InCycling GmbH

QA Engineer

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

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

We offer:

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 benefit or a mobility budget.

Access to corporate employee benefits platforms with regularly changing monthly offers and discounts.

We welcome candidates from all backgrounds, who believe in our mission. If you do not match 100% of the requirements, but believe you can do the job, please apply: perfect candidates do not exist, but wonderful colleagues do.

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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT API integration Python Engineer Technology remote

Likely questions

  1. Tell us about work you have done that is close to the QA Engineer role.
  2. How would you approach your first 30 days at InCycling GmbH?
  3. Which of API integration, Python and Engineer have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with API integration, Python and Engineer.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the QA Engineer role because I can bring practical experience in API integration, Python and Engineer, learn the team quickly, and contribute to the outcomes InCycling GmbH needs from this hire.

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