Principal Platform Engineer, DevOps and Deployment

ESQlabs GmbH · Germany · posted 2026-11-02 · English-friendly ✓

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ESQlabs is an innovative, internationally active Contract Research Organization (CRO) and a global leader in the development and application of the Open Systems Pharmacology (OSP) Suite. We combine mechanistic modeling, Physiologically Based Pharmacokinetics (PBPK) and Quantitative Systems Pharmacology (QSP), with software and training to support Model-Informed Drug Development (MIDD) and Next-Generation Risk Assessment (NGRA) for pharmaceutical, chemical, and academic partners worldwide. Our mission is to empower life sciences: helping scientists understand mechanisms of disease and chemical toxicity to optimize individualized, safer, and more efficient treatment and testing strategies.

We are building a platform where AI agents help scientists set up regulated modeling analyses, and fixed, versioned procedures run them. This job is about the engine room: the compute core, the release pipeline and the operations.

You make sure our analyses can be reproduced, shipped to clients and checked later. You own the compute core, the release pipeline, deployment into client environments, and the metering and provenance behind every result. The AI layer has its own lead and team; you build what they run on. The Quality Manager sets the standards, you implement them. You report to the CEO.

* Make the scientific compute core deterministic: pinned R, Python and solver toolchains, content-addressed container images with a software bill of materials, and tests that prove byte-identical re-execution on a reference platform and tolerance-bounded re-execution across platforms.

* Build the services the AI layer runs on: isolated executors per client without network access, usage metering per call, the signed record and the certificate behind every result. You build the policy engine and the tool router together with the AI lead.

* Expose the platform as a versioned API and as tools for AI agents with one shared contract, and ship the reproducibility package that re-executes a run outside the platform.

* Run the evaluation pipeline in continuous integration: conformance tests against reference case sets, re-execution tests, regression tests, results stored per procedure version.

* Own release engineering and operations: CI/CD pipelines, signed and content-addressed releases, scripted installation qualification, environment management (hosted, in a client tenant, later offline), monitoring, incident handling and the operating model the deployment engineer runs.

* Implement the technical controls behind the information security and AI management standards the Quality Manager owns.

### What you bring

* At least five years of platform, infrastructure or backend engineering with senior ownership of a produ

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