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Principal DevOps Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: MediData
Full Time position
Listed on 2026-09-20
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 165000 - 220000 USD Yearly USD 165000.00 220000.00 YEAR
Job Description & How to Apply Below

Location:

This is a hybrid remote/in-office role.
Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week following Company policy.

About our Company:

Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster.

A Dassault Systèmes brand (Euronext Paris: FR0014003TT8, DSY.PA), Medidata is headquartered in New York City and has been recognized as a Leader by Everest Group and IDC. Discover more at  Listen to our latest podcast, from Dreamers to Disruptors, and follow us at @Medidata.

About the Team:

The Medidata Platform unifies the entire trial lifecycle, from design to closeout, in a single AI-driven ecosystem. The Medidata Platform gives every team a single connected foundation. It simplifies work for sites while giving sponsors and CROs greater oversight and predictability, lowering development costs, accelerating enrollment, and improving the patient experience.

Who you are:

The platform is in the middle of a fundamental shift. AI and agentic systems are moving from experimental features to core infrastructure. You will build high quality products and tools relied upon by all internal engineering teams and customer-facing functions 'll be challenged both to develop new features in response to market demand and improve the performance and scalability of our applications to meet the growing user base.

Responsibilities:
  • Architect and implement secure, scalable infrastructure solutions using Infrastructure as Code (Terraform, AWS CDK) and AI-driven infrastructure principles, ensuring robustness for modern machine learning workloads.
  • Lead the modernization of CI/CD pipelines, transitioning from legacy systems to robust Git Ops approaches using Argo CD and Git Hub Actions.
  • Implement advanced logging, monitoring, and observability solutions (e.g., Grafana) to support reliability and performance.
  • Collaborate cross-functionally with Engineering and Information Security (Info Sec) teams to drive the adoption of scalable, compliant (FedRAMP, DR) Dev Ops practices.
  • Mentor and coach junior and off-shore engineering teams, fostering technical growth, leading daily stand-ups, and representing the Platform team in key architectural meetings.
  • Hands-on expertise in AWS-based cloud systems, Infrastructure as Code, and modern CI/CD orchestration.
    Proven ability to design scalable architectures, influence technical direction, and communicate effectively with stakeholders across the organization.
Qualifications:
  • 10+ years of AWS expertise in automating application build, test, and deployment life cycles.
  • 7+ years of experience with container orchestration (Docker, EKS), including Helm and Git Ops paradigms.
  • Deep technical experience with Data Pipelines, Iceberg, MSK, and MSK Connect.
  • Proficiency in Hashicorp Vault, Git Hub Actions, and modern CI/CD modernization (Argo CD).
  • Demonstrated success in architectural leadership, cross-functional collaboration, and compliance-driven development (FedRAMP, DR).
  • B.S. or M.S. in Computer Science, Engineering, or related field, or equivalent experience.

As with all roles, Medidata sets ranges based on a number of factors including function, level,…

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