Senior Software Development Engineer in Test

Qualia•Austin, TX

7d•Hybrid

About The Position

At Qualia, we've built the leading B2B real estate technology that transforms the home buying and selling experience into a simple, secure, and enjoyable process. Our SMB and Enterprise products bring together users from across the real estate ecosystem---homebuyers and sellers, lenders, title and escrow agents, and real estate agents---onto a single shared digital closing platform, providing greater clarity and transparency to real estate transactions. Today, through our business customers across the country, millions of consumers use Qualia to close on homes every year. We are hiring pioneering and collaborative engineers to build our next generation of intelligent products. Our quality engineers are conscientious hackers who thrive on collaboration and are adept at driving large-scale projects in the fast-changing domain of artificial intelligence. You will help build the automation, tooling, and quality systems that let us ship complex, AI-driven products with confidence, bringing rigor and trust to a data-rich industry. As a Senior SDET, you're a software engineer first, you build test infrastructure and tooling, not manual test cases or scripting of the test case. You can take a hard, loosely-defined problem and solve it, and you're trusted to make the technical calls on framework and strategy at every layer of the testing pyramid along with the Engineering leadership, from unit to end-to-end. You work closely with the engineering team, understand the systems you're testing at a deep technical level, and mentor other engineers on writing better tests, tooling, and infrastructure code

Requirements

5+ years of experience as a software engineer building test infrastructure, developer tooling, or release engineering systems, not just writing test cases or scripting
Strong programming ability in JavaScript/TypeScript, and can design and build backend services and tooling for test infrastructure from scratch
Experience building or scaling CI/CD systems, release orchestration pipelines, or test infrastructure (environment management, test parallelization, execution frameworks) at a systems level
Understand the testing pyramid and have experience choosing the right automation approach and tooling for each layer
Experience building observability or monitoring into test frameworks, tracking flakiness, execution trends, and failure signals to drive automation reliability
Hands-on experience using AI tools in the quality workflow, from test generation to flaky-test triage
Comfortable mentoring junior engineers and raising the quality bar on the teams you work with
Thrived in fast-moving engineering environments and enjoy solving hard infrastructure and tooling problems independently

Nice To Haves

Experience with Cypress
Experience with Playwright
Experience with AI agentic framework
Experience with Jest
Experience with Postman
Experience with REST Assured
Experience with Locust/Gatlin/JMeter/k6
Experience with Jenkins/GitHub Actions/ArgoCD/Spinnaker/Harness
Experience with Datadog or equivalent
Experience with MongoDB
Experience with Microservice architecture
Experience with Kubernetes
Experience with AWS
Experience with Google Cloud

Responsibilities

Build and maintain test infrastructure, release orchestration tooling, and performance testing systems as production-grade software, not scripts
Design and build test automation frameworks, including migration from Cypress to Playwright, and own core infrastructure such as test environment provisioning, parallelization, and CI/CD test execution at scale
Define the right automation framework and strategy at each layer of the testing pyramid: unit, integration, API, and end-to-end, so coverage lives at the layer where it's fastest and most reliable
Partner on maintaining release orchestration tooling, the systems that manage build promotion, deployment gating, and rollback across environments
Build observability into test frameworks and scripts themselves, tracking flakiness, execution time, and failure patterns to measure and improve the reliability of automation
Dig into challenging engineering problems, from flaky test infrastructure to AI-assisted testing tooling, and see work through from design to deployment
Identify and pursue impactful work with real autonomy