DevOps Engineer

Overview

DevOps Engineer role at BioSpace for BioMarin’s R&D IT team. The successful candidate will support BioMarin’s Research and Data Sciences teams by evaluating, designing, developing, and maintaining computational infrastructure and platforms used for analytics pipelines, scientific research projects, and clinical data analysis. Experience with DevOps processes in cloud Linux ecosystems and sharing data science or bioinformatics platforms is preferred. BioMarin emphasizes initiative, energy, motivation, and strong communication and organizational skills.

Responsibilities

• Facilitate the delivery of computation platform resources to a diverse R&D department by leveraging modern DevOps processes and tooling, promoting collaboration among users, and empowering user autonomy
• Develop, implement, and document flexible, user-centric cloud platform solutions within the data science, bioinformatics, and computational science space that encourage user freedom while adhering to corporate security, governance, and compliance standards
• Proactively identify and mitigate existing technical debt while minimizing further accumulation, fostering a culture of effective resource management and sustainable engineering practices
• Closely manage and own the complete system development lifecycle for data science and bioinformatics applications, ensuring seamless design, development, testing, deployment, and ongoing support, while maintaining industry best practices and regulatory guidelines
• Proactively engage with scientists and researchers to facilitate the adoption and deployment of future bioinformatics tools, fostering a cutting-edge environment and optimizing research efforts through continuous exploration and evaluation of innovative solutions

Required Qualifications

• 5+ years of experience implementing and managing Linux-based systems and solutions, especially HPC environments
• 5+ years of experience designing, deploying, and maintaining cloud IaaS and PaaS services in Azure and/or AWS
• 5+ years of experience using languages such as Python, Bash, and PowerShell; developing scripts and automation, writing unit/integration tests, and following test-driven development processes
• Strong knowledge of cloud-based compute, storage, and database workload architectures – authentication/authorization, service connections, resourcing, monitoring, and data flows
• Extensive familiarity with Git-based source control management tools like GitHub, GitLab, and Azure Repos
• Demonstrated experience designing and implementing CI/CD pipelines for testing and deploying infrastructure and applications through tools such as GitHub Actions, GitLab CI/CD, and Azure Pipelines
• Experience developing and maintaining infrastructure-as-code solutions using tools such as Terraform, AWS CDK/CloudFormation, and Azure ARM/Bicep templates
• Expert working with and supporting job schedulers like SLURM, AWS Batch, and Azure Batch
• Experience working in an Agile Scrum environment for project and task management
• Effective and proactive communication skills when engaging with scientific, technical, and non-technical stakeholders, with the ability to interface between them and determine and translate requirements
• Strong emphasis on prioritization, delivering results with high quality, technical rigor, and attention to detail

Preferred Experience

• Relevant professional certifications in AWS or Azure
• Experience managing cloud platform operations, including compute and storage cost optimization and cloud security assessments and remediations
• Experience with cloud platform observability and monitoring, and developing platform integrations and dashboards to surface relevant insights and metrics
• Experience with GenAI infrastructure and tooling, such as Azure AI stack, ChatGPT Enterprise, or open-source alternatives
• Experience developing custom GenAI solutions for biotechnology and life sciences use cases
• Experience integrating, maintaining, and supporting interactive data science and bioinformatics platforms like Databricks, Posit (RStudio), DNAnexus, or Seqera
• Familiarity with bioinformatics or data sciences software libraries (e.g., conda, CRAN R packages, Bioconductor)
• Prior experience in a validated/qualified GxP environment
• Data pipeline engineering experience using workflow management systems like Nextflow or Snakemake
• Experience with next generation sequencing platforms such as PacBio or Illumina

Education

• Bachelor's degree in computer science, bioinformatics, or other engineering discipline (or equivalent experience) and five years of relevant professional experience

Equal Employment Opportunity

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.