Nexer Group
Czechia
New
GCP Cloud Engineer
- AI
- Cloud
- Cloud Security
- GCP
AI Summary
Quality Engineer role focused on ensuring reliability, security, and performance of AI-driven drug discovery products. Responsibilities include designing test strategies, automating test suites, and enforcing quality gates in CI/CD pipelines. Requires 5+ years of experience in quality engineering, test automation, and DevOps practices with a strong background in Python, CI/CD, and containerization.
Key Highlights
Design and implement automated test suites for complex, distributed, and GPU-intensive systems
Enforce quality gates in CI/CD pipelines to ensure high-quality releases
Collaborate with software engineers and data scientists to shape testing strategies
Key Responsibilities
Champion quality-by-design and robust engineering practices
Design, implement, and maintain automated test suites
Define and enforce quality gates in CI/CD pipelines
Partner with teams to shape Test Strategies and identify risks early
Coordinate release campaigns and facilitate bug grooming
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Technical Skills Required
Benefits & Perks
Industry-competitive compensation including early-stage virtual share options
Remote-first working with a work-from-home budget
Generous holiday allowance
Office days at European locations (3x a year)
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Nice to Have
Prior exposure to life sciences domain
Experience with Testing Frameworks (e.g., Playwright, Pytest)
Knowledge of cloud providers (AWS, Azure, GCP)
Job Description
About Apheris
At Apheris, we are building the future of how AI is applied in pharmaceutical R&D. We enable leading pharmaceutical teams to discover and develop drugs faster through federated data networks for drug discovery AI, including co-folding, ADMET, and antibody developability.
About The Role
As a Quality Engineer at Apheris, you will ensure the reliability, security, and performance of our AI-powered products used in life sciences. You will work closely with software engineers and data scientists to design and execute testing strategies for complex, distributed, and GPU-intensive systems, including privacy-preserving federated computations and scientist-facing UIs/APIs.
What you will do
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