Principal Software Engineer- Remote

Rochester, MN, United States

Apply now Apply later

We are seeking a highly motivated and experienced individual to join our team as Principal Software Engineer in Enterprise Platform Services (EPS) Division. 

Primary Responsibilities:

The Principal Software Engineer will partner with multidisciplinary team, including clinicians, researchers, AI scientists to deploy AI/ML solutions into clinical practice to enhance patient care and operational efficiency. These solutions leverage cloud computing, big data, data science, data warehousing, machine learning using state of the art software development applications and frameworks. Our Software Engineers ensures that these cloud-based micro-services adhere to uptime and accuracy targets, are resilient, and scale as data volumes and traffic increase. 

Other Responsibilities:

  • Develop and foster strategies and directions that support cross-division goals and objectives.  
  • Works closely with the Product Owners, Product Managers, Architects to translate requirements into code.
  • Participate in DevOps, Agile, continuous development and integration frameworks.
  • Programming in high-level languages such as Go, Python, Java etc.
  • Ensure all appropriate documentation of processes and source code is created and maintained
  • Communicate effectively with peers, leaders, and customers throughout the organization.
  • Participate in expert level troubleshooting and resolve problems through root cause analysis, data and system investigation.
  • Contributes to design and architecture discussions with Principals and Architects.
  • Ensure compliance with regulatory requirements (e.g. HIPAA) and Mayo Clinic policies and guidelines for information security and systems architecture
  • Leads targeted cross-functional improvement efforts and mentors more junior software engineers.
  • Interpret internal or external issues and recommend solutions/best practices, solving complex problems with a broad perspective to identify solutions. 
  • May lead functional teams or projects. 
  • Ability to works independently, with guidance in only the most complex situations.

Bachelor's Degree in Computer Science/Engineering or related field with 10 years of experience as noted below; or Associate’s Degree in Computer Science / Engineering or related field with 12 years of experience as noted below. 

Top skills:

  • Cloud architecture experience. Google Cloud preferred; AWS/Azure considered
  • AI/ML experience, especially with Generative AI/LLMs
  • Healthcare data experience (HL7, FHIR, DICOM) or experience with other large cloud data warehouse in a highly regulated environment
    • Experience integrating with Electronic Health Record (EHR) via SMART, CDS hooks, etc will also be valuable for this position
  • Strong communicator able to coordinate between leadership, non-technical customers, and engineering staff

General qualifications:

  • Demonstrated problem solving and time management skills. 
  • Possesses strong technical aptitude for designing and implementing software solutions. 
  • Experience with modern application development frameworks. 
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. 
  • Experienced with committee and consensus-managed, physician-led organization. 
  • Requires skill in effective decision making and effective consensus management. 
  • Deep hands-on technical expertise, excellent verbal and written communication skills. 
  • Experience with Agile software development techniques. 
  • Demonstrated history of continuing education in personnel and administrative processes. 
  • Experience with personnel management, resource allocation, coaching and mentoring.
  • Experience working in healthcare technology. 
  • Experience with managing both custom developed and vendor-supplied products and services. 
  • Travel will be required for this position.

Licensure/Certification Required:

  • Google Cloud Certification required in 2 years after accepting the position. 

Preferred Qualifications:

  • Master's degree in Computer Science/Engineering or related field with 6 years of experience preferred.
  • Ability to use a wide variety of open-source technologies and cloud-based services.
  • Experience in databases, analytics, big data systems or business intelligence products.
  • Experience building high-performance, highly available and scalable distributed systems.
  • Experience developing software for healthcare related industries.

Authorization to work and remain in the United States, without necessity for Mayo Clinic sponsorship now, or in the future (for example, be a U.S. Citizen, national, or permanent resident, refugee, or asylee). Also, Mayo Clinic does not participate in the F-1 STEM OPT extension program.


This position will accept applications until 07/23/2024.  This deadline may be extended if the necessary candidate pool is not met by this date.

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 every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed.
Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  3  0  0
Category: Engineering Jobs

Tags: Agile Architecture AWS Azure Big Data Business Intelligence Computer Science Data warehouse Data Warehousing DevOps DICOM Distributed Systems Engineering GCP Generative AI Google Cloud Healthcare technology HL7 Java LLMs Machine Learning Open Source Python SDLC Security STEM Testing

Perks/benefits: Career development Competitive pay Equity / stock options

Regions: Remote/Anywhere North America
Country: United States

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.