Infrastructure Engineer

About the role

Komodo Health is scaling its cloud and data infrastructure while adopting SRE practices. You will join the Infrastructure team responsible for building, running, and refining the cloud-native stack and foundational data systems. The work spans AWS cloud infrastructure managed through code and the Snowflake data platform, with a focus on reliability, security, and cost efficiency.

Key facts

What you'll do

• Run and tune the Snowflake environment in production, including warehouse sizing, usage monitoring, cost tracking, and resolving query performance issues
• Build and operate AWS and Kubernetes infrastructure using Terraform and GitOps via ArgoCD
• Maintain and enhance CI/CD pipelines with GitHub Actions for application and infrastructure delivery
• Drive infrastructure optimization covering performance, scalability, and cost using FinOps practices, tagging, and attribution
• Harden cloud systems through IAM, RBAC, networking controls, secrets management, and compliance alignment with HIPAA and SOC2
• Build and maintain centralized observability including metrics, logs, and alerting
• Participate in the shared US business hours on-call rotation and collaborate with engineering, data, and security teams

Requirements

• Production experience with Snowflake or a comparable cloud data warehouse, including SQL, warehouse operations, and query performance fundamentals
• Hands-on experience building and operating AWS cloud infrastructure in production with attention to security and cost
• Proficiency with Terraform and infrastructure-as-code thinking from the start
• Experience with containerization and Kubernetes using Docker and k8s
• Scripting and automation skills in Python, Go, or Bash
• Experience with CI/CD pipelines using at least one tool such as GitHub Actions, Jenkins, CircleCI, or Harness
• Hands-on experience with AI-assisted engineering tools like Claude, OpenAI Codex, Cursor, GitHub Copilot, or AWS Bedrock, with judgment about safe application
• Strong collaboration and communication skills in a fast-paced environment
• This is an AI-native role requiring fluent use of AI coding assistants to accelerate Terraform and script authoring, generate runbooks and documentation, and speed up log and query analysis while validating all output before production

Nice to have

• Deep Snowflake administration experience including warehouse sizing, resource monitoring, RBAC administration, and query optimization
• Advanced SQL and data warehouse internals knowledge covering clustering, partitioning, caching, and execution plans
• Experience with big data and orchestration tools such as Spark, Airflow, or dbt
• FinOps or cloud cost optimization background
• Familiarity with data governance and compliance requirements like HIPAA or SOC2

Skills & tools

• AWS, Kubernetes, Terraform, ArgoCD, GitHub Actions
• Snowflake, SQL
• Docker, k8s
• Python, Go, Bash
• AI coding assistants (Claude, OpenAI Codex, Cursor, GitHub Copilot, AWS Bedrock)
• Observability and monitoring tools
• IAM, RBAC, secrets management

Practical notes

• San Francisco Bay Area and New York City base pay: $154,000 to $195,000 USD annually
• All other US locations base pay: $134,000 to $170,000 USD annually
• Position may be eligible for performance bonuses and equity awards
• Benefits include comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability and life insurance; and leaves of absence per applicable laws
• Role expectations for location and in-office time will be clarified before joining
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