Cloud Quality Engineer (f/m/d) Cloud Automation & AI-Augmented Testing

IONOS SE; Berlin; Hybrid; EUR 85,000 - 110,000; Full time

Benefits offered by this job

Hybrid working model

Flexible working hours

Canteen subsidy

Good transport connections

Employee discounts

Employee events

Training and development opportunities

Health offers

Job summary

IONOS SE in Berlin is seeking a software quality engineer to push AI-assisted testing and automation across cloud control panels, APIs and microservices.

You will leverage AI tooling to scaffold tests, generate living specs, and reduce manual QA toil while integrating test workflows into GitLab CI/GitHub Actions, in a hybrid work setup. Strong automation, Pytest, Typescript, Pact experience is valued, along with Docker and Kubernetes familiarity.

Qualifications

• AI-First mindset with hands-on use of AI coding assistants and prompt engineering.
• Strong automation core with extensive test automation experience (Pytest).
• Experience in spec-based API testing from formal specifications (OpenAPI/Swagger).
• Cloud & container native expertise: Linux, Docker, Kubernetes, IaaS/PaaS concepts.
• CI/CD expertise: integrating automated tests into GitLab CI, GitHub Actions, or similar pipelines.
• Quality advocacy with critical thinking and a builder mentality to find edge cases and improve feedback loops.
• Willingness to undergo extended security vetting (SÜ2).

Responsibilities

• AI-Augmented Test Automation: scaffold, maintain, and expand automated test suites.
• Automate the QA Lifecycle: generate synthetic test data, analyze failures, streamline triage.
• Spec-Based API Testing: use API schemas to prompt and validate tests and code.
• Application & Platform Validation: design end-to-end and integration tests for cloud panels, APIs and microservices.
• CI/CD Integration & Pipeline Health: embed test workflows into GitLab CI/GitHub Actions to reduce flakes.
• Continuous Process Innovation: evaluate new AI tools and frameworks to boost productivity and reliability.

Skills

AI-First Mindset

Automation Core

Quality advocacy

Tools

Pytest

Typescript

Pact

Docker

Kubernetes

Job description

Area of Responsibility

At IONOS Cloud, we develop mission-critical cloud infrastructure and modern management platforms. We are looking for a software engineer with a strong quality mindset who embraces modern AI-assisted engineering to radically accelerate how we test, validate, and deliver our cloud applications.

In this role, you won't just write test scripts by hand—you will leverage AI tooling and agentic workflows ("vibe coding", LLM-assisted scaffolding, automated triage) to automate test processes, generate living specs, and eliminate repetitive QA friction across our cloud control panels, APIs, and microservices.

Tasks

• AI-Augmented Test Automation: Leverage AI to rapidly scaffold, maintain, and expand automated test suites across IONOS Cloud applications and APIs.
• Automate the QA Lifecycle: Implement AI-driven solutions to generate synthetic test data, analyze failure logs, and streamline triage.
• Spec-Driven Development with AI: Use API schemas (OpenAPI/Swagger) and functional specifications as the foundation to prompt, generate, and validate tests and code before features are merged.
• Application & Platform Validation: Design end-to‑end and integration test frameworks (using Python, Pytest, and modern API/UI runners) targeting cloud control panels, backend microservices, and provisioning workflows.
• CI/CD Integration & Pipeline Health: Embed automated test workflows into GitLab CI/GitHub Actions, keeping feedback loops fast and ruthlessly eliminating flaky tests.
• Continuous Process Innovation: Continuously evaluate and pilot emerging AI tools, agents, and frameworks that enhance team productivity and system reliability.

Qualifications

Professional experience in software quality engineering, test automation, or software development in test (SDET).

• AI-First Mindset: Daily, hands‑on experience using AI coding assistants and LLMs to write code, generate test data, or automate routine workflows. You understand how to prompt effectively, review generated output critically, and bypass tedious boilerplate. An experience in building custom CLI utilities would be a plus.
• Strong Automation Core: Solid coding skills and extensive experience with test automation. Experience in Pytest, Typescript or contract testing e.g. Pact would be a plus.
• Spec-Based API Testing: Experience in testing RESTful APIs and distributed microservices derived directly from formal specifications.
• Cloud & Container Native: Comfortable working with Linux environments, Docker containers, Kubernetes, and core cloud concepts (IaaS, PaaS, networking, and virtual machines).
• CI/CD Expertise: Practical experience integrating automated test stages into GitLab CI, GitHub Actions, or equivalent CI pipelines.
• Quality Advocacy: Strong critical‑thinking skills with a builder mentality—you proactively find edge cases, challenge requirements early, and optimize developer feedback loops.
• Security Clearance (SÜ2): Willingness to undergo extended security vetting (SÜ2).

Benefits

• Hybrid working model.
• Flexible working hours through trust-based working hours.
• At some locations a subsidized canteen and various free drinks.
• Modern office space with very good transport connections.
• Various employee discounts for activities and products.
• Employee events such as summer and winter parties, as well as workshops.
• Numerous training and development opportunities.
• Various health offers, such as sports and health courses.