Senior Infrastructure Engineer

About the Role

Komodo aims to build the best healthcare data architecture in the industry. We are rapidly growing and expanding our infrastructure stack and adopting SRE best practices.

You will be joining the Platform team. We build, operate, and constantly improve our infrastructure offerings for 150+ client organizations. The team achieves our business goals by adopting best infrastructure practices and leveraging 100% automation to scale our product offerings and reduce costs.

First 12-Month Objectives

• Develop a deep understanding of Platform and Platform customers
• Build and operate cloud infrastructure (AWS) based on customer requirements
• Solve development and deployment challenges around making Platform infrastructure highly reliable, easy to maintain, and cost-effective
• Participate in the development, execution, and support of new feature rollouts with solution architects, forward-deployed engineers, and customer success teams
• Lead the development of improvements to data infrastructure, pipeline automation, codebase quality, and data quality
• Design, architect, and implement systems for supporting data processing tasks, including metadata, configuration, and data pipeline inputs
• Develop and contribute to existing and new monitoring and alerting systems for Platform infrastructure
• Harden infrastructure security including network, storage, and user access
• Respond to and solve key customer-reported issues in a timely manner
• Participate in an on-call rotation
• Spearhead the adoption of AI-driven development workflows, integrating LLM-based tools into the SDLC to accelerate feature delivery and reduce MTTR

Qualifications

Required

• Engineering Excellence: Proficiency in Python, deep technical troubleshooting skills, and extensive experience building backend APIs and microservices
• Cloud Infrastructure: Expert-level knowledge of AWS core services and the ability to architect scalable solutions from high-level requirements
• Infrastructure as Code & CI/CD: Proficiency in Terraform/Scalr and experience building robust CI/CD pipelines using GitHub Actions
• Networking & Connectivity: Solid understanding of networking fundamentals (subnets, CIDR, VPCs) to ensure secure, global application accessibility
• Big Data Frameworks: Knowledge of big-data tools and workflow orchestrators such as Snowflake, Databricks, Airflow, and Temporal
• AI & Productivity: Ability to leverage AI tools (Gemini, ChatGPT, Cursor) to streamline engineering workflows and enhance productivity
• Leadership & Collaboration: Proactive team player with excellent cross-team communication skills and a track record of driving complex projects to completion

Preferred

• Experience with AWS and AWS Cloud Infrastructure certifications
• Familiarity with data privacy frameworks such as HIPAA or GDPR
• Experience working with cross-functional and customer-facing teams