Senior Infrastructure Engineer

Komodo Health as a Senior Infrastructure Engineer, where you will play a crucial role in building, operating, and continuously improving our cloud-native stack and data platform. You will work closely with engineering, data, and security teams to ensure the reliability, security, and cost-efficiency of our cloud and data platform. Your responsibilities will include operating and optimizing Snowflake, building and operating AWS and Kubernetes infrastructure as code, maintaining CI/CD pipelines, and driving infrastructure optimization. This is an AI-native role, and you will be expected to work fluently with AI coding assistants and platforms.

Operar y optimizar el entorno de Snowflake en producción, monitoreando el consumo y los costos de los almacenes.

Responsibilities

• Construir y operar la infraestructura de AWS y Kubernetes como código (Terraform), implementada a través de GitOps (ArgoCD).

Requirements

• Participar en la rotación de guardia compartida y colaborar estrechamente con los equipos de desarrollo, seguridad y datos.
• Hands-on Snowflake (or comparable cloud data warehouse) experience in a production setting: SQL, warehouse operations, and query-performance fundamentals
• 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
• Hands-on experience building and operating cloud infrastructure on AWS in production, with attention to security and cost
• Strong collaboration and communication skills, and the ability to operate in a fast-paced, dynamic environment
• 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.)
• 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
• Advanced SQL and data-warehouse internals (clustering, partitioning, caching, execution plans)

Preferred

Experience with containerization and Kubernetes (Docker, k8s)

• Infrastructure-as-code proficiency with Terraform (you think IaC from inception)
• 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

• Deep hands-on Snowflake administration: warehouse sizing, resource monitoring, RBAC administration, and query optimization
• USD 157,000 - 220,000