Cloud Systems Engineer

Komodo Health is dedicated to reducing the global burden of disease through smarter use of data. The Cloud Systems Engineer will be responsible for operating and optimizing the cloud infrastructure and data platform, ensuring reliability, security, and cost-efficiency while collaborating with various teams to meet compliance and security demands.

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

Requirements:

• 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
• Deep hands-on Snowflake administration: warehouse sizing, resource monitoring, RBAC administration, and query optimization
• Advanced SQL and data-warehouse internals (clustering, partitioning, caching, execution plans)
• Experience with big-data and orchestration tools (Spark, Airflow, dbt)
• FinOps or cloud cost-optimization experience
• Familiarity with data governance and compliance requirements such as HIPAA or SOC2