Job Overview
Develop fit for purpose platforms, systems, infrastructure, data pipelines, and AI/ML deployment capabilities to address digital measurement, healthcare, and innovative product applications. Design, build, test, deploy, and operate production-grade platforms, backend systems, automation frameworks, and deployment pipelines for product delivery. Test for viability in order to deliver reliable, scalable, and production-ready solutions. Able to bring newly developed technologies and engineering concepts into reality quickly and on a large scale.
Essential Functions
• Leads the transformation of platform, systems, infrastructure, and AI/ML engineering expertise into viable production-ready solutions.
• Provides technical leadership and mentorship to engineering teams while actively contributing to the development and delivery of platform, data, and AI/ML infrastructure capabilities.
• Leads the development of platform, backend, cloud, data, and deployment capabilities across products and engineering initiatives.
• Evaluates and drives adoption of new architectures, technologies, and engineering approaches in collaboration with software engineers, data engineers, machine learning engineers, and architects.
• Leads the building and deployment of new production-grade platforms, backend services, data pipelines, machine learning deployment frameworks, and automation systems that can process complex, high-dimensional data and support scalable analytics, AI/ML, and digital measurement applications.
• Uses a variety of techniques in order to improve the performance, scalability, reliability, and operational efficiency of platform, data processing, and machine learning production systems.
• Leads the testing and validation of platforms, systems, infrastructure, and deployment capabilities to determine viability for production deployment.
Qualifications
• Master's Degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, Artificial Intelligence, or related field
• 10+ years' experience designing, building, and operating production-grade software platforms, distributed systems, cloud infrastructure, data pipelines, and machine learning deployment environments
• Experience designing, building, and operating production-grade platforms, backend services, distributed systems, data pipelines, and cloud-native applications
• Programming experience using Python, Java, C++, or equivalent
• Experience with cloud-native platforms, Kubernetes, DevOps/MLOps practices, CI/CD pipelines, and Infrastructure as Code
• Experience deploying, scaling, and supporting machine learning, data processing, and analytics workloads in production environments
• Experience working with large-scale production systems, cloud environments, and real-world datasets
• Experience with release management, monitoring, observability, security, and operational best practices
• Proven experience leading engineering teams and driving delivery of complex platform, data, and cloud infrastructure initiatives
• Experience leading technical solution delivery and collaborating across engineering, data science, product, and architecture teams
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
Skills Required
- Master’s degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, Artificial Intelligence, or a related field.
- 10+ years of experience designing, building, and operating production-grade software platforms, distributed systems, cloud infrastructure, data pipelines, and machine learning deployment environments.
- Experience designing, building, and operating production-grade platforms, backend services, distributed systems, data pipelines, and cloud-native applications.
- Programming experience using Python, Java, C++, or equivalent.
- Experience with cloud-native platforms, Kubernetes, DevOps/MLOps practices, CI/CD pipelines, and Infrastructure as Code.
- Experience deploying, scaling, and supporting machine learning, data processing, and analytics workloads in production environments.
- Experience working with large-scale production systems, cloud environments, and real-world datasets.
- Experience with release management, monitoring, observability, security, and operational best practices.
- Proven experience leading engineering teams and delivering complex platform, data, and cloud infrastructure initiatives.
- Experience leading technical solution delivery and collaborating across engineering, data science, product, and architecture teams.
IQVIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about IQVIA and has not been reviewed or approved by IQVIA.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, spanning medical/dental/vision plus programs like telemedicine, EAP resources, and additional insurance options. Feedback suggests the health offering is a meaningful part of the overall rewards package, though details can vary by location and plan design.
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Retirement Support — Retirement benefits include an employer match structure that supports employee contributions through a defined formula. This adds steady long-term value to total rewards beyond base salary.
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Leave & Time Off Breadth — Time off offerings include vacation/paid time off, holidays, and flexibility themes, with some roles described as having discretionary or unlimited time-off models. This can make the package feel more attractive even when cash compensation is viewed as only mid-range.
IQVIA Insights
What We Do
IQVIA (NYSE:IQV) is a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry. IQVIA creates intelligent connections across all aspects of healthcare through its analytics, transformative technology, big data resources and extensive domain expertise. IQVIA Connected Intelligence™ delivers powerful insights with speed and agility — enabling customers to accelerate the clinical development and commercialization of innovative medical treatments that improve healthcare outcomes for patients. With approximately 70,000 employees, IQVIA conducts operations in more than 100 countries. To learn more, visit www.iqvia.com.
