Software Engineer - Hybrid

Mayo Clinic•Rochester, MN

8h•$102,336 - $143,270•Hybrid

About The Position

Mayo Clinic is seeking a Software Engineer to design and build back-end services that support its portfolio of data-centric clinical and analytic applications. These applications leverage cloud computing, big data, mobile, data science, data warehousing, and machine learning using state-of-the-art software development applications and frameworks. The Software Engineers ensure 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 the practice and patients.

Requirements

Design and build back-end services
Support data-centric clinical and analytic applications
Leverage cloud computing, big data, mobile, data science, data warehousing, machine learning
Ensure cloud-based micro-services adhere to uptime and accuracy targets
Ensure micro-services are resilient and scale as data volumes and traffic increase
Work closely with data engineering, platform, and solutions teams
Programming in high-level languages such as Go, Python, Java
Work on deployment automation/configuration management
Follow a DevOps model
Create and maintain documentation of processes and source code
Communicate effectively with peers, leaders, and customers
Expert level troubleshooting
Resolve problems through root cause analysis, data and system investigation
Build knowledge of the organization, processes and customers

Responsibilities

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.
Work on deployment automation/configuration management with tools including but not limited to ADO, Puppet, Chef or Ansible or Azure Pipelines, CloudFormation, Terraform following a DevOps model.
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.
Continues to build knowledge of the organization, processes and customers.
Performs a range of mainly straightforward assignments.
Uses prescribed guidelines or policies to analyze and resolve problems.
Receives a moderate level of guidance and direction.