Lead QA Automation Engineer

MOTER Technologies, Inc. (“MOTER”) is unlocking the world of connected vehicle data to power innovative products and services for the automotive, mobility, and insurance industries. Our edge‑computing‑based advanced data analytics and software platform transforms vehicle data into actionable insights that drive the next generation of driver scoring, risk analytics, and insurance solutions. MOTER is modernizing the insurance industry by equipping insurers with real‑time vehicle insights to enhance underwriting, streamline claims, and improve risk assessment.

To drive this transformation, MOTER is building white‑labeled insurance products for some of the most recognized brands in the automotive industry. These offerings leverage the full suite of MOTER’s connected vehicle data solutions—including next‑generation telematics and claims visualization tools—bridging the gap between automakers and insurers, accelerating innovation, and delivering measurable value across the mobility ecosystem.

MOTER is hiring a Lead QA Automation Engineer to own the quality bar across our connected vehicle data platform and the products built on top of it. This is a hands‑on technical leadership role for an experienced test engineer who combines automation architecture, AI‑first toolchain design, and execution. The role will design and build MOTER’s automation testing toolchain across web, mobile, and API services;

codify the testing patterns that enable humans and AI coding agents to generate reliable tests at high velocity; and partner closely with engineering, product, and platform teammates to deliver trustworthy software. The Lead QA Automation Engineer will also mentor and coach QA engineers, establish QA infrastructure and best practices, and help the team move faster without sacrificing quality. The Lead QA Automation Engineer reports to the Director of Engineering.

• Own MOTER’s end‑to‑end quality strategy across web, mobile, and backend services, including test plans, coverage targets, environments, and exit criteria.
• Lead technical design discussions and RFCs on testability, automation architecture, and release strategy, making pragmatic trade‑offs between speed, maintainability, and long‑term product quality.
• Guide framework and tooling decisions across the test automation stack, including upgrades, shared test libraries, runtime performance, and engineering experience for all contributors who write tests.
• Set a high bar for test code quality, documentation, code review of test code, and definition of done across the engineering team.
• Contribute meaningfully to the automation codebase as a hands‑on technical leader.

• Design and build MOTER’s AI‑first automation toolchain – pipelines, prompts, MCP servers, custom subagents, and harnesses that enable Claude Code, Codex, and other AI coding agents to generate, refactor, and maintain tests reliably.
• Treat test code as a product: architect frameworks, page objects, fixtures, mocks, and data factories so an AI agent can read the system under test and produce a draft a human only needs to review — not rewrite.
• Evaluate, choose, and integrate AI‑assisted QA tooling including model‑based test generation, self‑healing selectors, AI‑driven visual diff, and intelligent flake detection.
• Define guardrails for AI‑generated test code: review processes, quality gates, security boundaries, and metrics that confirm AI‑generated tests are improving — not degrading — overall quality.

• Design, build, and maintain MOTER’s web UI automation suite using Playwright, Cypress, and/or Selenium, with a clear perspective on which tool is most effective in a given context.
• Own mobile test automation on Android using Appium and Espresso, including device strategy across real devices and cloud farms such as Browser Stack, Sauce Labs, or Firebase Test Lab.
• Build and harden API and contract tests (REST and Graph
  
  QL) for our backend and establish consistent standards for visual quality and release confidence.

• Build the QA…