Senior Software Engineer, Komodo Health

• Minimum of 7-8 years of experience
• Expertise with building scalable backend services using modern frameworks such as FastAPI
• Expertise with processes and toolings in the entire software development life cycle in an agile environment, including design, implementation, testing, deployment, and monitoring&alerting
• Solid computer science skills and proficiency in Python programming language. Able to leverage industry standard design patterns and engineering best practices
• Demonstrated track-record of delivering products and features with varying degrees of complexity, and through several iterations of product development
• Capable of quickly building expertise on an as-need basis on a new tech stack
• Experience with systems level design, including support and operations. Understand and design for non-functional concerns such as performance, cost optimization, maintainability and developer experience. Relevant experience with cloud infrastructure technologies such as AWS
• Mentor and/or train other engineers in relevant skills and/or technologies
• Knowledge of analytics, familiarity with a variety of numerical methods/algorithms and basic level understanding of ML algorithms

Desirable

• As a Senior Software Engineer, you will help lead the development of Komodo Health’s platform-enabled workflow tools
• The Komodo platform powers all of Komodo’s current and future workflow analytical applications and enables 3rd party builders to integrate with, extend, customize, or build on the platform
• Reporting directly to the Engineering Director, you will be solving complex data challenges while designing and implementing data processing and transformation at a scale that powers state-of-the-art interactive product experiences
• You will enable smarter, more innovative uses of healthcare data by building robust data pipelines and implementing data best practices
• This position has potential to become engineering manager
• Looking back on your first 12 months at Komodo Health, you will have…
• Expanded or enhanced the Platform data integration APIs
• Designed and optimized caching strategies (including, perhaps, inclusion of new data storage mediums/platforms) for processing cohort outputs and running analytics
• 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
• Leveraged relevant AWS services (API gateway, lambdas, among others), updating as needed to take advantage of new beneficial features in support of the API
• Partnered with product managers to understand the variety of internal and external analytic specification needs across a diverse set of use cases
• You will accomplish these outcomes through the following responsibilities…
• Partnering with Engineering team members, Product Managers, and customer-facing teams to understand complex health data use cases and business logic
• Being curious about our data
• Building foundational pieces of our data platform architecture, pipelines, analytics, and services underlying our platform
• Designing and developing reliable data pipelines that transform data at scale, orchestrated jobs via Airflow/Temporal, using SQL and Python in Snowflake
• Contributing to python packages in Github and APIs, using current best practices
• Ensure non-functional requirements are met, such as around developer experience and maintainability
• Managed technical dependencies between different microservices to ensure smooth operations
• Set a high technical standard overall and be a mentoring resource for others on the team and in the larger organization