Senior Software Engineer, Data Infrastructure
San Francisco, California
Applications have closed
Komodo Health
Access the industry’s most precise view of the U.S. healthcare system through Komodo's Healthcare Map, a combination of the most comprehensive view of patient encounters with innovative algorithms and decades of clinical expertise.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:
The Infrastructure team’s mission is to build scalable, secure, reliable, and observable platforms, services, and tools that enable our data scientists and data engineers. We help our organization build the pipelines that ingest and analyze petabytes of healthcare data that feed our products and data platform.
Looking back on your first 12 months at Komodo Health, you will have:
- Developed new features and bugfixes for our internal Airflow, Jupyter notebook, and OpenSearch platforms that are used by teams across the company
- Identified and executed on initiatives to drive down our cloud infrastructure costs
- Enabled our MLOps team by architecting and supporting our Databricks workspaces
- Developed patterns, best practices, and documentation to standardize the way users access our clusters
What you bring to Komodo:
- Proficiency with Python 3, comfortable reviewing code and providing feedback on pull requests
- Understanding of Spark architecture for use in batch processing and ad-hoc analytics
- Understanding of Airflow architecture
- Kubernetes architecture; most of our infrastructure, including Airflow and Spark, is running in k8s
- AWS infrastructure including EC2, RDS, EKS, S3, VPCs, ASGs
#LI-Remote #LI-BN2
Where You’ll Work
Komodo Health has a hybrid work model; we recognize the power of choice and importance of flexibility for the well-being of both our company and our individual Dragons. Roles may be completely remote based anywhere in the country listed, remote but based in a specific region, or local (commuting distance) to one of our hubs in San Francisco, New York City, or Chicago with remote work options.
What We Offer
On top of our commitment to providing competitive, fair pay for all roles at Komodo Health, we’re proud to offer robust and inclusive benefits to all Dragons at Komodo Health. We offer global time off programs, extensive internal and external career development and learning opportunities, multiple affinity groups celebrating our team’s diversity, and an annual wellness and productivity stipend to support you in being your healthiest, best self.
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.
Tags: Airflow Architecture AWS Databricks EC2 Jupyter Kubernetes MLOps Pipelines Python Spark
Perks/benefits: Career development Competitive pay Health care Wellness
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