Cloud Systems Engineer
About The Position
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. This role exists to keep Komodo's cloud and data platform reliable, secure, and cost-efficient, so that data access, processing, and analysis stay seamless and performant for the teams that depend on them. Your work spans two core areas: our AWS cloud infrastructure, built and operated as code (IaC), and our Snowflake data platform, which you help operate and optimize. You will partner closely with engineering, data, and security teams, meeting the security and compliance demands of a rapidly evolving healthcare data landscape.
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
Nice To Haves
- 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.
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
Benefits
- comprehensive health, dental, and vision insurance
- flexible time off and holidays
- 401(k) with company match
- disability insurance and life insurance
- leaves of absence in accordance with applicable state and local laws and regulations and company policy
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
