Senior Staff AI-First Applications Engineer

Dassault Systèmes; New York (NY); Hybrid; USD 157,500 - 210,000; Full time

Benefits offered by this job

Medical insurance

401(k) matching

Paid time off

Job summary

Medidata, a Dassault Systèmes brand, seeks a Senior Staff Applications Engineer in the Patient Experience organization in New York. You will drive the technical roadmap across areas impacting Patients and Sites, influencing C# services, OLTP databases, .NET modernization, and UI components, with a strong emphasis on scalability and reliability.

You will enjoy a broad tech surface area, collaborating with PMO, QA, and product teams while leveraging AI-driven monitoring and self-healing concepts

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 Kafka, Iceberg, or similar technologies, a plus.
• Experience working in a regulated environment or with clinical research processes a plus.

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.

Skills

Full-stack leadership

Wide tech stack

CI/CD pipelines

Cloud platforms

Kubernetes

Observability

AIOps

Grafana

Kafka

Iceberg

Education

B.S. or M.S. Computer Science/Engineering

Tools

GitHub Actions

CloudFormation

Terraform

AWS

Kubernetes

Grafana

Kafka

Iceberg

Job description

Medidata, a Dassault Systèmes brand, seeks a Senior Staff Applications Engineer in the Patient Experience organization in New York. You will drive the technical roadmap across areas impacting Patients and Sites, influencing C# services, OLTP databases, .NET modernization, and UI components, with a strong emphasis on scalability and reliability.

You will enjoy a broad tech surface area, collaborating with PMO, QA, and product teams while leveraging AI-driven monitoring and self-healing concepts