Senior Infrastructure Engineer

About the role

At Komodo Health, we aim to build the best healthcare data architecture in the industry. As part of the Platform team, you will help build, operate, and constantly improve our infrastructure offerings for 150+ client organizations. The team adopts best infrastructure practices and leverages 100% automation to scale product offerings and reduce costs. You will collaborate with passionate team members across the country to reduce the burden of disease.

Looking back on your first 12 months at Komodo Health, you will have accomplished:

• Developed a deep understanding of Platform and its customers
• Built and operated cloud infrastructure (AWS) based on customer requirements
• Solved development and deployment challenges to make Platform infrastructure highly reliable, easy to maintain, and cost-effective
• Participated in the development, execution, and support of new feature rollouts with solution architects, forward-deployed engineers, and customer success teams
• Led improvements to data infrastructure, pipeline automation, codebase quality, and/or data quality
• Designed, architected, and/or implemented systems for supporting data processing tasks, such as metadata, configuration, and data pipeline inputs
• Developed and contributed to existing and new monitoring and alerting systems for Platform infrastructure
• Hardened infrastructure security, including network, storage, and user access
• Responded to and resolved key customer-reported issues in a timely manner
• Participated in an on-call rotation
• Spearheaded the adoption of AI-driven development workflows, integrating LLM-based tools into the SDLC to accelerate feature delivery and reduce mean time to resolution (MTTR)

Responsibilities

• Architect, build, and operate scalable cloud infrastructure (AWS) based on customer requirements
• Develop and maintain highly reliable, easy-to-maintain, and cost-effective infrastructure solutions
• Collaborate with cross-functional teams, including solution architects, forward-deployed engineers, and customer success teams, to roll out new features
• Improve data infrastructure, pipeline automation, codebase quality, and data quality
• Design and implement systems for data processing tasks, such as metadata, configuration, and data pipeline inputs
• Enhance monitoring and alerting systems for Platform infrastructure
• Strengthen infrastructure security, including network, storage, and user access
• Resolve customer-reported issues promptly
• Participate in an on-call rotation
• Drive the adoption of AI-driven development workflows to accelerate feature delivery and reduce MTTR

Requirements

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

Qualifications

Nice to have:

• AWS Cloud Infrastructure certification
• Experience with data privacy concerns such as HIPAA or GDPR
• Experience working with cross-functional and customer-facing teams
• Passion for Komodo’s mission and technology
• Strong sense of ownership, accountability, and the ability to push work through to completion
• Deep expertise in at least one area, with the ability to contribute quickly and share knowledge

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 company policy
• Performance-based bonuses (as determined by the Company’s sole discretion and in accordance with a written agreement or plan)
• Eligibility for equity awards

Pay

San Francisco Bay Area and New York City: $176,000—$210,000 USD

All Other US Locations: $153,000—$190,000 USD

Schedule

Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary—some can be performed from anywhere in the country, while others are scoped to a specific region or require proximity to a hub. Expectations will be clearly communicated before joining.

Time zone: PST / Pacific timezone

About Komodo Health

At Komodo Health, our mission is to reduce the global burden of disease through smarter use of data. We built the Healthcare Map—the industry’s largest, most complete, and precise view of the U.S. healthcare system—by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as the foundation for a powerful suite of software applications that help answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we help clients unlock critical insights to track patient behaviors, treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.

Our values guide us: be awesome, seek growth, deliver “wow,” and enjoy the ride. You’ll join a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion for our mission—and for enjoying the journey along the way.

Komodo's AI Standard

At Komodo, we’re leading the AI revolution in healthcare. AI is foundational to our work, and we expect every team member to integrate AI into their daily workflows—from summarizing documents to automating workflows and uncovering insights. This isn’t just about efficiency; it’s about making every moment more meaningful, building trust in AI, and driving collective success. Join us in shaping the future of healthcare intelligence.