Senior Software Engineer, Backend

The Opportunity at Komodo Health

Generation of a medically-related patient cohort is the gateway to all the work we do at Komodo Health. 

As a Senior member of the team responsible for Komodo’s standardized approach to healthcare cohort generation, you are ensuring that every product in our catalog has a standard, performant approach to meeting their core data needs. 

You are responsible for the backbone data retrieval and transformations required by our internal service layer used to serve cohort generation along a variety of dimensions - patients, payers, providers, etc. 

This role is primarily backend-focused, but ties into the end-to-end function of the complex cohort generation queries served through the cohort generation API, ensuring adherence to SLAs, and for the underlying caching necessary to support the variety of distinct access patterns across our entire product suite.

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

• Expanded or enhanced the UCC API’s internal data model to ensure timely performance for all types of cohort generation requests.
• Designed and optimized caching strategies (including, perhaps, the inclusion of new data storage mediums/platforms) for cohort output, differentiated as needed to serve multiple distinct read patterns from consumers.
• Recommended and implemented additional pre-calculation and caching strategies as needed to ensure that SLAs are met.
• Promoted API versioning best practices and open API standards in development.
• Partnered with product managers to understand the variety of internal and external cohort specification needs across a diverse set of use cases.
• Ensured non-functional requirements are met, such as around developer experience and maintainability.
• Managed tasks at an epic level to both raise the standard of engineering and continue to move new & existing functionality to meaningful mini/micro-services.
• Set a high technical standard overall and be a mentoring resource for others on the team.

What you bring to Komodo:

• Significant experience optimizing data retrieval processes supporting API output, as above, ideally within a low query volume / high data volume environment.
• Demonstrably deep experience with Python
• Demonstrably deep experience with relevant ‘big data’ processing either via Spark or through a modern MPP database like Snowflake or Redshift at TB to PB scale.
• Experience designing APIs for use in web application development (synchronous vs asynchronous response patterns, caching strategies, etc)
• Experience with separate caching/cache invalidation strategies, particularly tiered strategies for highly variable unit volumes of data
• Experience with multiple relevant data storage platforms, and the ability to understand the benefits of drawbacks of each for specific types of read patterns (‘data lakes’ like S3/Hive-based systems, RDBMS, MPP platforms, KV/doc stores, etc) 
• Understand and design for non-functional concerns such as performance, cost optimization, maintainability and developer experience.
• Strong communication with engineers, product managers, data scientists and commercial teams.

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