Capgemini is seeking experienced software and cloud engineers to accelerate research computing initiatives by delivering scalable, secure, and efficient solutions for research workflows on cloud and High Performance Computing (HPC) environments for biotech and pharmaceutical applications.
Requirements
- 7+ years experience developing cloud solutions for biotech/biopharma research or other specialized industries
- Demonstrated expertise with Google Cloud Platform (BigTable, BigQuery, Cloud Run)
- Experience with HPC workflows and HPC-to-cloud migrations
- Proficiency in Nextflow pipelines and cloud deployments
- Strong DevOps skills with proficiency in containerization, CI/CD pipelines, and infrastructure-as-code using Terraform
- Advanced Python and shell scripting experience
- Familiarity with big data tools (BigQuery optimization a plus)
Responsibilities
- Build and maintain HPC and cloud-based workflows
- Migrate legacy HPC workflows to Google Cloud Platform (GCP)
- Develop and optimize CI/CD pipelines (GitHub Actions, Azure DevOps)
- Implement infrastructure-as-code practices (Terraform)
- Collaborate to address gaps in permission management, data access, workflow execution, and automation
- Develop engineering standards & best practices via standard containers, library development, cookie-cutter repos, workflow templates, CI/CD pipelines
- Promote reproducibility and maintainability across research codebases
Other
- Ad-Hoc engineering support for scientists in the UK and US East Cost time zones
- Provide hands-on assistance for scientists with complex integrations and troubleshooting
- Excellent problem-solving and communication skills
- Familiarity with Java preferred
- Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
