Test Automation Engineer

Soji AI UG; Hamburg; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A growing AI technology startup in Hamburg seeks an experienced Software Development Engineer in Test to enhance their AI-driven aviation solutions. Responsibilities include developing automated test frameworks, managing data validation pipelines, and setting up robust testing infrastructures. Ideal candidates possess strong skills in testing, data engineering, and infrastructure as code. Join us to help build reliable systems that have a direct impact on global aviation safety and efficiency.

Leistungen

Ownership & impact from day one

Global team collaboration

Structured development talks quarterly

Visible difference in early-stage startup

Radical transparency

Meaningful mission in aviation safety

Qualifikationen

• 4 years of experience in software engineering focusing on test automation or AI/ML testing.
• Strong proficiency in testing tools and data validation for AI systems.
• Experience with data engineering practices including SQL/NoSQL.
• Proven skills in infrastructure as code for testing environments.
• Familiarity with AI workflows including benchmarking and regression testing.
• Exceptional problem-solving skills in collaborative settings.
• Experience in remote-first globally distributed teams is a plus.

Aufgaben

• Develop and maintain automated test frameworks for AI features.
• Create and run benchmarks for AI software; automate data validation pipelines.
• Design and deploy testing infrastructure with CI/CD integrations.
• Design scalable infrastructure for running tests and CI/CD integrations.
• Implement comprehensive regression suites and streamline testing processes.
• Work with cross-functional teams to integrate testing best practices.

Kenntnisse

Testing tools and frameworks proficiency

Data validation techniques for AI systems

Experience with ETL pipelines

Infrastructure as code skills

Familiarity with AI/ML workflows

Problem-solving skills

Tools

pytest

Selenium

Terraform

Docker

Kubernetes

Apache Airflow

dbt

TensorFlow

PyTorch

Jobbeschreibung

About Us

At Soji AI were on a mission to transform the aviation industry with cutting-edge artificial intelligence. Our AI-powered ecosystem is designed to reduce aircraft downtime improve safety and make operations more efficient.

Headquartered in Germany and Singapore were an international team that thrives on radical transparency continuous learning and real ownership. Every team member has the opportunity - and responsibility - to shape our product our culture and our future.

We support customers in Germany the UK Singapore and Japan and were just getting started. Our ambition is global and so is our mindset.

If youre excited to help reimagine a critical industry and bring powerful technology to the worlds skies - join us in making aviation safer smarter and AI-driven.

About the Role

Were looking for an experienced Software Development Engineer in Test to build and maintain robust testing infrastructure for our AI-driven aviation solutions.

This is a hands-on technical role - ideal for someone with a strong background in test automation data engineering and infrastructure setup particularly in AI software environments. You understand the complexities of testing AI models including benchmarks regression suites and data pipelines. And youre excited to ensure our products are reliable scalable and easy for the team to test and iterate on.

In this role youll drive test automation and data validation efforts set up testing infrastructure and collaborate with engineering teams to make testing seamless. Youll focus on regression testing feature validation and automating benchmarks for AI systems in aviation operations.

Tasks

Test automation support : Develop and maintain automated test frameworks to validate AI features and ensure high code quality.

Data testing and automation : Create maintain and run benchmarks for AI software; implement regular automated data validation pipelines to verify model performance and accuracy.

Data engineering tasks : Build and optimize data pipelines for testing datasets ensuring clean reliable data flows for AI evaluation.

Testing infrastructure setup : Design and deploy scalable infrastructure for running tests including CI / CD integrations and cloud-based environments.

Regression and feature testing : Implement comprehensive regression suites and new feature tests; streamline processes to make it easier for the team to write run and debug tests.

Collaboration and knowledge sharing : Work with cross-functional teams to integrate testing best practices document processes and enable efficient testing workflows.

Requirements

4 years of experience in software engineering with a focus on test automation data engineering or AI / ML testing

Strong proficiency in testing tools and frameworks (e.g. pytest Selenium or similar) and data validation techniques for AI systems

Experience with data engineering practices including ETL pipelines SQL / NoSQL databases and tools like Apache Airflow or dbt

Proven skills in infrastructure as code (e.g. Terraform Docker Kubernetes) for setting up testing environments

Familiarity with AI / ML workflows including benchmarking models (e.g. using TensorFlow PyTorch) and regression testing in dynamic environments

Exceptional problem-solving skills and the ability to thrive in fast-paced collaborative settings

Experience in a remote-first globally distributed team is a strong plus

Fluent in English

Self-starter with a passion for building reliable systems that support AI innovation

Benefits

True ownership & impact Take real responsibility from day one. Your ideas decisions and work will directly shape our product team and company.

Global team global mindset Collaborate with an international crew across time zones and cultures. We believe the best ideas come from everywhere.

Fast growth real development We dont believe in waiting a year for feedback. Youll have structured development talks every quarter and real chances to grow with the company.

Startup at the right stage Were early enough that your work makes a visible difference and mature enough to support your success.

Radical transparency We default to open communication shared decisions and high trust. No silos no secrets.

A mission that matters Help build AI that keeps aircraft flying safely and efficiently. This is tech with real-world impact at global scale.

Key Skills

Google Analytics,Automation,ASP.NET,Automation Testing,Electrical & Automation

Employment Type : Employee

Experience : years

Vacancy : 1