CloudOps Engineer – Pharma R&D Platform

Our client, a globally renowned pharmaceutical company, is looking for a DevOpsCloud engineer to support the development and deployment of scalable cloudbased workflows powering scientific research and drug discovery.

This is an exciting opportunity to help operationalize cuttingedge research by building infrastructure that enables scientists to run largescale data analysis with confidence, speed, and compliance.

About the Project

The client’s engineering team is building a powerful cloudnative platform that processes petabytes of multimodal scientific data—from genomics to imaging—used in biomarker discovery, drug safety evaluation, and target identification.

As a CloudOps Engineer, you’ll help ensure these complex pipelines run reliably, securely, and efficiently on hybrid infrastructure (onpremise + AWS). Youll work side by side with software engineers, bioinformaticians, and researchers to bring robustness and automation to scientific computing at scale.

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Key Responsibilities

• Manage and optimize execution of Nextflow pipelines for largescale scientific workloads.
  

• Build and maintain CICD workflows (e.g., Jenkins) for infrastructure and pipeline deployments.
  

• Develop and maintain Infrastructure as Code using tools like Terraform, Ansible, or CloudFormation.
  

• Integrate AWS services (e.g., EC2, S3, Batch, ECS, RDS, KMS) into production pipelines.
  

• Monitor, troubleshoot, and optimize pipeline performance on HPC and cloud environments.
  

• Collaborate with crossfunctional teams to ensure security, compliance, and reproducibility.
  

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  Requirements

  MustHave Skills
  

  • 3+ years of experience in DevOps, CloudOps, or Site Reliability roles
    

  • Experience with AWS infrastructure and services
    

  • Skilled in CICD tools (e.g., Jenkins) and IaC tools (Terraform, Ansible, CloudFormation)
    

  • Scripting skills (Python, Bash) and working knowledge of Linux environments
    

  • Strong troubleshooting, automation, and documentation abilities
    

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    NicetoHave
    

    • Exposure to bioinformatics or life sciences data workflows
      

    • Strong handson expertise with Nextflow pipeline execution, debugging, and maintenance
      

    • Experience with containerization (Docker, Kubernetes, Helm)
      

    • Familiarity with monitoring tools, logging, and system reliability practices
      

    • Understanding of FAIR data principles and regulatory data standards in healthcare
      

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      Benefits

      • Be part of a globally recognized pharmaceutical company.
        
      • Work on infrastructure that directly accelerates lifesaving drug discovery.
        
      • Collaborate with global teams of scientists, researchers, and engineers.
        
      • Be part of a missiondriven project combining cloud tech and life sciences.
        

      • Gain experience working on hybrid HPCcloud environments at scale.
        

      • Remote in EU.
        
      • Engage in meaningful projects leveraging innovative technologies.
        
      • Enjoy the flexibility of a freelance B2B contract.
        
        
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