Build with the studio.

What you will do

Build, maintain, and validate automated testing workflows for mobile, web, and internal QA systems. You will write automation code, debug failed test runs, validate results, and help integrate AI-assisted tooling into practical QA workflows.

Responsibilities

• Build and maintain automated tests for mobile applications and device-based workflows.
• Write Python scripts, test runners, validators, and reporting tools.
• Work with Appium, Selenium, WebDriver, WDA, XCUITest, Android tooling, or similar automation frameworks.
• Debug automation failures across devices, apps, logs, APIs, and test infrastructure.
• Support React-based QA dashboards and internal tools as needed.
• Integrate AI-assisted testing tools using existing APIs, prompts, structured outputs, or internal services.
• Review screenshots, logs, OCR output, device behavior, and test results.
• Clearly document bugs, regressions, edge cases, and automation failures.

Requirements

• 3+ years of experience in QA automation, software engineering, mobile testing, or a related technical role.
• Strong programming ability in Python.
• Experience with mobile automation frameworks such as Appium, Selenium, WebDriver, WDA, XCUITest, or Android automation tooling.
• Familiarity with React for internal dashboards, tools, or frontend debugging.
• Familiarity with Hack/PHP or willingness to work within a Meta-style backend stack.
• Strong understanding of APIs, logs, debugging workflows, and test infrastructure.
• Ability to investigate failures across app behavior, automation scripts, device state, and backend systems.
• Strong written communication for bug reports, regression summaries, and technical findings.

Nice to have

• Experience testing or automating AR, VR, or XR devices.
• Experience with physical device labs, mobile device farms, or hardware-adjacent QA.
• iOS and Android automation experience at scale.
• Familiarity with screenshot comparison, image diffing, OCR, or visual validation workflows.
• Experience integrating AI tools or LLM APIs into QA workflows.
• Experience with structured AI outputs, prompt-based validation, or automated report generation.
• Experience with internal developer tools, dashboards, or test orchestration systems.

Benefits

• Medical, dental, and vision coverage.
• 401(k) matching.
• Full-time benefits package.
• Devices shipped to you as needed for validation and debugging.

Hiring process

• Intro call.
• Technical screen.
• Team and project discussion.

What you will do

Ship features across the full stack: web UI, backend services, AI pipelines, and automation integrations. You will work directly with clients to turn testing workflows into product features, and you will write code every day across React frontends, Python services, and PHP backends.

Responsibilities

• Build web features such as dashboards, test-run viewers, diff tools, and reporting interfaces.
• Design and implement backend APIs for job orchestration, storage, auth, and integrations.
• Build AI pipelines using LLM calls, RAG, structured extraction, and evaluation or verification loops.
• Integrate automation systems such as Appium, WebDriver, WDA, and device-log workflows.
• Work across multiple codebases and move features from rough workflow requirements into shipped software.
• Collaborate directly with engineering leads, QA teams, and clients to validate product behavior.

Requirements

• 3+ years building production software applications.
• Strong full-stack fundamentals: HTTP, APIs, auth, databases, and caching.
• Strong frontend experience with React and TypeScript.
• Backend experience with Python and PHP.
• Comfortable debugging across UI, backend services, AI workflows, and automation systems.
• Hands-on builder mindset; this is a coding role, not a planning-only role.

Nice to have

• LLM integration experience with OpenAI APIs, prompt engineering, evals, or internal AI tools.
• Experience with RAG, embeddings, or vector databases such as FAISS, pgvector, or Pinecone.
• Experience with media processing such as image diffing or OCR.
• Mobile automation experience across Android, iOS, Appium, Selenium, WebDriver, or WDA.
• Experience building backend or internal tools through MCP or similar integration patterns.

Benefits

• Medical, dental, and vision coverage.
• 401(k) matching.
• Full-time benefits package.

Hiring process

• Intro call.
• Technical screen.
• Team and project discussion.

What you will do

Own architecture decisions for platform, AI, and automation systems while staying close enough to the code to unblock critical-path work. You will shape service boundaries, data flows, deployment models, reliability strategy, and engineering standards for systems that need to scale beyond demos.

Responsibilities

• Design system architecture across services, data flows, interfaces, and deployment models.
• Set engineering standards for repo structure, CI/CD, testing, code quality, and observability.
• Design job execution systems including queues, workers, isolation, concurrency, and resource controls.
• Define reliability practices such as SLOs, incident readiness, scaling strategy, and operational visibility.
• Shape security architecture across authn/authz, secrets management, audit logging, and permissions.
• Make pragmatic build-vs-buy decisions and choose boring technology that wins long-term.
• Write high-quality code when architecture decisions need implementation, validation, or critical-path support.

Requirements

• 8+ years of software engineering experience with significant architecture ownership.
• Experience designing and operating production systems across web, services, and data pipelines.
• Strong system design fundamentals: async jobs, distributed systems, data modeling, and scaling.
• Comfortable with cloud, containers, and deployment workflows across AWS or GCP, Docker, and Kubernetes basics.
• Ability to write high-quality code when needed; this is a hands-on architecture role, not just diagrams.
• Good judgment around tradeoffs, technical debt, platform boundaries, and long-term maintainability.

Nice to have

• Experience with AI or ML systems in production, including LLM inference, eval pipelines, or RAG.
• Experience with test automation infrastructure such as device farms, flaky test handling, or results attribution.
• Security architecture experience with SOC 2 thinking, least privilege, and auditability.
• Internal platform, developer tooling, or automation infrastructure experience.

Benefits

• Medical, dental, and vision coverage.
• 401(k) matching.
• Full-time benefits package.

Hiring process

• Intro call.
• Technical screen.
• Architecture and project discussion.