Our client, a globally renowned pharmaceutical company, is looking for a CloudOps Engineer to support the development and deployment of scalable cloud-based workflows powering scientific research and drug discovery.
This is an exciting opportunity to help operationalize cutting-edge research by building infrastructure that enables scientists to run large-scale data analysis with confidence, speed, and compliance.
The client’s engineering team is building a powerful cloud-native platform that processes petabytes of multi-modal 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 (on-premise + AWS). You'll work side by side with software engineers, bioinformaticians, and researchers to bring robustness and automation to scientific computing at scale.
Manage and optimize execution of Nextflow pipelines for large-scale scientific workloads.
Build and maintain CI/CD 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 cross-functional teams to ensure security, compliance, and reproducibility.
3+ years of experience in DevOps, CloudOps, or Site Reliability roles
Experience with AWS infrastructure and services
Skilled in CI/CD 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
Exposure to bioinformatics or life sciences data workflows
Strong hands-on 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
Gain experience working on hybrid HPC/cloud environments at scale.
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