Sr. Integration Engineer
Sarah Cannon Research InstituteAbout the role
It’s More Than a Career, It’s a Mission.
Our people are the foundation of our success. By joining our growing team at Sarah Cannon Research Institute (SCRI), a subsidiary of McKesson, you will have the opportunity to become part of one of the largest community-based cancer programs to advance oncology treatments and improve outcomes for cancer patients across the globe. We look for mission-driven candidates who have a desire to advance the fight against cancer and make a difference in the lives of patients diagnosed with cancer every day.
Our Mission
People who live with cancer – those who work to prevent it, fight it, and survive it – are at the heart of every decision we make. Bringing the most innovative medical minds together with the most passionate caregivers in their communities, we are transforming care and personalizing treatment. Through clinical excellence and cutting-edge research, SCRI is redefining cancer care around the world.
As a Senior Integration Engineer, you will serve as the visionary architect of our integration frameworks. Your role is critical, ensuring the flawless development, deployment, and optimization of integration solutions across complex systems. You will spearhead efforts to harmonize system components, deftly balancing cost, risk, and supportability to deliver exceptional, scalable solutions. Your expertise will translate business and technical requirements into cohesive integration strategies that meet technical, schedule, and budgetary demands. Armed with a robust set of tools and technologies, you'll perform functional analysis, timeline analysis, and map requirements to solutions, transforming visionary ideas into connected, intelligent systems.
Duties include but are not limited to:
System Design & Integration:
Lead the deployment of integration solutions that transform manual business processes into efficient, automated systems.
Design, develop, and validate complex integration architectures using APIs, middleware (e.g., Kafka), and cloud-native services.
Develop and implement strategies to optimize integration performance, reliability, and scalability.
Technical Leadership:
Serve as the technical lead, guiding cross-functional teams to achieve integration milestones and objectives.
Mentor and develop junior engineers, fostering a culture of innovation and excellence in integration practices.
Analysis & Problem Solving:
Conduct in-depth functional, timeline, and trade studies to evaluate integration options and make informed decisions.
Address unusually complex integration challenges with creative and effective solutions, leveraging independent judgment and expertise.
Program Management:
Collaborate with project managers to oversee the integration lifecycle from requirements to implementation, ensuring all phases meet technical, schedule, and cost constraints.
Coordinate internal and external resources, managing stakeholder relationships to facilitate integration success.
Innovation & Development:
Leverage cloud-native tools and automation to drive innovation, improve integration capabilities, and enhance decision-making processes.
Contribute to the development of groundbreaking integration principles, patterns, and frameworks.
Continuously seek opportunities to implement AI and automation technologies in optimizing integration workflows.
Mandatory:
The following are mandatory expectations of all SCRI employees:
Practices and adheres to the “Code of Conduct” philosophy and “Mission and Value Statement.”
During your employment with SCRI, you will be routinely assigned training requirements. You are expected to complete any training assignments by the due date.
Knowledge:
Experience working in a clinical research or healthcare setting.
Experience with cloud platforms like Azure, AWS, or Google Cloud for scalable and secure data processing.
Experience ensuring interoperability between different clinical systems and platforms.
Extensive knowledge of integration and engineering principles, theories, and concepts.
Skills:
Proficiency in API development, Kafka, and middleware integration.
Strong programming and scripting skills in Python, Java, and SQL.
Experience with Azure Functions,
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