IT Senior Software Engineer - Remote

We are seeking a Senior Software Engineer to design and build back-end services that support our portfolio of data-centric clinical and analytic applications. These applications leverage cloud computing, big data, mobile, 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. They work closely with the data engineering, platform, and solutions teams to develop applications as required to benefit our practice and patients.

• Works closely with the Product Owners, Product Managers, Architects to translate requirements into code.
• Developing services around data warehousing, big data, cloud computing, business intelligence, analytics and machine learning.
• 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.
• Leads targeted cross-functional improvement efforts and mentors more junior software engineers.
• Solves complex problems; takes a new perspective on existing solutions. 
• Work independently with minimal guidance. You may lead projects or project steps within a broader project or have accountability for ongoing activities or objectives. 
• Act as a resource for colleagues with less experience.

Bachelor's Degree in Computer Science/Engineering or related field with 5 years of experience as noted below; OR an Associate’s degree in Computer/Science/Engineering or related field with 7 years of experience. 

Have in-depth knowledge of software engineering with experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.) and a basic knowledge of related fields. 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. Deep hands-on technical expertise, excellent verbal and written communication skills. Experience with Agile software development techniques.

Other qualifications for the role include:

• Minimum 3 years of developing solutions with Python
• Proficiency in Google Cloud Platform and containerization (Docker)
• Experience with Generative AI and RAG implementations
• Experience with distributed systems, storage systems, and databases
• Familiarity with infrastructure-as-code tooling (Terraform)
• Experience with Agile software development techniques.
• 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. Deep hands-on technical expertise, excellent verbal and written communication skills.
• Adept at working collaboratively within a team environment to accomplish goals
• Bachelor's Degree in Computer Science or related field.

Preferred Qualifications:

• Master's degree in Computer Science/Engineering or related field.
• Google Cloud Platform Certification
• Proficiency with Google Dataflow
• Knowledge of the healthcare domain, including clinical workflows, electronic health records, medical terminologies, regulatory requirements, and industry standards.
• Familiarity with systems or quality engineering best practices, regulatory standards, and compliance frameworks, with the ability to adapt these effectively to different project scenarios.
• Experience in databases, analytics, big data systems or business intelligence products.

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 pe