Principal DevOps Engineer
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 www.medidata.com. 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 at Medidata. You'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 GitOps approaches using Argo CD and GitHub Actions.
- Implement advanced logging, monitoring, and observability solutions (e.g., Grafana) to support reliability and performance.
- Collaborate cross-functionally with Engineering and Information Security (InfoSec) teams to drive the adoption of scalable, compliant (FedRAMP, DR) DevOps 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.
Competencies:
- 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 lifecycles.
- 7+ years of experience with container orchestration (Docker, EKS), including Helm and GitOps paradigms.
- Deep technical experience with Data Pipelines, Iceberg, MSK, and MSK Connect.
- Proficiency in Hashicorp Vault, GitHub 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, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region.
The salary range for positions that will be physically based in the NYC Metro Area is $184,500-246,000
The salary range for positions that will be physically based in all other locations within the United States is $165,000-220,000.
Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides best-in-class benefits, including medical, dental, life and disability insurance; 401(k) matching; flexible paid time off; and 10 paid holidays per year.
Equal Employment Opportunity:
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
We will accept applications on an ongoing basis until we fill the position.
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Déclaration de diversité
La rémunération pour ce poste sera proportionnelle à l'expérience. La fourchette de rémunération totale prévue sera :
- Remote : 165000$-220000$
- NY/NJ : 184500$-246000$
comprenant le salaire de base (ou le salaire annualisé basé sur une rémunération horaire estimée) et le bonus cible.
Générer des preuves et des informations pour aider les sociétés pharmaceutiques, biotechnologiques, de dispositifs médicaux et de diagnostics, ainsi que les chercheurs universitaires, à générer de la valeur plus rapidement, à réduire les risques et à optimiser les résultats.
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