Senior Software Engineer

2 days ago

Detroit, Michigan, United States IQVIA INC (US10) Full time
Job Summary

We are seeking a highly skilled Senior Software Engineer to join our Analytics Center of Excellence team. As a Staff Engineer, you will lead the design and development of data science applications, optimizing clinical trials business and improving risk management.

You will be a hands-on technical leader, providing architecture and shaping coding standards. You will also evangelize best practices for software engineering, including design, development, and lifecycle maintenance, and partner with multiple software engineering teams to encourage practices like code reusability/shared libraries, UX-driven design, and a culture of continuous improvement.

As a Staff Engineer, you will mentor senior engineers, sharing best practices and learning together across all disciplines of our work.

You will meet frequently with stakeholders, product managers, engineering managers, data scientists, and other individual contributor engineers to understand a wide array of technical and business impacting variables, and distill these into strategic and tactical choices that our engineering teams will use to develop and improve software products for our customers.

Along with working across the product portfolio to support multiple scrum teams, you will also be expected to work with external customers either as a consultant or as a solution engineer.

Key Responsibilities
  • Consistently deliver robust, high-quality, reliable engineering outcomes in cross-functional autonomous scrum teams
  • Lead security assessments and product readiness evaluation
  • Lead cross-team exercises, including strategic planning, developing prototypes aimed at supporting multiple products and knowledge sharing
  • Research current and emerging industry tools and techniques, and share these findings with engineers and managers
  • Drive curiosity and innovation
  • Advise ACOE engineering managers and individual contributors on best practices and standards for selection, implementation, and support of engineering technologies
  • Create partnerships with engineers and leaders from other organizations inside IQVIA
  • Demonstrate thought leadership by contributing subject matter expertise and driving new initiatives
  • Advise engineering teams on architecture approaches
  • Encourage cross-domain collaboration among engineers and engineering managers in multiple disciplines (software engineering, test engineering, and site reliability engineering)
  • Together with product managers, identify the impact of business requirements on technical requirements and delivery effort/timelines
  • Learn ACOE's products and operating environments, identify opportunities for improvement, and build consensus among ACOE engineering leadership and individual contributors to achieve those goals
Qualifications
  • 8+ years of relevant collaborative software development experience
  • 2+ years full-time engineering roles in at least four companies
  • Solid understanding of computer science fundamentals
  • Expert familiarity with multiple programming languages, including Python and JavaScript
  • Experience designing applications using a microservice-oriented architecture
  • Knowledge of Kubernetes or another container orchestration platform
  • Prior experience as an engineering leader
  • Demonstrated in-depth understanding of product development lifecycle
  • Experience with enterprise architecture, specifically the design and implementation of software solutions that integrate multiple systems
  • Demonstrated aptitude for and interest in peer mentorship
  • Growing ability to explain complex concepts to technical and non-technical audiences at a mix of levels and abilities
  • Knowledge of Agile methodology and experience working in a collaborative Agile environment
  • Previous experience evaluating the security of an application
  • Knowledge of UX principles
  • Prior management training
  • Demonstrated capability for design thinking, strategic planning, and product development
  • Familiarity with technology migrations
  • Previous experience with production-level cloud ecosystems (AWS preferred)
  • Previous experience working with large volumes of complex data, including modern ETL processes and tools, e.g. Airflow

We appreciate experience with:

  • Experience designing CI/CD pipelines
  • Experience with building, testing, measuring, and deploying machine learning models in production
  • Experience working in the Hadoop ecosystem
  • Experience with clinical domain and with regulated data
  • Experience with prompt engineering and integration of LLMs into traditional web applications
  • Experience with JavaScript framework

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