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

IONOS Group; Berlin; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid working model

Flexible hours

Canteen subsidy

Modern office and transport links

Employee events

Job summary

IONOS Group’s IONOS Cloud team is seeking a Software Engineer focused on quality engineering and AI-driven testing. You will shape automated test strategies across cloud controls, APIs, and microservices, leveraging AI-assisted tooling to accelerate validation and delivery.

You will work with Python, PyTest, and modern API/UI runners to build robust test frameworks and integrate them into GitLab CI/GitHub Actions, ensuring high reliability of cloud-based services.

Qualifications

• Professional experience in software quality engineering, test automation, or software development in test (SDET).
• AI-First Mindset: daily, hands-on experience with AI coding assistants and LLMs to write code, generate test data, or automate workflows.
• Strong Automation Core: solid testing automation skills; PyTest, Typescript or contract testing (Pact) a plus.
• Spec-Based API Testing: testing RESTful APIs and distributed microservices from formal specifications.
• Cloud & Container Native: comfortable with Linux, Docker, Kubernetes and core cloud concepts.
• CI/CD Expertise: integrating automated test stages into GitLab CI, GitHub Actions, or similar pipelines.
• Quality Advocacy: critical-thinking, builder mentality, proactive edge-case discovery and faster feedback loops.
• Security Clearance (SÜ2): willingness to undergo extended security vetting (SÜ2).

Responsibilities

• AI-Augmented Test Automation: scaffold, maintain, and expand automated test suites across IONOS Cloud apps and APIs.
• Automate the QA Lifecycle: generate synthetic test data, analyze failure logs, and streamline triage.
• Spec-Driven Development with AI: use OpenAPI/Swagger specs to prompt, generate, and validate tests and code.
• Application & Platform Validation: design end-to-end and integration test frameworks for cloud panels, microservices, and provisioning workflows.
• CI/CD Integration & Pipeline Health: embed automated test workflows into GitLab CI/GitHub Actions and reduce flaky tests.
• Continuous Process Innovation: pilot new AI tools and frameworks to boost productivity and reliability.

Skills

SDET experience

AI-assisted testing

Python

PyTest

Docker/Kubernetes

Tools

OpenAPI/Swagger

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.