Senior Software Engineer (Python / Full-Stack / DevOps)

About the Role IQVIA is seeking an experienced Senior Software Engineer to join our strategic Customer360 (C360) program, a high-visibility initiative designed to consolidate healthcare professional (HCP) data from clinical, scientific, and digital sources into a unified, AI-ready platform. The platform powers advanced analytics, intelligent search experiences, APIs, agentic AI solutions, and customer data products across IQVIA. As a Senior Software Engineer, you will play a key role in designing, developing, and maintaining scalable software solutions across the full technology stack. You will contribute to backend services, frontend applications, cloud environments, and platform engineering while helping build a self-sufficient engineering team capable of supporting all aspects of the C360 ecosystem. This role is ideal for a versatile engineer who enjoys moving between backend development, frontend experiences, cloud infrastructure, and data-focused initiatives while leveraging modern AI-assisted development practices. Key Responsibilities Design, develop, and maintain scalable backend services and microservices using Python. Build and enhance full-stack applications spanning React frontends and API-based backend services. Develop, deploy, and operate containerized applications using Docker and Kubernetes. Contribute to cloud-native solutions running on Azure. Collaborate on CI/CD pipelines and deployment automation using GitLab. Integrate and process large-scale healthcare and customer data within the C360 platform. Participate in architectural discussions and contribute to technical decision-making. Write automated tests and maintain high standards of software quality. Review code, mentor junior engineers, and provide technical guidance across the team. Participate in Agile ceremonies including sprint planning, refinement sessions, stand-ups, and retrospectives. Support knowledge sharing and contribute to maintaining pragmatic technical documentation. Leverage AI-assisted development tools to accelerate delivery, improve code quality, and enhance productivity. Required Qualifications Education Bachelor's degree or higher in Computer Science, Software Engineering, Information Systems, or a related field (or equivalent practical experience). Experience 4–6+ years of professional software engineering experience. Proven experience delivering production software solutions independently. Experience working in Agile product development environments. Required Technical Skills Backend Development Advanced Python development experience. Strong knowledge of RESTful APIs and Microservice Architecture. Experience designing scalable backend services. Strong understanding of software engineering best practices and design patterns. Full-Stack Development Experience with Node.js. Experience developing frontend applications using React. Ability to contribute across frontend and backend technologies. Comfortable owning features end-to-end. Cloud & Platform Engineering Hands-on experience with Docker. Hands-on experience with Kubernetes. Experience working within Azure environments. Understanding of cloud-native application deployment patterns. Familiarity with Infrastructure-as-Code concepts and modern platform engineering practices. DevOps & Delivery Experience working with GitLab CI/CD pipelines. Understanding of Continuous Integration and Continuous Delivery practices. Experience troubleshooting and maintaining deployment pipelines. Ability to contribute to DevOps and CloudOps activities when required. Databases & Data Technologies Strong SQL skills. Experience with relational databases such as PostgreSQL. Familiarity with analytical platforms such as Snowflake. Understanding of data integration and data pipeline concepts. Preferred Qualifications Experience with one or more of the following technologies is highly desirable: Databricks Apache Spark ETL and Data Pipeline Development Machine Learning Algorithms Applied AI Solutions Large Language Models (LLMs) Vector Databases Graph Databases Elasticsearch TypeScript Observability, Monitoring, Logging, and Alerting Solutions Terraform and Infrastructure-as-Code Azure Networking, Security, and Identity Management Cloud Cost Optimization Model Context Protocol (MCP) Agentic AI Frameworks and Architectures Key skills Successful candidates will demonstrate the ability to: Move seamlessly between backend, frontend, infrastructure, and data-focused workstreams. Contribute independently to complex technical initiatives. Adapt quickly as priorities and platform needs evolve. Support the development of a self-sufficient engineering team. Take ownership of technical solutions while collaborating effectively across functions. Leverage AI tools effectively while maintaining strong software engineering standards. Mentor less experienced engineers and elevate team capabilities. Why Join IQVIA? Work on a strategic global platform with executive visibility. Be part of the expansion of IQVIA's engineering hub in Brazil. Build next-generation healthcare data and AI solutions. Collaborate with global engineering teams across multiple regions. Gain exposure to cloud-native platforms, AI technologies, data engineering, and modern software architecture. Join a team that values adaptability, innovation, continuous learning, and technical excellence. 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 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.