[Remote] Software Engineer
Note: The job is a remote job and is open to candidates in USA. Mayo Clinic is seeking a Software Engineer to design and build back-end services that support their portfolio of data-centric clinical and analytic applications. The role involves developing cloud-based micro-services and collaborating with various teams to ensure effective application development and maintenance.
Responsibilities
- Design and build back-end services that support our portfolio of data-centric clinical and analytic applications
- Ensure that these cloud-based micro-services adhere to uptime and accuracy targets, are resilient, and scale as data volumes and traffic increase
- Work closely with the data engineering, platform, and solutions teams to develop applications as required to benefit our practice and patients
- Translate requirements into code while working closely with the Product Owners, Product Managers, Architects
- Develop services around data warehousing, big data, cloud computing, business intelligence, analytics and machine learning
- Participate in DevOps, Agile, continuous development and integration frameworks
- Program 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
- Continue to build knowledge of the organization, processes and customers
- Perform a range of mainly straightforward assignments
- Use prescribed guidelines or policies to analyze and resolve problems
- Receive a moderate level of guidance and direction
Skills
- Design and build back-end services that 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
- Work closely with data engineering, platform, and solutions teams
- Translate requirements into code
- Develop 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
- Work on deployment automation/configuration management with tools including ADO, Puppet, Chef, Ansible, Azure Pipelines, CloudFormation, Terraform
- 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
- Build knowledge of the organization, processes, and customers
- Perform a range of mainly straightforward assignments
- Use prescribed guidelines or policies to analyze and resolve problems
- Receive a moderate level of guidance and direction
Company Overview