The AI Job Search Engine
Cloud Platform Engineer(m/w/x)
Designing, implementing, operating cloud infrastructure for federated AI in pharmaceutical R&D at AI platform for drug discovery. Hands-on container orchestration (Kubernetes) experience required. Early-stage virtual share options, work-from-home budget, co-working stipend.
Requirements
- 3+ years relevant experience
- Bachelor's degree in Computer Science or related field (Physics, Mathematics, Engineering)
- Hands-on container orchestration experience (Kubernetes)
- Experience with AWS, Azure, GCP, or OpenStack
- Experience with Helm, Terraform, or similar tools
- Clear communication in English (written and spoken)
- Effective collaboration with external stakeholders
- Enjoyment of working with engineers and end users
- Motivation for solving challenging technical problems
- Experience with HPC, scientific computing, or platform engineering
- Experience in regulated industries (Pharma, Life Sciences, Financial Services)
- Experience with on-premise Kubernetes deployments (k3s)
Tasks
- Design cloud infrastructure for internal engineering workflows
- Design cloud infrastructure for customer deployments
- Implement cloud infrastructure for internal engineering workflows
- Implement cloud infrastructure for customer deployments
- Operate cloud infrastructure for internal engineering workflows
- Operate cloud infrastructure for customer deployments
- Ensure reliable, maintainable, and easy-to-operate systems
- Collaborate with customer infrastructure and cloud teams
- Support customer deployments
- Troubleshoot customer issues
- Ensure successful operation of the Apheris platform
- Refine and enhance IaC setups with engineering teams
- Refine and enhance CI/CD systems with engineering teams
- Refine and enhance GitOps systems with engineering teams
- Improve and automate customer deployment processes
- Continuously remove deployment friction
- Enable reliable and repeatable platform installations
- Collaborate with client cloud and infrastructure engineers
- Address technical questions on Apheris application deployments
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Kubernetes
- AWS
- Azure
- GCP
- OpenStack
- Helm
- Terraform
- HPC
- k3s
Benefits
Competitive Pay
- Early-stage virtual share options
Additional Allowances
- Wellbeing budget
- Work-from-home budget
- Co-working stipend
Mental Health Support
- Mental health benefits
Learning & Development
- Learning and development budget
More Vacation Days
- Generous holiday allowance
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Full-timeWith HomeofficeExperiencedBerlin
Cloud Platform Engineer(m/w/x)
Designing, implementing, operating cloud infrastructure for federated AI in pharmaceutical R&D at AI platform for drug discovery. Hands-on container orchestration (Kubernetes) experience required. Early-stage virtual share options, work-from-home budget, co-working stipend.
Requirements
- 3+ years relevant experience
- Bachelor's degree in Computer Science or related field (Physics, Mathematics, Engineering)
- Hands-on container orchestration experience (Kubernetes)
- Experience with AWS, Azure, GCP, or OpenStack
- Experience with Helm, Terraform, or similar tools
- Clear communication in English (written and spoken)
- Effective collaboration with external stakeholders
- Enjoyment of working with engineers and end users
- Motivation for solving challenging technical problems
- Experience with HPC, scientific computing, or platform engineering
- Experience in regulated industries (Pharma, Life Sciences, Financial Services)
- Experience with on-premise Kubernetes deployments (k3s)
Tasks
- Design cloud infrastructure for internal engineering workflows
- Design cloud infrastructure for customer deployments
- Implement cloud infrastructure for internal engineering workflows
- Implement cloud infrastructure for customer deployments
- Operate cloud infrastructure for internal engineering workflows
- Operate cloud infrastructure for customer deployments
- Ensure reliable, maintainable, and easy-to-operate systems
- Collaborate with customer infrastructure and cloud teams
- Support customer deployments
- Troubleshoot customer issues
- Ensure successful operation of the Apheris platform
- Refine and enhance IaC setups with engineering teams
- Refine and enhance CI/CD systems with engineering teams
- Refine and enhance GitOps systems with engineering teams
- Improve and automate customer deployment processes
- Continuously remove deployment friction
- Enable reliable and repeatable platform installations
- Collaborate with client cloud and infrastructure engineers
- Address technical questions on Apheris application deployments
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Kubernetes
- AWS
- Azure
- GCP
- OpenStack
- Helm
- Terraform
- HPC
- k3s
Benefits
Competitive Pay
- Early-stage virtual share options
Additional Allowances
- Wellbeing budget
- Work-from-home budget
- Co-working stipend
Mental Health Support
- Mental health benefits
Learning & Development
- Learning and development budget
More Vacation Days
- Generous holiday allowance
About the Company
Apheris
Industry
Pharmaceuticals
Description
Apheris builds AI applications for pharmaceutical R&D, enabling secure collaboration on large AI models to accelerate drug discovery.
Not a perfect match?
- Intapp
Cloud Platform Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin - ImmoScout24
Senior Platform Engineer - Cloud Infrastructure(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - n8n
Senior Cloud Platform Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Scout24
Senior Platform Engineer - Cloud Infrastructure(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - DKB AG
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