Senior Software Engineer, QA

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.

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.

• 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.

• 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.

• 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 (848) 321-5588.