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Strong employer and metro location but specialized platform skills make competition moderate.
DevOps and cloud skills are transferable, but pharma GxP and data-platform expertise raise specificity.
Explicit 7–10 years plus mandatory AWS, Terraform, Ansible, platform and Python skills create high filtering.
Own development and automation of platform engineering solutions to support data science product roadmaps on platforms like Domino Data Lab, Dataiku, Posit, and SAS.
Implement and maintain AWS-based infrastructure automation using Terraform, Ansible, and CI/CD pipelines ensuring platform reliability, compliance, and integration.
Collaborate in agile teams with product managers and architects to deliver scalable data science platforms and troubleshoot operational issues with documented SDLC compliance.
7 to 10 years total experience with at least 3 years in platform engineering and IT infrastructure projects.
Bachelor’s degree in Computer Science, Information Technology or related field.
Hands-on experience with Data Science platforms (Domino Data Lab, Dataiku, Posit, SAS) and AWS cloud ecosystem including EKS, storage, and AI/ML services.
Proficiency in Infrastructure as Code tools (Terraform, Ansible), Python programming, Linux administration, and DevOps CI/CD pipeline practices.
Experienced in managing enterprise-grade Data Science platforms within regulated industries, preferably pharma or healthcare.
Strong operational focus on automation, reliability, and compliance in a global, multicultural agile environment.
Capable of bridging technical platform engineering and business needs through close collaboration with product teams and deep AWS infrastructure expertise.