Quality Engineer

Apheris; Remote; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A leading technology company in Berlin seeks a Quality Engineer to enhance product reliability and performance in their AI-driven solutions for pharmaceutical R&D. This role requires expertise in test automation, a degree in Computer Science, and strong knowledge of CI/CD practices. The ideal candidate will collaborate with teams to enforce quality standards across pipelines and contribute to a culture of quality-by-design. Join a diverse, mission-driven team dedicated to harnessing AI for better health outcomes.

Leistungen

Industry-competitive compensation

Remote-first working model

Wellbeing budget

Qualifikationen

• 2 years of relevant professional experience with a degree or 4 years with a related field.
• Capable of writing scripts to automate tasks using Python or Bash.
• Experience with non-functional testing including performance and reliability.

Aufgaben

• Design and implement automated test suites.
• Define quality gates in CI/CD pipelines.
• Write pipelines as code for automatic quality gates.

Kenntnisse

Test automation experience

Python

CI/CD practices

Good communication

Ownership of problems

Ausbildung

Bachelors or Masters degree in Computer Science

Tools

Docker

Kubernetes

Git

Jobbeschreibung

At Apheris we are building the future of how AI is applied in pharmaceutical R&D. Our federated computing technology enables global pharma companies to collaborate securely on large AI models that accelerate drug discovery without ever sharing their proprietary data. By powering multi‑partner data networks across small molecules, antibodies and protein folding Apheris is redefining how science and AI intersect.

We currently host two flagship networks: the AI Structural Biology (AISB) Network focused on protein co‑folding and binding affinity prediction and the ADMET Network focused on small‑molecule property addition. We have just launched ApherisFold, an enterprise co‑folding application that enables pharma teams to deploy cutting‑edge models such as OpenFold3 and Boltz‑2 directly within their own environments.

About the role

As a Quality Engineer at Apheris you will play a key role in ensuring the reliability, security and performance of our products that power AI in life sciences. Our portfolio includes the Apheris Gateway for building and joining federated data networks as well as the Apheris Hub that enables local runs of AI‑based drug discovery workflows.

You will work closely with software engineers and data scientists to design and execute testing strategies for complex distributed and GPU‑intensive systems – from privacy‑preserving federated computations running across multiple organizations to scientist‑facing UIs / APIs.

You will be responsible for identifying and implementing the best ways to test our products covering both functional and non‑functional requirements (performance, scalability, reliability, security and usability) to meet the expectations of our high‑profile pharma and life sciences customers.

Expectations

• Design, implement and maintain automated test suites spanning different test levels.
• Define and enforce quality gates in our CI/CD pipelines to keep feedback loops short and ensure every change meets our quality bar before it reaches customers.
• Champion quality‑by‑design by collaborating with teams on testability, observability and robust engineering practices from design through release.
• Partner with product platform and infrastructure teams to clarify requirements, identify risk early and shape test strategies for new features.

What you will do

• Be a champion regarding quality engineering practices.
• Be involved in the development of complex features from the beginning by designing Test Strategies and conducting testing sessions to find bugs on early stages.
• Write automated test cases at different test levels and coach other developers on that matter.
• Contribute to the development of testing frameworks that support the testing process.
• Write pipelines as code that will implement automatic quality gates to enforce best practices on the SDLC.
• Help the teams improving their feedback loops by enforcing CI/CD towards a DevOps mindset.

What we expect from you

• 2 years of relevant professional experience with a Bachelors/Masters degree in Computer Science or 4 years of relevant professional experience with a degree on a related field (e.g. Physics, Mathematics, Engineering).
• Development and/or test automation experience preferably using Python (other OOP languages are also valued).
• Capable to write scripts to automate tedious day‑to‑day tasks (using Python, Bash or anything you like to script with).
• Experience with non‑functional testing (performance, reliability, fault‑tolerance).
• Knowledge in CI/CD and DevOps practices with hands‑on experience on creating / maintaining Pipelines as Code.
• Knowledge in Containerisation (Docker) and Orchestration (Kubernetes) concepts.
• Proficient with Git and Git Flow concepts.
• Excellent communicator: you are fluent in English (verbal and written) and communicate in a constructive and proactive manner.
• You are confident to take ownership of a problem, gather ideas to solve it and convey your approach efficiently.
• You have genuine interest in working with cutting‑edge technology in a fast‑paced environment and a young start‑up.
• Passionate about continuous learning demonstrated agility in quickly adopting and mastering new technologies.

Nice to have

• Prior exposure to life‑sciences domains which is a plus but not required.
• Experience with Testing Frameworks (e.g. Playwright, Pact, REST, Assured, Selenium, Cypress – similar tools are valued).
• Experience in Go and / or .
• Knowledge with cloud providers (e.g. AWS, Azure, GCP, OpenStack) and on‑premise setups (e.g. locally hosted Kubernetes).
• Knowledge in Software Security (e.g. OWASP).
• Knowledge in infrastructure‑as‑code tools (GitOps, Terraform, Flux).

What we offer you

• Industry‑competitive compensation including early‑stage virtual share options.
• Remote‑first working – work where you work best whether from home or a co‑working space near you.
• Great suite of benefits including a wellbeing budget, mental health benefits, a work‑from‑home budget, a co‑working stipend and a learning and development budget.
• Generous holiday allowance.
• Office Days at our Berlin HQ or a different European location (3× a year).
• A fun diverse team of mission‑driven individuals with a drive to see AI and ML used for good.
• Plenty of room to grow personally and professionally.

Logistics

Our interview process is split into four phases:

• Initial Screening: If your application matches our requirements we invite you to an initial video call with the Director of Quality Engineering to explore the role.
• Take Home Challenge: If there is an alignment between your interests and Apheris you will be invited to complete a take‑home coding challenge that you will be able to complete at your own pace.
• Deep Dive: In this phase a domain expert from our team will assess your challenge and schedule a session with you so that we could discuss the implementation decisions that were made.>
• Final Interview: Finally we invite you for a session with our founders to talk about our culture and discuss our company vision and plans for the future.

Key Skills
APQP, Quality Assurance, Six Sigma, ISO 9001, PPAP, Minitab, Root cause Analysis, ISO 13485, Quality Systems, Quality Management, AS9100, Manufacturing

Employment Type: Full‑Time
Vacancy: 1