Software Engineer

Auction.com•Irvine, CA

8d•$103,700 - $140,000•Hybrid

About The Position

At Auction.com, we’re transforming real estate. As the nation’s leading online platform for buying and selling residential bank-owned and foreclosure properties, we connect buyers, sellers, and investors with innovative technology. With over $70 billion in assets, our success is driven by a culture of innovation, collaboration, and impact. We go beyond the bid—empowering our people to thrive and shape the future of the industry. We run one of the largest digital marketplaces in residential real estate, where buyers, sellers, servicers, and agents transact on real property with real money at stake. Every listing that moves through our platform touches valuation, bidding, contracts, payments, and a long list of external systems, and the platform keeps evolving to meet the needs of the market. We’re hiring full stack engineers to build that platform. You’ll work in React and TypeScript on the front end, Node, Kotlin, and GraphQL services behind it, running on AWS and Kubernetes. You’ll own features end to end: design, build, test, ship, and support them in production.

Requirements

Roughly 3+ years building and shipping production software
React, or another modern component framework you can translate from
Node.js or Kotlin/Java backend services, with REST or GraphQL APIs
Hands-on experience in AWS or a comparable cloud
Enough comfort with Docker and Kubernetes that a container deployment isn’t a black box
Automated testing as a habit rather than a phase
Working knowledge of CI/CD, plus relational and NoSQL data stores
Judgment about performance, scalability, and security, and the instinct to ask about them before shipping
Genuinely curious about AI and emerging technology space and want to apply it to real customer problems.

Nice To Haves

Background in fintech, proptech, real estate, mortgage, lending, payments, e-commerce, or marketplaces
Experience with high-volume transactional systems
Microservices, distributed systems, or event-driven architecture
Experience on a team where engineers owned both delivery and quality
LLM and generative AI application work
AI API integrations
AWS Bedrock or comparable platforms
Retrieval-augmented generation
Conversational interfaces
Agent and workflow automation
Personal AI/ML projects

Responsibilities

Own features end to end: design, build, test, ship, and support them in production.
Ship customer-facing features and the services that power them, usually in slices small enough to get in front of users quickly.
Test what you build, including automated coverage at the unit, integration, API, and end-to-end levels, wired into CI.
Debug real problems in production.
Participate in design discussions and code reviews.
Work directly with product, UX, data, and other engineers.
Build AI-enabled features, applying LLMs into customer and internal workflows.