linro - Test Engineer (all genders) - Remote Germany or Hungary

Remote - Europe€62k - €90k+ Equity2w ago

Remote Mid EMEA Artificial Intelligence Test Engineer Go TypeScript Reporting Playwright Kubernetes

Requirements

• 4+ years in test or quality engineering for distributed backend or cloud products. You write and review real code. We use Go and TypeScript, but any language works. • You use AI coding agents daily and have a view on how tests become the control layer when agents write the code. • Strong written, async communication and the judgement to call a failure a product bug, a test bug or environment noise. • End-to-end testing, built and operated. You know how end-to-end tests really work across UI, APIs and the infrastructure underneath, and you have run them as pipelines yourself: nightly and pre-release runs against live environments, test data and environment setup, flaky-test handling and reporting that people trust. Playwright or similar tooling. • API, integration and frontend testing: gRPC or ConnectRPC services and the databases behind them, plus component and UI tests for a TypeScript web frontend. • A strategy for correctness-critical logic: golden files, property-based and differential testing, and a habit of asking what a false "compliant" would cost. • Hands-on cloud, Terraform and Kubernetes with Helm, including ephemeral environments and keeping cloud cost in check. • Hands-on experience with Terraform, Kubernetes and Helm. • Cloud control-plane or IAM knowledge, or a security testing background. • Experience testing MCP servers or LLM-agent flows (non-deterministic evals). • We work remotely across Europe. We get the whole team together in person somewhere in Europe once a quarter for a few days. We work async by default, write things down, and protect people's focus time. Engineers here ship with AI agents every day, so review and tests carry more weight than in most teams.

Responsibilities

• Own the test strategy and the regression platform: nightly, pre-release and production runs against live installs, with reporting people trust and a clear line between environment noise and real regressions. We use Playwright today; the tooling is your call as long as it works and is easy to operate. • Own the correctness of the policy engine: build a reference set of test cases with known expected results, plus property-based and differential tests, so policies evaluate the same way across past, present and simulated future state. • Run the test environments: real sandbox cloud accounts, cloud emulators, capacity and cost per environment. • Own the CI quality gates in GitHub Actions, and review the tests and changes our AI coding agents produce. • Extend coverage across the web frontend (components and user flows), the plugins and integrations, the MCP server and the guardrails agents call, including basic security testing.

Benefits

• Real ownership. You are the first dedicated quality hire: you design the strategy, own the platform and have a say in how we build. • Meaningful equity. You are an early employee, and your stake reflects it. • Competitive salary, benchmarked to the market. • A quarterly European offsite, and a team that takes both the mission and each other's time seriously. • THE HONEST VERSION • This is early. Our regression platform is real but still being rebuilt: some environments are noisy, some tests are parked, and some coverage does not exist yet. There is no test plan waiting for you to execute. If you want a mature QA organisation with a stable framework and a ticket queue, this is not it. If you want to build the quality system for a product whose whole promise is being right, and you like the idea of keeping AI-written code honest, we should talk.