Mayo Clinic Genomics and Emerging Systems Unit is recruiting a Software Engineer for a Next Generation Sequencing Pipeline Development and Validation programmer to provide application development and support for genomic analysis, tooling and infrastructure focused on automating and simplifying the data processes for both externally and internally generated genomics data from inception through final bioinformatics analysis and delivery. This position will support the needs of the Clinical Genome Sequencing Laboratory (CGSL). This position will work closely with our Consultants and our Bioinformatics team along with the Genetic Counselors, Lab Supervisors, Technicians and Operators to align, develop, and solution the tools necessary to implement a wide range of Next Generation Sequencing (NGS) tests from small gene panels to Whole Genome Sequencing, to the Epigenome and Microbiome tests. This position will be responsible for the design, development, implementation, and maintenance of custom system software, and/or the installation and maintenance of purchased systems software, as well as the configuration and support of computational cluster hardware systems in a variety of genomics and bioinformatics areas. Active participation in Agile and DevOps methodologies is expected, utilizing tools such as GitHub, Azure DevOps (ADO), Azure Pipelines, and CI/CD frameworks. Responsibilities may also extend to deployment automation and configuration management using platforms like Terraform and Azure Pipelines, supporting both on-premises and cloud-hosted applications. Evaluates alternative approaches and presents recommendations to teams and unit leadership. Regularly reviews applications and makes modifications and/or updates to ensure currency and functionality within established environment. Produces and maintains documentation such as system requirements, designs, resource inventories, and plans. Provides technical and project leadership to other staff members, demonstrates initiative, and works independently as needed to accomplish responsibilities. Works effectively across departmental organizations gaining consensus of stakeholders. May interface with vendor support service groups or other external support teams to ensure proper escalation during outages or periods of degraded system performance. Acts as a liaison to Mayo departments and vendors to adequately support the division’s computing systems. Interfaces routinely with colleagues who may be located at any of the Mayo Group practices to perform job responsibilities requiring virtual collaboration and partnership. This position will be required to provide 24/7 on-call support in a team rotation. Designs and builds 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. 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.