Senior Cloud & Data Platform Engineer

Mavens; United States; Hybrid; USD 157,000 - 220,000; Full time

Benefits offered by this job

Performance-based bonuses

Equity awards

Health, dental, and vision insurance

401(k) with company match

Disability and life insurance

Job summary

Komodo Health is expanding its cloud-native stack and data platform, seeking an engineer to maintain Snowflake environments, manage AWS and Kubernetes infra as code, and improve CI/CD pipelines. You will contribute to security, cost control, and observability while collaborating with security, data, and development teams.

The role emphasizes AI-assisted tooling usage and FinOps awareness in a dynamic, fast-paced environment with a hybrid work model across US hubs.

Qualifications

• Hands-on Snowflake or comparable cloud data warehouse experience in production.
• Hands-on experience building and operating cloud infrastructure on AWS in production with security and cost focus.
• IaC with Terraform; scripting in Python, Go or Bash; experience with CI/CD pipelines.

Responsibilities

• Operate and optimize Snowflake production warehouses and cost attribution.
• Build and operate AWS and Kubernetes infrastructure as code via Terraform and GitOps (ArgoCD).
• Maintain and improve CI/CD pipelines for delivery.
• Drive infrastructure optimization for performance, scale, and cost (FinOps).
• Harden cloud infrastructure including IAM, networking, secrets management, and compliance.

Skills

Snowflake experience

AWS production

Kubernetes

Terraform IaC

GitOps ArgoCD

CI/CD pipelines

Python/Go/Bash scripting

AI-assisted engineering tools

Collaboration and communication

Education

Bachelor's degree

Tools

Docker

Kubernetes

Snowflake

Job description

Komodo Health is expanding its cloud-native stack and data platform, seeking an engineer to maintain Snowflake environments, manage AWS and Kubernetes infra as code, and improve CI/CD pipelines. You will contribute to security, cost control, and observability while collaborating with security, data, and development teams.

The role emphasizes AI-assisted tooling usage and FinOps awareness in a dynamic, fast-paced environment with a hybrid work model across US hubs.