DevOps Engineer

Scorpion Therapeutics; Lázaro Cárdenas; Presencial; MXN 1,216,000 - 1,565,000; Jornada completa

Descripción de la vacante

A leading biopharmaceutical company in Mexico is seeking a talented DevOps Engineer to support R&D teams. This role involves developing and maintaining cloud platform solutions, managing full system development lifecycles, and collaborating with scientists. The ideal candidate has over 5 years of experience with Linux systems, cloud services (Azure, AWS), and scripting. Excellent communication skills and familiarity with bioinformatics are highly valued. Join us to enable innovative research efforts through superior technical solutions.

Formación

• 5+ years of experience implementing and managing Linux-based systems, especially HPC environments.
• 5+ years of experience in cloud services in Azure and/or AWS.
• Experience using languages like Python, Bash, and PowerShell.

Responsabilidades

• Facilitate delivery of computation platform resources to R&D department.
• Develop cloud platform solutions adhering to security and compliance standards.
• Manage complete system development lifecycle for bioinformatics applications.

Conocimientos

Linux-based systems administration

Cloud IaaS and PaaS services (Azure, AWS)

Python

Git-based source control (GitHub, GitLab)

CI/CD pipeline development

Infrastructure-as-code (Terraform)

Agile Scrum experience

Effective communication skills

Educación

Bachelor's degree in computer science or bioinformatics

Herramientas

GitHub Actions

Terraform

SLURM

Descripción del empleo

Role Summary

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/or working with shared data science or bioinformatics platforms using DevOps processes in cloud Linux ecosystems. Experience with pharmaceutical/biopharmaceutical fields would be a plus.

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

Qualifications

• Required: 5+ years of experience implementing and managing Linux-based systems and solutions, especially HPC environments
• Required: 5+ years of experience designing, deploying, and maintaining cloud IaaS and PaaS services in Azure and/or AWS
• Required: 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
• Required: Strong knowledge of cloud-based compute, storage, and database workload architectures – authentication/authorization, service connections, resourcing, monitoring, and data flows
• Required: Extensive familiarity with Git-based source control management tools like GitHub, GitLab, and Azure Repos
• Required: 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
• Required: Experience developing and maintaining infrastructure-as-code solutions using tools such as Terraform, AWS CDK/CloudFormation, and Azure ARM/Bicep templates
• Required: Expert working with and supporting job schedulers like SLURM, AWS Batch, and Azure Batch
• Required: Experience working in an Agile Scrum environment for project and task management
• Required: 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
• Required: Strong emphasis on prioritization, delivering results with high quality, technical rigor, and attention to detail
• Preferred: Relevant professional certifications in AWS or Azure
• Preferred: Experience managing cloud platform operations, including compute and storage cost optimization and cloud security assessments and remediations
• Preferred: Experience with cloud platform observability and monitoring, and developing platform integrations and dashboards to surface relevant insights and key performance/availability metrics
• Preferred: Experience with GenAI infrastructure and tooling, such as the Azure AI stack, ChatGPT Enterprise, or open-source alternatives
• Preferred: Experience developing custom GenAI solutions for biotechnology and life sciences use cases
• Preferred: Experience integrating, maintaining, and supporting interactive data science and bioinformatics platforms like Databricks, Posit (RStudio), DNAnexus, or Seqera
• Preferred: Familiarity with bioinformatics or data sciences libraries (conda, CRAN R packages, Bioconductor)
• Preferred: Prior experience in a validated/qualified GxP environment
• Preferred: Data pipeline engineering experience using Nextflow or Snakemake
• Preferred: Experience with next generation sequencing platforms (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 OR equivalent experience