Quick Overview
Job Description
Minneapolis, MN – Onsite role
Job Description
MUST HAVE (Minimum Qualifications)
• 7 years of experience in SRE, DevOps, or related application delivery & infrastructure roles
• AWS Platform: Hands on experience with AWS services - in particular serverless architectures (CloudWatch, S3, RDS, Lamba, IAM, API Gateway, etc…) supporting API development in a microservices architecture
• Infrastructure as Code: Experience with Terraform and CloudFormation - Proven ability to write and manage Infrastructure as Code (IaC)
• Programming Languages: Strong programming skills in Python
• Data Formats: Experience with JSON, XML and other relevant data formats
• CI/CD Tools: experience setting up and managing CI/CD pipelines using GitLab CI, Jenkins, or similar tools
• Scripting and automation: experience in scripting language such as Python, TypeScript, etc…
• Monitoring and Logging: Familiarity with monitoring & logging tools like Splunk, Dynatrace, Elastic, Prometheus, Grafana, Datadog, New Relic
• Source Code Management: Expertise with git commands and associated VCS (Gitlab, Github, Gitea or similar)
• Documentation: Experience with markup syntax and Docs as Code for creating technical documentation
NICE TO HAVE (Preferred Qualifications)
Strongly Preferred:
Previous Healthcare or Medical Device experience
Experience working with Healthcare Data
Building software classified as Software as a Medical Device (SaMD)
Experience implementation enterprise grade cyber security & privacy by design into software products
Experience developing global applications
Strong understanding of SDLC – Waterfall & Agile methodologies
Experience leading software development teams onshore and offshore
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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