QA AUTOMATION ENGINEER

Reverse; Berlin; Ibrido; EUR 60.000 - 75.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid office in Berlin

Competitive compensation

Descrizione del lavoro

Reverse in Berlin seeks an experienced QA Automation Engineer to join a globally distributed team. The role splits focus between simulation engines and cloud services, with automated testing across REST/gRPC APIs, time-series data, and performance benchmarks.

You will design and maintain scalable testing frameworks, integrate them into CI/CD pipelines, and collaborate across Berlin, Denmark, and the Czech Republic to ensure quality across domains.

Competenze

• 5–8 years of hands-on quality engineering and test automation experience.
• Proficient in C# and Python for test framework development.
• Experience with REST/gRPC API testing and UI testing tools.
• CI/CD pipeline experience (GitHub Actions/TeamCity) and Docker/Kubernetes familiarity.
• Strong ability to analyze numerical outputs and time-series data.

Mansioni

• Design, build, and maintain scalable automated testing frameworks for simulation engines and cloud platforms.
• Develop automated regression suites to validate numerical calculations and time-series data.
• Design and execute performance benchmarking to profile speed and memory usage.
• Perform automated API testing (REST and gRPC) and end-to-end integration testing.
• Integrate test suites into CI/CD pipelines in containerized environments.
• Investigate test failures across code, engines, dependencies, and configs.
• Collaborate with remote teams to define quality criteria and expected test outcomes.

Conoscenze

C#

Python

REST API testing

gRPC testing

UI testing

CI/CD

Communication

Distributed teams

Formazione

Bachelor’s or Master’s degree in Computer Science/Software Engineering/IT

Strumenti

Playwright

Selenium

Docker

Kubernetes

GitHub Actions

TeamCity

PostgreSQL

Descrizione del lavoro

Location: Berlin, Germany (Hybrid: 3 days in-office)

Position Type: Full-time, Permanent

Salary Range: €60,000-75,000 / year (commensurate with experience)

Work Authorization: Applicants must currently reside in Germany and possess full unrestricted work authorization.

About the Company & Role

Our client is a global and independent leader in digital environmental engineering and sustainability solutions. They deliver industry-leading modeling software, advisory services, and cloud platforms dedicated to solving critical water and environmental challenges worldwide.

We are seeking an experienced QA Automation Engineer to join their team in Berlin. This role offers a unique and stimulating challenge split evenly between two key product domains:

• 50% Simulation Engines: Validating high-performance numerical software, scientific correctness, time-series datasets, and calculation performance.
• 50% Cloud Services & Platforms: Automating REST/gRPC APIs, integration workflows, and web services connected to scalable cloud infrastructure.

Working in an international, collaborative environment, you will work alongside software developers, scientists, and domain experts based across Berlin, Denmark, and the Czech Republic.

Key Responsibilities

• Framework Development: Design, build, and maintain scalable automated testing frameworks for simulation calculation engines and cloud platforms.
• Scientific Data & Output Validation: Develop automated regression suites to validate numerical calculations, time-series data, and output correctness against strict scientific tolerance criteria.
• Performance Benchmarking: Design and execute performance and benchmarking strategies from scratch to profile calculation speed, memory usage, and CPU multi-threading during heavy simulation runs.
• API & System Integration: Perform automated API testing (REST and gRPC) and conduct end-to-end integration testing across backend services.
• CI/CD Pipeline Integration: Integrate automated test suites into continuous delivery pipelines (e.g., GitHub Actions or TeamCity) running in containerized environments.
• Root-Cause Analysis: Investigate test failures across application code, simulation engines, compilers, dependencies, and configuration layers.
• Cross-Functional Collaboration: Partner effectively with remote software engineering and scientific teams to define quality criteria and expected test outcomes.

Your Profile & Requirements

• Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
• Experience: Ideally 5 to 8 years of hands‑on experience in Quality Engineering and Test Automation.
• Programming Skills: Strong proficiency in C# and Python for test framework development and scripting.
• Data & Backend Focus: Solid experience handling and asserting numerical outputs, time-series data, or large scientific datasets.
• API & UI Testing: Experience with REST/gRPC API testing and basic knowledge of UI test automation tools (e.g., Playwright or Selenium).
• CI/CD & Containers: Hands‑on experience executing tests within CI/CD pipelines (GitHub Actions/TeamCity) and familiarity with Docker/Kubernetes containerized environments.
• Performance Testing: Demonstrated experience in performance, stress, or scalability testing.
• Interpersonal Skills: Excellent communication and collaboration skills to work effectively across distributed remote teams.

Nice to Have:

• Prior experience with engineering, simulation, or scientific modeling software.
• Knowledge of cloud services (Azure Kubernetes Service, Azure Batch, Azure Blob Storage).
• Experience with database validation (PostgreSQL).
• Exposure to low-level compiled languages (C, C++, or Fortran).

What Is Offered

• Purpose-driven work contributing to global sustainability and environmental protection.
• High impact on quality practices and software development from concept to release.
• A highly collaborative, international, and expert team environment.
• Flexible working model with hybrid office arrangements in Berlin.
• Competitive compensation package and professional growth opportunities.