Software Engineer - Hybrid
About The Position
The Cardiovascular Systems Unit is seeking a Software Engineer to support AI and research initiatives by operationalizing machine learning solutions, developing cloud-hosted applications, integrating clinical systems, and partnering with data scientists, researchers, and clinical stakeholders. Success in this role requires a highly flexible engineer who can navigate changing priorities, rapidly learn new technologies, and transform proof-of-concept solutions into production-ready systems. 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.
Requirements
- Operationalizing machine learning solutions
- Developing cloud-hosted applications
- Integrating clinical systems
- Partnering with data scientists, researchers, and clinical stakeholders
- Navigating changing priorities
- Rapidly learning new technologies
- Transforming proof-of-concept solutions into production-ready systems
- Ensuring cloud-based micro-services adhere to uptime and accuracy targets
- Ensuring cloud-based micro-services are resilient
- Ensuring cloud-based micro-services scale as data volumes and traffic increase
- 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.
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.
Benefits
- Competitive compensation
- Comprehensive benefit plans
- Continuing education and advancement opportunities
- Medical: Multiple plan options.
- Dental: Delta Dental or reimbursement account for flexible coverage.
- Vision: Affordable plan with national network.
- Pre-Tax Savings: HSA and FSAs for eligible expenses.
- Retirement: Competitive retirement package to secure your future.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
