Software Engineer II — Build AI-Driven Mortgage Ops

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New York (NY)

Hybrid

USD 90,000 - 140,000

Full time

14 days+
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Benefits offered by this job

Equity stake
401(k) plan
Comprehensive health, dental, vision
Commuter benefits
Learning & development
Team outings & events
Generous time off

Job summary

Valon is building the AI-native operating system for regulated finance, starting with mortgage servicing. We’re seeking engineers to design and scale a modern platform, with offices in NYC and San Francisco and full remote options available.

You’ll work on a Python/React stack, and influence the evolution of a high-impact, regulated domain. You will collaborate with a tight-knit team to deliver scalable systems, explain technical decisions, and own meaningful pieces of our mortgage servicing

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 1 year of software engineering experience building quality software at scale.
  • Experience with web/mobile development or large-scale distributed systems.
  • Ability to work cross-functionally to balance product and technical requirements.

Responsibilities

  • Learn new concepts quickly and apply them to challenging problems.
  • Design and build robust infrastructure for evolving regulations.
  • Dive deep to understand a highly complex industry.
  • Collaborate with Product and Design to deliver great customer experiences.

Skills

Python
React
Distributed systems
Cross-functional collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Docker
Kubernetes
Google Cloud Platform

Job description

Valon is building the AI-native operating system for regulated finance, starting with mortgage servicing. We’re seeking engineers to design and scale a modern platform, with offices in NYC and San Francisco and full remote options available.

You’ll work on a Python/React stack, and influence the evolution of a high-impact, regulated domain. You will collaborate with a tight-knit team to deliver scalable systems, explain technical decisions, and own meaningful pieces of our mortgage servicing

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