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Cloud Systems Engineer

Komodo Health·US·United States·mid
snowflakekubernetesterraformawssregithub actions
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We Breathe Life Into Data At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way. The Opportunity at Komodo Health Komodo Health is rapidly growing and expanding both our cloud infrastructure and our data platform while adopting SRE best practices. You will join the Infrastructure team, which builds, operates, and continuously improves the cloud-native stack (AWS, Kubernetes, Terraform, ArgoCD, GitHub Actions) and the foundational systems that power our data ecosystem, including Snowflake for data warehousing. Beyond keeping these systems reliable, scalable, and secure, the team drives data governance, cost and FinOps discipline, and compliance alignment (HIPAA, SOC2). We work in an international context toward one goal: reduce the burden of disease. This role exists to keep Komodo's cloud and data platform reliable, secure, and cost-efficient, so that data access, processing, and analysis stay s

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