo) on both server and client.

You've built distributed, event-driven systems and know how to debug failures that span services, using retries, idempotency, and eventual consistency. You've also tamed third-party integrations (REST, SOAP, webhooks) and partner APIs that are slow, inconsistent, or poorly documented. You treat sensitive personal and financial data with care and have strong instincts for security and multi-tenant data isolation.

You use AI and agentic coding tools at an advanced level every day, can describe how you structure context for agents and verify what they produce, and you build tooling that makes other engineers more effective. You communicate clearly: you can write a strong design doc, explain a production incident to a customer success manager, and disagree productively with a product manager. You own production through on-call, incident response, observability, and blameless postmortems.

Bonus points if you have experience in mortgage tech or a similar regulated, integration-heavy domain (fintech, lending, insurance, payments, healthcare), familiarity with LOS platforms (Encompass, MortgageBot, Byte) or MISMO standards, Node.js/TypeScript services, Elasticsearch, Redis, Docker, AWS, CI/CD, saga or workflow orchestration patterns, or a history of mentoring engineers and leading cross-team projects.

What You'll Do:

Design, build, and maintain features across Rails API services, TypeScript/Node services, a GraphQL gateway, and React frontends

Own integrations with external platforms (LOS systems, mortgage insurance providers, document and e-sign vendors), including data mapping, sync and reconciliation, retries, and idempotency

Design and evolve asynchronous, multi-step workflows using message queues (RabbitMQ, SNS/SQS), Sidekiq background jobs, and saga-style orchestration

Keep our multi-tenant platform correct and secure, respecting partner boundaries in every query and event

Lead technical design for significant features by writing design docs and architecture decision records, weighing trade-offs, and building alignment before you build

Identify and pay down technical debt, improving service boundaries, module design, test coverage, and developer experience

Hold a high bar in code review and help set engineering standards across the team

Join the on-call rotation, lead incident response, and follow through on root‑cause fixes that prevent recurrence

Use observability tools and CI/CD to keep the platform healthy, and improve them where they fall short

Work directly with Customer Support & Success on lender-reported escalations, reproducing issues, investigating sync problems with external LOSs, and explaining findings clearly to non-engineers

Partner with Product Managers to refine requirements, uncover edge cases early, and propose simpler alternatives

Work with UI/UX Designers to turn designs into polished, accessible interfaces, and push back constructively when technical constraints affect the experience

Mentor other engineers through pairing, code review, and design feedback, including on effective AI‑assisted workflows

Lead on AI‑assisted engineering by using agentic coding tools (Claude Code, Cursor, Codex) daily to plan, implement, test, debug, and review, and by delegating well‑scoped work to agents and reviewing their output rigorously

Build and maintain shared AI tooling for the team, including agent instruction files (CLAUDE.md/AGENTS.md), reusable skills and prompts, MCP servers connecting agents to internal systems, and automated workflows

Set and follow guardrails for AI use: verify agent output, never expose secrets or customer data, and know when a tas

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