QA Engineer

Meyandy LLC; Erfurt; Vor Ort; EUR 52.000 - 76.000; Vollzeit

Benefits dieser Stelle

Mentorship from data scientists and ML

Hybrid work setup

Long-term growth opportunity

Urban Sports Club membership

Zusammenfassung

InCycling GmbH in Erfurt is seeking a QA Engineer to strengthen quality across the software delivery lifecycle, from requirements through release. You’ll help shape automated integration testing, with a focus on platform ML, SAP integrations, and AI‑driven testing.

You’ll collaborate with engineers in a small, fast‑moving team, enjoy mentorship from senior data scientists, and benefit from a hybrid work setup, long‑term growth, and a mission to reduce waste and CO2 in the chemical industry.

Qualifikationen

• Solid grounding in software QA fundamentals and testing lifecycle.
• Hands-on test automation with Python or Java and Selenium.
• Experience with API testing and integrations.
• Fluent English; German a plus.
• Experience with SAP integrations or ML-based systems is a plus.

Aufgaben

• Partner with engineers to embed quality across the SDLC.
• Plan, execute, and document tests across features and integrations.
• Analyze coverage and identify gaps, balancing automation and manual testing.
• Triage and track defects; raise quality risks early.
• Build automated integration test coverage for platform ML and SAP.
• Produce structured evidence for regulatory and compliance objectives.
• Evolve quality practices with AI in engineering and testing.

Kenntnisse

QA fundamentals

Test automation

API testing

Communication

German knowledge

Tools

Selenium

Python/Java

SAP integrations

AWS

Jobbeschreibung

About InCycling

About InCycling Every year €26 billion worth of perfectly usable chemical raw materials are getting destroyed, generating millions of tonnes of avoidable CO₂ emissions and hazardous waste, not because they lack value, but because no system exists to capture it. InCycling is changing that. We are building a cloud-native AI-driven B2B platform with deep SAP integration, automated regulatory compliance workflows, and ML-based supply‑vs‑demand matching for scalable surplus chemical management. We are live with a couple of global DAX-tier enterprise pilot across 10+ production sites in 10+ countries and 3 continents with over 600 tonnes of surplus chemicals already in our deal pipeline. You would be joining at the moment where the foundation you build will define how the platform scales.

Tasks The role

You’ll be a second pair of eyes across our software delivery lifecycle, working alongside engineers to build quality in from requirements through release rather than checking it at the end. We’re evolving from a continuous‑delivery setup with strong automated coverage toward more deliberate quality practices, and you’ll help shape what that looks like — including how we make good use of AI in our own engineering and testing work. Over time you’ll grow into building automated integration testing across our key seams: platform ML, platform SAP, and external seller integrations. A meaningful part of the role supports our regulatory‑compliance work: producing the documented, auditable evidence that shows our ML‑based compliance solution does what we claim it does.

What you’ll do

• Partner with engineers to build quality into deliverables across the SDLC — requirements, design, code, and release
• Plan, execute, and document tests across features and integrations
• Analyze test coverage and identify gaps, balancing automated and manual approaches
• Ensure defects are triaged, tracked, and resolved, and that quality risks are surfaced early
• Maintain traceability between requirements and testing as our practices mature
• Build up automated integration test coverage over time (platform ML, platform SAP)
• Produce structured evidence to support our regulatory and compliance objectives
• Help evolve our quality practices, with a focus on integrating AI into how we engineer and test

Requirements

• Solid grounding in software QA fundamentals — test planning and execution, coverage analysis, defect lifecycle, and traceability
• Basic test automation skills — scripting in Python or Java and hands‑on experience with Selenium (or a comparable framework)
• Some corporate / structured SQA experience — you’ve seen how quality processes work in a real organization
• Comfortable testing APIs and integrations
• Curious about applying AI to testing and engineering workflows
• Pragmatic about process — able to add structure without slowing a small, fast‑moving team
• Detail‑oriented, willing to raise quality concerns constructively, and able to communicate clearly with engineers
• Good working English, German is a plus
• Nice to have Exposure to regulated / quality‑managed environments (GxP, CSV, ISO, or similar)
• Experience with SAP integrations or ML-based systems
• Understanding of cloud infrastructure (AWS)

Benefits

• The opportunity to build a digital platform from the ground up, influencing key architectural and engineering decisions
• A small, highly collaborative team, fast decision‑making. Direct mentorship from experienced data scientists and engineers (you won’t be learning from docs alone!), direct access to founders. A mission‑driven product contributing to the circular economy by reducing waste and CO₂ emissions in the chemical industry. A pragmatic engineering culture with modern tools, including AI‑assisted development.
• A flexible hybrid working setup and a culture built on ownership, collaboration, and continuous learning. Starting as a 24‑month engagement tied to our funding cycle, with every intention of building a long‑term journey together as InCycling grows.
• Urban Sports Club membership as a company health … QA Engineer — InCycling GmbH, Erfurt.

Mots‑clés : Quality Assurance, Inspection.