We Breathe Life Into Data
At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, 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 our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.
As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way.
The Opportunity at Komodo Health:
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.
You will work with passionate team members across the country, and to accomplish our goal: reduce the burden of disease.
Looking back on your first 12 months at Komodo Health, you will have accomplished…
- Have developed a deep understanding of Platform and Platform customers
- Have built and operated cloud infrastructure (AWS) based on customer requirements
- Have solved any development and deployment challenges around making Platform infrastructure highly reliable, easy to maintain, and cost-effective
- Have participated in the development, execution, and support of the new feature rollout with solution architects, forward-deployed engineers, and customer success teams
- Led the development of improvements to data infrastructure, pipeline automation, codebase quality, and/or data quality.
- Designed, architected and/or implemented systems for supporting data processing tasks, like metadata, configuration and/or data pipeline inputs.
- Have developed and contributed to existing and new monitoring and alerting systems for Platform infrastructure
- Have hardened infrastructure security including network, storage, user access, etc.
- Have responded and solved 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)
What you bring to Komodo Health (required):
- Engineering Excellence: Proficiency in Python, with 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 with big-data tools and workflow orchestrators such as Snowflake, Databricks, Airflow, Temporal.
- AI & Productivity: Ability to leverage AI tools (Gemini, ChatGPT, Cursor) to streamline engineering workflows and enhance personal productivity.
- Leadership & Collaboration: A proactive team player with excellent cross-team communication skills and a proven track record of driving complex projects to completion.
Additional skills and experience we’d prioritize (nice to have)
- Experience with AWS preferred. AWS Cloud Infrastructure certification is a plus.
- Experience with data privacy concerns such as HIPAA or GDPR
- Experience working with cross-functional teams and with other customer-facing teams
- Passion! We hope you are passionate about our mission and technology
- Ownership! We hope you own your work, be accountable, and push it through the finish line. We hope you treat yourself as a cofounder and do not hesitate to share any idea that helps Komodo
- Expertise! We do not need you to know everything, but we hope you have deep knowledge in at least one area and can start contributing quickly. And we would love to learn from you in your area(s) of expertise as well.
Location: PST / Pacific timezone
#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.
The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy.
Komodo's AI Standard
At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success.
Join us in shaping the future of healthcare intelligence.
Where You’ll Work
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, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join.
Equal Opportunity Statement
Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
By submitting your application, you acknowledge that you have read and understand Komodo Health’s Privacy Notice for Employees and Contractors.
This notice explains how we collect, use, and retain applicant data.
Komodo Health San Francisco, California, USA Office
680 Folsom St, San Francisco, CA, United States, 94107
Similar Jobs
.png)
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
