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Infrastructure Engineer

Mavens Vereinigte Staaten ; Vereinigte Staaten (whole country)
Employment contract Remote work

Publication date: 30/08/2026

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.

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; Fluency 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

Nice to have

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

Benefits

Performance-based bonuses; Equity awards; Comprehensive health, dental, and vision insurance; Flexible time off and holidays; 401(k) with company match; Disability insurance and life insurance; Leaves of absence
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