Job Overview
Develop fit for purpose backend platforms, data pipelines, orchestration frameworks, and machine learning deployment capabilities that enable digital measurement and AI-driven products. Design, build, test, deploy, and support production-grade systems responsible for data ingestion, feature processing, algorithm execution, model deployment, and scalable delivery of AI/ML capabilities. 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
• Designs and develops backend services, APIs, data pipelines, and orchestration frameworks supporting digital measurement and AI-enabled products.
• Implements production-grade systems for data ingestion, feature processing, algorithm execution, model deployment, and machine learning workflow automation.
• Collaborates with software engineers, data engineers, machine learning engineers, and architects to translate advanced algorithms into scalable production systems.
• Builds and supports backend platforms and automation systems capable of processing complex, high-dimensional data and supporting machine learning workloads at scale.
• Uses a variety of techniques in order to improve the performance, scalability, reliability, and efficiency of backend systems, data pipelines, and machine learning production workflows.
• Guides the testing and validation of services, pipelines, and deployment capabilities to ensure production readiness and operational reliability.
• Contributes to engineering standards, software quality, code reviews, and platform best practices.
• Provides technical leadership and mentorship to engineering team members while contributing as a hands-on individual contributor.
Qualifications
• Bachelor's Degree or Master's Degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, Artificial Intelligence, or related field
• 8+ years' experience designing, building, and supporting production-grade backend systems, distributed applications, data pipelines, and machine learning deployment environments
• Experience building APIs, backend services, workflow orchestration systems, and scalable data processing applications
• Programming experience using Python, Java, C++, or equivalent
• Experience deploying and supporting machine learning, data processing, and analytics workloads in production environments
• Experience working with cloud-native architectures, Kubernetes-based environments, CI/CD pipelines, and modern software development practices
• Experience working with large-scale production systems, cloud environments, and real-world datasets
• Experience with software testing, monitoring, observability, performance optimization, and engineering best practices
• Experience 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
- Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, Artificial Intelligence, or a related field
- 8+ years of experience designing, building, and supporting production-grade backend systems, distributed applications, data pipelines, and machine learning deployment environments
- Experience building APIs, backend services, workflow orchestration systems, and scalable data processing applications
- Programming experience using Python, Java, C++, or equivalent
- Experience deploying and supporting machine learning, data processing, and analytics workloads in production environments
- Experience with cloud-native architectures, Kubernetes-based environments, CI/CD pipelines, and modern software development practices
- Experience with large-scale production systems, cloud environments, and real-world datasets
- Experience with software testing, monitoring, observability, performance optimization, and engineering best practices
- Experience 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.
