Senior Software Engineer in Test

Field Ai
Irvine, CA
On-siteCareer-pivot friendly

Who this role is best for

Aimed at senior software engineering professionals with deep Playwright expertise who thrive in collaborative, technical environments.

Best fit for

  • Senior engineers with strong Playwright and CI/CD experience who advocate for automation in development processes
    — “embedding with developers, reviewing PRs for testability, and advocating for automated coverage over manual QA
  • Individuals with a background in robotics or hardware-adjacent software, particularly in testing physical systems or simulations
    — “Background working in robotics, IoT, or hardware-adjacent software spaces

Things to consider

  • This role demands a high level of technical autonomy and ownership of test quality across complex systems
    — “Aligning Test Quality with Production Quality by identifying testing gaps

How to stand out

  • Highlight your contributions to improving test coverage and developer workflows in prior roles
    — “embedding with developers, reviewing PRs for testability
  • Showcase experience with Playwright in complex environments, such as microfrontends or real-time data apps
    — “Experience building Playwright infrastructure for large or complex products
  • Demonstrate your ability to debug web APIs and interact with hardware or simulation systems
    — “debug network calls, inspect DOM elements, and write automated tests directly against REST or GraphQL APIs
  • Emphasize your proficiency in CI/CD pipeline integration for automated testing
    — “managing CI/CD pipelines (e.g., GitHub Actions, GitLab CI, CircleCI)
  • Position yourself as an expert in scaling test environments using cloud and Docker tools
    — “Advanced Docker and cloud infrastructure experience (AWS/GCP)
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • high test coverage
  • reliable automated tests
  • efficient CI/CD integration
Typical background
software engineeringtest automationweb development

Skills & requirements

Required

Software EngineeringPlaywrightCi/cd PipelinesAutomated TestingWeb Architectures

Preferred

RoboticsIotCloud InfrastructureDocker

Stack & domain

TypeScriptJavaScriptPlaywrightPage Object ModelsNetwork Interception/mockingCustom FixturesMulti-auth State HandlingModern Web ArchitecturesRESTGraphQLCi/cd PipelinesGithub ActionsGitlab CICircleciDockerCloud InfrastructureAWSGCPScaling Test AgentsOrchestrating Localized EnvironmentsPlaywright InfrastructureMicrofrontend ArchitecturesReal-time Data Streaming Web AppsDashboard SystemsHigh-frequency State UpdatesRoboticsIotHardware-adjacent SoftwareAutomated Ui/api TestsPhysical DevicesHardware EmulatorsSimulation EnvironmentsShift-left Engineering MindsetEmbedding With DevelopersCode ReviewTestabilityAutomated CoverageManual QADebuggingNetwork CallsDOM ElementsAutomated TestsCI/CDScalingOrchestrationTest QualityProduct ObservabilitySoftware EngineeringWeb DevelopmentAutomationTestingAutomated Testing

About the role

Original posting from Field Ai via Lever

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Learn more at https://fieldai.com.

Compensation:

What You’ll Get to Do

Design, build, and maintain a scalable automated testing framework using Playwright and TypeScript, treating test infrastructure with the exact same engineering rigor as production code.

Embed directly within Product Engineering teams, shifting testing left by collaborating during the technical design phase to define test strategies and data-testid selectors before features are coded.

Own the continuous delivery (CD) gateway, optimizing Playwright parallelization, sharding, and containerization to keep PR build times fast, stable, and clear of flaky tests.

Bridge the gap between cloud services and robotics simulation, writing end-to-end tests that mock, stub, or interact with simulated robot APIs to validate complex mission-scheduling and data-ingestion workflows.

Architect robust test-data management strategies, implementing efficient setup and teardown hooks to ensure test environments remain pristine across high-frequency browser and API test runs.

Build observability and reporting tooling (e.g., custom Playwright reporters or dashboards) that gives engineering teams immediate, actionable visibility into regressions and product health.

What You Have

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience).

5-8 years of experience.

Strong software engineering fundamentals, with professional experience writing clean, maintainable code in TypeScript, JavaScript, or another modern object-oriented/functional language.

Deep hands-on experience with Playwright, including advanced patterns like Page Object Models, network interception/mocking, custom fixtures, and multi-auth state handling.

A "shift-left" engineering mindset, with a proven track record of embedding with developers, reviewing PRs for testability, and advocating for automated coverage over manual QA.

Solid understanding of modern web architectures and APIs, including the ability to debug network calls, inspect DOM elements, and write automated tests directly against REST or GraphQL APIs.

Experience managing CI/CD pipelines (e.g., GitHub Actions, GitLab CI, CircleCI) and integrating automated test execution seamlessly into developer delivery workflows.)

The Extras That Set You Apart

Experience building Playwright infrastructure for large or complex products, such as microfrontend architectures, real-time data streaming web apps, or dashboard systems handling high-frequency state updates.

Background working in robotics, IoT, or hardware-adjacent software spaces, where automated UI/API tests interact with physical devices, hardware emulators, or simulation environments.

Advanced Docker and cloud infrastructure experience (AWS/GCP), specifically around scaling test agents or orchestrating localized environments for isolated end-to-end testing.

Aligning Test Quality with Production Quality by identifying testing gaps and improve product observability.

Source: Field Ai careers (Lever)

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