Senior Software Engineer, QA

Ruxlo; Manasquan (NJ); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Ruxlo is seeking a senior QA-focused software engineer to establish automated testing across the stack, from data pipelines to AI-driven features, with a strong emphasis on quality as code and integration into CI/CD. The role combines software engineering with a QA mindset to automate away manual testing and set scalable patterns for the team.

You'll own end-to-end testing, mentor teammates, and build the first automated coverage and guardrails as the company scales in a hybrid Manasquan, NJ

Qualifications

• Deep hands-on experience building automated tests at unit, integration, and end-to-end levels.
• Formal QA experience with a tester's instinct across full stack (integration, data, backend, web/mobile).
• QA as code: tests and infrastructure live in version control and are maintainable.

Responsibilities

• Build the safety net from zero by establishing meaningful automated coverage and testing patterns.
• Automate every layer: test data pipelines, API/services, and end-to-end flows for web and mobile.
• Test AI features with evals and automated checks for non-deterministic systems.
• Wire quality into CI/CD by making tests automated release gates and fast to run.
• Set testing standards and patterns the team will adopt as it scales.

Skills

Automated testing across stack

QA as code

AI-native testing

Full-stack understanding

React/Next.js knowledge

Tools

Playwright/Cypress-based E2E

API testing

Mocking/fixtures

CI/CD integration

Job description

About Ruxlo

LinkedIn is your professional network. Facebook and Instagram are your social networks.

Ruxlo is your Home's Network.

Your Home. Your Neighborhood. Your Town.

At the center of Ruxlo are 150 million property profiles. Most of what happens to a house is forgotten, and what survives is scattered across a county filing, a shoebox of receipts, and the memory of whoever owned the place three families ago. We're replacing that with one durable record attached to the parcel itself. Work is recorded by the contractor who did it and confirmed by the owner who paid for it. When the house sells, the record stays — think CARFAX for homes.

Around the property are your neighbors who you can connect with, see their property profiles and the contractors they've used. Further out is your town, where you choose notifications such as farmers markets, recycling or bulk waste pickup.

We're early-stage, backed by an experienced SaaS founder — a unique opportunity to help define a category at the intersection of AI, data, and the largest asset class in the country.

The Role

Today quality is manual and owned by everyone, which means no one. You'll be our first dedicated quality hire, here to make automated testing a first-class part of how we build.

This is a software engineer first, with a quality mindset — not a traditional QA seat. You automate your way out of manual QA: you'd rather build the harness that kills a class of bugs than click through the same flow twice. You also bring formal QA experience, so you know how to vet the full stack the way a tester does — integration → data → backend → frontend (web and mobile) → AI — and what actually needs verifying at each layer.

It's a build-from-zero, senior IC role. No test suite waits for you and no playbook to inherit — you'll set the first automated coverage, the CI gates, and the patterns the rest of engineering adopts. The standards you set early become how we test as the team scales.

What You'll Do

Build the safety net from zero. Establish our first meaningful automated coverage and testing patterns where little exists today — prioritizing the flows and risks that matter, not coverage for its own sake.

Automate every layer. Own quality as code across the platform: data-pipeline/ETL validation, API and service tests for our C#/.NET and Python backends, and end-to-end flows for the React/Next.js web app and mobile — all versioned, reviewed, and run like production code.

Test our AI features. Design evals and automated checks for AI-assisted search and agent-driven features — measuring quality, regressions, and cost on non-deterministic systems, not just pass/fail.

Wire quality into CI/CD. Integrate tests as automated release gates so regressions are caught before staging, with results that are fast, reliable, and trusted.

Focus on risk, not busywork. Decide what to test and why, then build the automation that enforces it. Lean on AI-assisted and self-healing tooling so the work stays about coverage strategy, not babysitting brittle scripts.

Set the standard. Make the build-vs-buy-vs-hire calls, and let the tooling and patterns you establish become the team's default.

Position Requirements

Quality Expertise (the core of this role)

• Deep, hands-on experience building automated tests at every level — unit, integration, and end-to-end — not just running them.


• Formal QA experience and a tester's instinct: you know how to vet a feature across the full stack (integration, data, backend, web/mobile) and what needs verifying at each layer.


• A "QA as code" philosophy: tests and infrastructure live in version control, get code-reviewed, and are built for maintainability.


• Fluency with modern test tooling (Playwright/Cypress-class E2E, API testing, mocking/fixtures) and a habit of picking the right tool per layer.

Engineering Craft

• 5+ years as a software engineer with a fullstack mindset — comfortable moving across the stack, not living in one layer.


• Strong coding ability in at least one of TypeScript/JavaScript, C#/.NET, or Python, and productive in the others.


• Experience integrating automated tests into CI/CD pipelines as reliable quality gates.

Ownership & AI-Native

• Able to own an area end-to-end with limited guidance and establish patterns from scratch.


• AI-native by default: you use AI tools to multiply your output — and verify what they produce.

Preferred Skills

• Founding-team or early-stage experience building a quality function from zero on a lean team.


• Familiarity with agentic and AI-native testing tooling (e.g. Momentic, self-healing E2E frameworks).


• Experience evaluating AI/LLM features — evals, golden datasets, or regression harnesses for non-deterministic systems.


• Automated mobile testing (iOS/Android).


• Data / ETL / pipeline testing and data-quality validation.


• Performance, load, or security testing exposure.


• Contract testing, observability, and using production signals to inform coverage.


• Proptech, real estate, fintech, geospatial, or SaaS data-product experience.

*Candidates able and willing to work hybrid Manasquan, NJ strongly preferred

Ruxlo LLC is an Equal Opportunity Employer.

AI disclosure: As part of our recruiting process, Ruxlo may use AI-assisted tools to help screen, review, and organize applications, as well as to support scheduling and communication. These tools assist our team and all final hiring decisions are made by humans. We work to ensure these tools are used fairly and without unlawful bias. If you have questions about how AI is used in your application, would like to request a reasonable accommodation or an alternative review process, please contact us at [phone].