Senior Software Development Engineer in Test

Overview

Lead test automation for AI-driven construction software across frontend, backend, data pipelines

Key Responsibilities

• testing culture
• test automation
• automation integration
• ci/cd
• regression suite
• performance testing

Tasks

-Guide and support engineers in building a strong testing culture with practical, scalable best practices -Own and scale test automation across frontend, backend, and data pipelines to support fast, reliable releases -Embed automation early, ensuring testing accelerates development instead of slowing it down -Streamline CI/CD, integrating automated regression, load, and chaos testing for dependable deployments -Create and refine greenfield regression suites that evolve with the product -Develop UI and API test suites that push the limits of performance using Three.js, DuckDb, and WebAssembly

Requirements

• bachelor’s
• typescript
• api testing
• jmeter
• ci/cd
• playwright

What You Bring

-Bachelor’s degree in Computer Science or related technical field -6+ years of hands-on coding in TypeScript, Python, or Java, building and extending test frameworks -Strong backend API testing skills, including database validation and large-scale data pipeline testing -Knowledge of performance testing tools (k6, Locust, JMeter) and security best practices -Proficiency in CI/CD (GitHub Actions, CircleCI, Buildkite) and infrastructure-as-code testing -Experience testing high-performance frontend applications (WebGL/Three.js, WebAssembly, client-side databases) -4+ years in test automation frameworks (Playwright, Cypress, Selenium, PyTest, Jest, JUnit)

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About Doxel

-Founded in 2016 in Menlo Park with a vision to eliminate guesswork in construction progress tracking. -Using drones and indoor rovers, captures 360° scans of job sites and feeds them into an AI engine linked to BIM, schedules, and budgets. -Software autonomously measures installed quantities, visualizes progress in 3D, and predicts finish dates. -Providers of solutions for commercial buildings, infrastructure, industrial facilities, and data center developments. -Clients include major general contractors and owners, with deployments across the U.S. -Powered by TensorFlow, PyTorch, and VSLAM, blending computer vision, deep learning, and cloud-scale data pipelines.

Sector Specialisms