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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Infrastructure Engineer - **Company:** Komodo Health - **Location:** Houston, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $181,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Bash Shell, Big Data, Cloud Computing, Data Governance, Data Warehousing, Cursor, Github, Identity and Access Management, Python (Programming Language), Key Management, Query Optimization, Role-Based Access Control, Software Tools, SQL Databases, Workflow Management Systems, Circleci, Sql Optimization, GitHub Copilot, Snowflake, Apache Spark, Caching, AI Coding Agents, Containerization, Kubernetes, Claude, OpenAI Codex, Terraform, Docker, Jenkins - **Published:** October 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-infrastructure-engineer-houston-tx--7855842f-39f2-4ca1-9008-9a93bbaae7e0 ## About the Role Disease, Ecosystems, Clinical Medicine, Algorithms, Healthcare, Customer Support/Service, Customer/Client Research, Diversity, Best Practices, HIPAA (Health Insurance Portability and Accountability Act), * 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 Expectations of AI Use in this role (required): * 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. Additional skills and experience we'll prioritize… * 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. #LI-Remote The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands. ## Description * Operated and optimized our Snowflake environment in production: right-sized warehouses, monitored usage and cost, and resolved adhoc internal requests and query-performance issues. * Contributed to measurable cloud and Snowflake cost reduction through right-sizing, resource tagging and cost attribution, and eliminating idle or overprovisioned resources. * Delivered and operated production AWS and Kubernetes infrastructure through Terraform and GitOps (ArgoCD), reducing manual toil and improving reliability. * Strengthened our security and compliance posture (least-privilege IAM and RBAC, network and secrets hygiene) in line with HIPAA and SOC2 expectations. * Strengthened observability and on-call readiness, joining the shared US-business-hours rotation and improving alerting and runbooks You will accomplish these outcomes through the following 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