Senior Platform Engineer

Job Description

Under the direction of the Director - Platform Technology and the Principal Platform Integration Engineer, this team member will support the direct execution and delivery of all technical aspects of Mayo Clinic Platform's technology roadmap. The Senior Platform Engineer will also serve as a technical liaison with other functions within the enterprise.

The position will be responsible for the following essential functions:

• Applies the principles of well-architected frameworks to the design and deployment of key foundational functions within Mayo Clinic Platform.
• Design, develop, and maintain healthcare interoperability solutions that enable the secure and efficient exchange of healthcare data between systems and applications.
• Collaborate with cross-functional teams to gather and analyze requirements, and translate them into technical specifications and architectural designs.
• Implement robust and scalable backend solutions using Java and/or .NET, ensuring data integrity, security, and compliance with healthcare standards such as HL7 and FHIR.
• Develop and maintain front-end applications using React to provide user-friendly interfaces for healthcare professionals and patients.
• Integrate third-party healthcare systems, APIs, and data sources into our platform, ensuring seamless interoperability.
• Work closely with cloud architects to deploy and manage healthcare solutions on the Google Cloud Platform (Google Cloud Platform).
• Implement and maintain Dev Ops practices, including CI/CD pipelines, to automate deployment and ensure high availability and performance of healthcare applications.
• Collaborate with data engineers to manage and analyze healthcare data, extracting valuable insights to drive healthcare decision-making.
• Stay current with industry trends and emerging technologies in healthcare interoperability, Java, .NET, React, and Google Cloud Platform.
• Works closely with the product and solutions team to understand opportunities and assist with the integration to the platform as well as develop repeatable mechanisms such that single-use integrations are minimized.
• Partners with the solutions and implementation/support team to design, develop and deploy management and support tooling for all aspects of the platform's operations. This may include things like monitoring/surveillance tools, access and utilization logging.
• Assists in the development and may oversee the Mayo Clinic Platform Technology team's compliance with SLAs or OLAs in partnership with the implementation/services team.
• Supports and advises the execution of the Mayo Clinic Platform Technical roadmap.
• Acts as a mentor and coach for other technical team members within Mayo Clinic Platform, supporting technical growth and systems based thinking.
• In collaboration with the Mayo Clinic Platform product team, defines and implements proper Software Development Life Cycle (SDLC) processes in sync with Product Development Life Cycle (PDLC) processes.

The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties may be added or assigned.

Qualifications

• Bachelor's degree in a relevant IT field, or 7+ years of engineering experience with at least 2 years in a senior capacity - ideally in ML infrastructure, distributed systems, or platform engineering.
• 3-5 years working in diverse environments utilizing Agile principles of software development.
• Strong proficiency in Python, Java, Go, or similar languages, with experience building production-grade ML serving systems.
• Hands-on experience with model serving technologies (e.g., Torch Serve, Tensor Flow Serving, Triton, KServe) and REST/gRPC API development
• Solid understanding of Docker, Kubernetes, and container orchestration for ML workloads, including resource management and scaling strategies
• Hands-on experience with cloud platforms (AWS, Azure, Google Cloud Platform) and infrastructure-as-code.
• Modern Dev Ops tooling experience - building and maintaining CI/CD pipelines with tools like Git Hub Actions, Jenkins, or ArgoCD, and working across platforms like Google Cloud Platform or Azure Dev Ops
• Working knowledge of model optimization techniques, caching strategies, and infrastructure performance tuning.
• Excellent communication skills - able to translate complex technical requirements across diverse stakeholders.
• Pragmatic engineering mindset: solve the problem in front of you without over-engineering for problems you don't have yet.
• Bonus: experience with federated learning or GPU workloads

About Us

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at…