Senior Staff Applications Engineer

Location: Hybrid, New York

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:

As a Senior Staff Applications Engineer in Medidata's Patient Experience organization, you'll drive the technical roadmap across areas that positively impact Patients and Sites.

To succeed on this team, engineers need to be comfortable working across a broad technical surface area. That means your efforts will have an impact across multiple areas, such as with C# services, OLTP databases, modernizing foundational .NET Framework services, and building UI components. We value engineers who enjoy variety, can adapt to different problem spaces, and are energized by learning new technologies as part of a highly collaborative team.

Performance of these systems is also critical, as we consider the reliability, scalability, and operational excellence of these platform systems, while leveraging AIOps to shift our SRE mindset from reactive problem-solving to proactive, predictive reliability management.

Responsibilities:

• Develop new features and enhance scalability by writing straightforward, maintainable code that prioritizes architectural simplicity.
• Champion AI-first engineering practices, creatively utilizing new tools and industry advancements to solve complex data processing and reliability challenges
• Collaborate with engineering managers and architects on technical decision-making for complex systems.
• Troubleshoot production and escalated issues, providing workarounds and solutions in a timely manner.
• Mentor and guide other engineers in code reviews, and system design, ensuring best practices are followed
• Guide teams on observability, and alerting best practices, while driving the adoption of machine learning and agentic approaches to anomaly detection and intelligent alerting
• Lead hazards reviews and post-incident analyses, driving proactive and preventive reliability improvements leveraging AI to synthesize insights and develop self-healing systems.
• Promote a culture of collaboration and communication within the team.
• Sync with product, PMO, and QA teams to deliver high-quality software.
• Participate in cross-functional projects, contributing to broader engineering initiatives.
• Stay current with new technologies and apply them to improve our software offerings.

Qualifications:

• B.S. or M.S. Computer Science, Engineering, related field or relevant experience
• Proven technical leader within an Agile development environment with strong communication and collaboration skills
• 10-12 years of software development experience including 5+ years experience with full-stack large scale projects in an enterprise environment
• Proficient in .NET, Ruby, Python, or other object-oriented languages
• Experience designing and developing application CI/CD pipelines using tools like GitHub Actions, CloudFormation, and Terraform.
• Understanding of cloud platforms (AWS preferred) and container orchestration technologies (Kubernetes required)
• Strong understanding of observability concepts (metrics, logs, traces, alerting) and hands-on experience with modern monitoring, telemetry tools, and automation
• Experience in AIOps creating and implementing machine learning and agentic monitoring and action tools, a plus
• Experience with Grafana or similar cloud-native monitoring stacks, a plus
• Experience building scalable data pipelines using Kakfa, Iceberg, or similar technologies, a plus
• Experience working in a regulated environment or with clinical research processes a plus

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 New York is $157,500- $210,000.

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 benefits, including medical, dental, life and disability insurance, 401(k) matching, family leave, 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.

Note: Please be on the lookout for job scams. Medidata recruiters will never ask applicants for monetary compensation, credit card, or banking details.