Site Reliability Engineer

Vdart Inc

  • Minnesota, MN
  • 5 days ago

    Highlights

    This role will operate within the Healthcare Operations subgroup of the broader Digital Health team, focused on patient engagement, care coordination, AI, healthcare analytics & interoperability amongst other advanced technologies which enhance our product portfolio with new services, while improving clinical & patient experiences. Implement end-to-end observability for AI/ML model pipelines, ensuring continuous monitoring of data quality, training outputs, model inference accuracy, and operational metrics-critical for traceability under FDA SaMD and EU MDR.

    Numbers & Facts

    LocationMinnesota, MN

    Description

    Job Title:Senior Site Reliability Engineer

    Location :Minneapolis, MN

    Duration:6 Months

    Job Description

    Job Responsibilities

    This role will operate within the Healthcare Operations subgroup of the broader Digital Health team, focused on patient engagement, care coordination, AI, healthcare analytics & interoperability amongst other advanced technologies which enhance our product portfolio with new services, while improving clinical & patient experiences. As a Site Reliability Engineer, you will be responsible for ensuring the reliability, availability, performance, and scalability of our cloud-based digital health software systems. You will work closely with development, QA, cybersecurity, and regulatory teams to design and support robust systems that meet strict medical industry standards.

    KEY RESPONSIBILITIES

    System Reliability & Monitoring:

    Contribute to the design, build, and maintenance of highly available and scalable infrastructure in AWS based cloud ecosystem

    Implement and manage observability tools (e.g., Splunk, Dynatrace, Elastic, Prometheus, Grafana, Datadog, New Relic) for real-time monitoring, logging, and alerting.

    Perform proactive performance tuning and capacity planning across various system components, including web applications, APIs and data pipelines

    Implement end-to-end observability for AI/ML model pipelines, ensuring continuous monitoring of data quality, training outputs, model inference accuracy, and operational metrics-critical for traceability under FDA SaMD and EU MDR.

    Work with product teams to identify product performance indicators (KPIs) and develop dashboards and alerts

    Incident Management & Root Cause Analysis

    Participate in incident response efforts to ensure SLA adherence and continuous improvement of Digital Health platforms

    Development and automation of solutions to improve system recovery time, recovery objectives, and resiliency

    Manage cyber security monitoring capabilities and resolution of vulnerabilities

    Security & Compliance

    Work with compliance and cybersecurity teams to ensure systems meet regulatory requirements (HIPAA, GDPR, ISO standards)

    Implement logging, access controls, and audit trails to support secure operations

    Documentation

    Develop and maintain infrastructure and operational documentation using "documentation as code"

    Ensure all runbooks, incident response procedures, and troubleshooting guides are up-to-date, version-controlled, and easily accessible

    Collaborate with cross-functional teams to document SLAs, SLOs, and system dependencies clearly and consistently

    Integrate documentation with CI/CD pipelines to enable automated validation and change tracking of system configurations

    Create and maintain automated onboarding and knowledge base resources to support team training and continuity

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