Constructor Knowledge Labs

Applied CS, ML and AI research

DevOps / Platform Engineer - Scientific Computing

Platform Engineering +1Confirmed live in the last 24 hours

Full-timeNo salary listed

About the Job

Requirements

Strong production-scale experience with AWS or an equivalent cloud platform, Kubernetes, and configuration management such as Ansible.
Practical experience deploying on-premise and in offline environments, not solely in the cloud.
End-to-end ownership of CI/CD pipelines.
Ability to work autonomously and proactively, including having independently carried infrastructure responsibilities.
Willingness to transfer knowledge and avoid knowledge silos.
Interest in both the product and the science.
Clear communication in English.
A degree in computer science or engineering, or equivalent practical track record.
Fluency in English.

Responsibilities

Own build, deployment, infrastructure, CI/CD, and release processes for the platform across cloud and on-premise targets.
Build and maintain installers and update paths that work in restricted and offline environments.
Manage database migration and rollback paths for customer installations.
Operate the Kubernetes and GitOps aspects of the platform.
Own secrets management, access control, and infrastructure-as-code.
Implement monitoring and log aggregation across internal and customer environments.
Integrate with Constructor's platform, identity, and deployment tooling.
Introduce static analysis and dependency and licence scanning into the pipeline.
Own backup, recovery, and continuity for the platform.
Support audit and compliance requirements from funded research and customer contracts.

Location: Remote within Europe, with regular presence in Bremen

Direct Reports: None

Working Model: Remote / hybrid. Regular time on-site in Bremen.

Mission

Own build, deployment and infrastructure for scientific software that runs in awkward places — customer premises, restricted laboratory networks, air-gapped sites, and our own cloud. The role combines conventional cloud platform engineering with the harder problem of shipping updatable software into environments we do not control.

Responsibilities

Pillar 1 Deployment and Delivery

Own build, CI/CD and release for the platform across cloud and on-premise targets.
Build and maintain installers and update paths that work in restricted and offline environments.
Manage database migration and rollback paths for customer installations.

Success Metrics and KPIs: release frequency, failed deployments, time to patch a customer site.

Pillar 2 Infrastructure

Run the Kubernetes and GitOps side of the platform.
Own secrets management, access control and infrastructure-as-code.
Implement monitoring and log aggregation across internal and customer environments.
Integrate with Constructor's platform, identity and deployment tooling.

Success Metrics and KPIs: uptime, mean time to detect, infrastructure reproducible from code.

Pillar 3 Security and Governance

Introduce static analysis and dependency and licence scanning into the pipeline.
Own backup, recovery and continuity for the platform.
Support audit and compliance requirements from funded research and customer contracts.

Accountability: no single undocumented dependency on one person, including yourself.

Requirements

Experience

Strong AWS or equivalent, Kubernetes, and configuration management such as Ansible, at production scale.
Real experience of on-premise and offline deployment, not only cloud.
CI/CD pipeline ownership end to end

Skills & Competencies

Autonomous and proactive. You have carried infrastructure alone.
Willing to hand knowledge over rather than hold it.
Interested in the product and the science, not only the pipeline.
Clear communicator in English.

Education & Languages

Degree in computer science or engineering, or equivalent practical track record.
Fluent English.

What This Role Is (and Is Not)

This role IS

Full ownership of infrastructure for a technically unusual product.
A role where you finally get a team around you.
Exposure to a broad modern stack.

This role is NOT

A pure cloud or pure on-premise role.
A ticket-driven operations role.
A role without contact with the product.

About the Company

Constructor Knowledge Labs

Applied CS, ML and AI research

Constructor Knowledge Labs focuses on applied research in Computer Science, Software Engineering, Machine Learning, and Artificial Intelligence. It works through collaborative projects and joint PhD programs in partnership with Constructor University, applying advanced methodologies to interdisciplinary fields like Robotics, the Metaverse, Neurosciences, Neuropsychology, Education, and Life Sciences from its base in Bremen, Germany. The center conducts research rather than selling a single product, using its expertise to tackle real-world problems by developing models, systems, and methods that can cross domain boundaries. It differentiates itself through a close university partnership, an emphasis on practical, applied research, and a multi-disciplinary approach spanning tech and science domains, aiming to produce tangible innovations. The goal is to make a meaningful impact by solving real-world challenges through applied research and technological advancement.

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: Not listed

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