DevOps Engineer

DevOps Engineer

BioMarin is a global biotechnology company that relentlessly pursues bold science to translate genetic discoveries into new medicines that advance the future of human health. Since our founding in 1997, we have applied our scientific expertise in understanding the underlying causes of genetic conditions to create transformative medicines, using a number of treatment modalities. Using our unparalleled expertise in genetics and molecular biology, we develop medicines for patients with significant unmet medical need. We enlist the best of the best people with the right technical expertise and a relentless drive to solve real problems and create an environment that empowers our teams to pursue bold, innovative science. With this distinctive approach to drug discovery, we've produced a diverse pipeline of commercial, clinical and preclinical candidates that have well-understood biology and provide an opportunity to be first-to-market or offer a substantial benefit over existing therapeutic options.

The BioMarin R&D IT team seeks a highly talented and motivated DevOps Engineer to support BioMarin's Research and Data Sciences teams. The successful candidate will have the opportunity to partner closely with both IT professionals and scientists from multiple groups across the organization. They will play a key role in evaluating, designing, developing, and maintaining computational infrastructure and platforms used for analytics pipelines, scientific research projects, and clinical data analysis. A strong candidate will have a successful track record implementing, maintaining, and working with shared data science and bioinformatics (specifically genomics) platforms using DevOps processes in cloud Linux ecosystems. Experience in the pharmaceutical/biopharmaceutical fields is a must.

BioMarin is a high-performing, team-based organization, where colleagues are flexible, multi-skilled and empowered to make decisions. Applicants must bring a high level of initiative, energy and motivation to the role and have excellent 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:

• 3+ years of experience implementing and managing Linux-based systems and solutions, especially HPC environments
• 3+ years of experience using languages such as Bash, Python, or PowerShell, developing scripts and automation, writing unit/integration tests, and following test-driven development processes
• 3+ years of experience designing, deploying, and maintaining cloud IaaS and PaaS services in Azure and/or AWS
• Experience working with genomics and bioinformatics teams, supporting research data infrastructure, platforms, and pipelines.
• 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
• 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 (e.g., AWS Certified DevOps Engineer, AWS Certified Developer Associate, AWS Certified Solutions Architect) or Azure (e.g., Microsoft Certified: DevOps Engineer Expert, Microsoft Certified: Azure Developer Associate, Microsoft Certified: Solutions Architect Expert)
• Experience developing and maintaining infrastructure-as-code using tools such as Terraform, AWS CDK/CloudFormation, and Azure ARM/Bicep templates
• Experience managing cloud platform operations, including compute and storage cost optimization, cloud security assessments and remediations
• Experience with cloud platform observability and monitoring, developing platform integrations and dashboards to surface relevant insights and key performance/availability metrics.
• Experience building and supporting GenAI infrastructure and tooling, including the Azure AI stack (Microsoft Foundry, Microsoft Agent Framework, AI Search), Databricks, OpenAI Platform, and open-source alternatives
• Experience developing custom GenAI solutions, especially for biotechnology and life sciences use cases such as drug discovery and regulatory submissions
• Hands-on experience building RAG-based systems using embeddings, vector search, and LLMs
• Experience integrating, maintaining, and supporting interactive data science and bioinformatics platforms like Databricks, Posit (RStudio), DNAnexus, or Seqera
• Familiarity with broad software libraries and applications common in bioinformatics or data sciences domains (i.e., conda, CRAN R packages, Bioconductor)
• Prior experience in a validated/qualified GxP environment
• Data pipeline engineering experience using a workflow management system such as Nextflow or Snakemake is a plus
• Experience with next generation sequencing platforms such as PacBio or Illumina is a plus

Education:

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

Note: This description is not intended to be all-inclusive, or a limitation of the duties of the position. It is intended to describe the general nature of the job that may include other duties as assumed or assigned.

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.