Cloud Systems Engineer, Komodo Health

• 8+ years in data engineering or warehousing, including 5+ years of hands-on experience managing large-scale environments (warehouse sizing, resource monitoring, query optimization, and security governance) in a production setting
• Demonstrated success reducing query runtimes and eliminating bottlenecks through deep understanding of clustering, partitioning, caching, and execution plans
• A track record of reducing data warehouse spend by implementing auto-scaling strategies, eliminating idle compute, and partnering with engineering teams to rewrite or restructure high-cost workloads
• Expert-level SQL combined with proficiency in Python, Terraform, or similar for automation, monitoring, and orchestration of Snowflake resources
• Strong background in implementing metadata tagging, role-based access control (RBAC) to support governance, cost attribution, and ownership
• Proven ability to operate strategically and tactically, partnering with analytics engineers, data scientists, and infrastructure teams to align performance and cost strategy with business objectives while delivering hands-on, measurable results
• Deep familiarity with cloud platform integrations across AWS, Azure, or GCP, including tools such as Darabricks, Airflow, dbt, and observability platforms like New Relic or Tableau; experience with Snowflake is a plus but not required
• Hands-on Snowflake (or comparable cloud data warehouse) experience in a production setting: SQL, warehouse operations, and query-performance fundamentals
• Hands-on experience building and operating cloud infrastructure on AWS in production, with attention to security and cost
• Infrastructure-as-code proficiency with Terraform (you think IaC from inception)
• Experience with containerization and Kubernetes (Docker, k8s)
• Scripting and automation skills in Python, Go, or Bash, plus experience with CI/CD pipelines and at least one tool (GitHub Actions, Jenkins, CircleCI, Harness, etc.)
• Hands-on experience with AI-assisted engineering tools (e.g. Claude, OpenAI Codex, Cursor, GitHub Copilot, AWS Bedrock) and sound judgment about when and how to apply them safely
• Strong collaboration and communication skills, and the ability to operate in a fast-paced, dynamic environment
• This is an AI-native role. We expect you to work fluently with AI coding assistants and platforms (such as Claude, OpenAI Codex, Cursor, GitHub Copilot, or AWS Bedrock) to accelerate Terraform and script authoring, generate and maintain runbooks and documentation, and speed up log and query analysis, while reviewing and validating all generated output before it reaches production

Desirable

• 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 seamless and performant for the teams that depend on them
• Your work spans two core areas: our AWS cloud infrastructure, built and operated as code (IaC), and our Snowflake data platform, which you help operate and optimize
• You will partner closely with engineering, data, and security teams, meeting the security and compliance demands of a rapidly evolving healthcare data landscape
• Looking back on your first 12 months at Komodo Health, you will have accomplished…
• Operated and optimized our Snowflake environment in production: right-sized warehouses, monitored usage and cost, and resolved adhoc internal requests and query-performance issues
• Contributed to measurable cloud and Snowflake cost reduction through right-sizing, resource tagging and cost attribution, and eliminating idle or overprovisioned resources
• Delivered and operated production AWS and Kubernetes infrastructure through Terraform and GitOps (ArgoCD), reducing manual toil and improving reliability
• Strengthened our security and compliance posture (least-privilege IAM and RBAC, network and secrets hygiene) in line with HIPAA and SOC2 expectations
• Strengthened observability and on-call readiness, joining the shared US-business-hours rotation and improving alerting and runbooks
• You will accomplish these outcomes through the following responsibilities…
• Operate and optimize Snowflake: monitor warehouse consumption and cost, administer RBAC and metadata tagging for cost attribution, and triage query-performance issues and internal requests
• Build and operate AWS and Kubernetes infrastructure as code (Terraform), deployed via GitOps (ArgoCD)
• Maintain and improve CI/CD pipelines (GitHub Actions) for application and infrastructure delivery
• Drive infrastructure optimization across performance, scalability, and cost (FinOps practices, tagging, attribution)
• Harden cloud infrastructure: IAM and RBAC, networking, secrets management, and compliance alignment
• Build and maintain centralized observability (metrics, logs, alerting)
• Participate in the shared US-business-hours on-call rotation and collaborate closely with developer, security, and data teams