Senior Software Engineer, Komodo Health
Platform Search
$162-253k
Curating big data and analytics on healthcare
Open for applications
Curating big data and analytics on healthcare
501-1000 employees
Open for applications
$162-253k
501-1000 employees
Company mission
To reduce the burden of disease.
Role
Who you are
- Minimum of 6 years of experience
- Backend/API development, proficient in Python and API frameworks such as FastAPI, Flask, or Django, and proficiency with SQL
- Search technologies, including indexing, ranking, and retrieval techniques to enhance search performance and relevance
- Experience designing and building Search SDKs to support internal and external developers in integrating advanced search functionalities
- Expertise in developing geospatial indexes, vector indexes and retrieval strategies for large data sets
- Proficiency in implementing and enabling structured and context-aware search experiences in applications
- Strong understanding of large-scale data processing, collaborating with Data teams to manage and optimize structured and unstructured data workflows
- Deep knowledge of secondary data stores and efficient retrieval techniques to support analytic processing and enriched search experiences
- Hands-on experience with AWS, GCP, Azure cloud infrastructure, leveraging services like Lambda, Kafka, Elasticsearch, Snowflake, Temporal, and Graph databases (Neptune/Neo4j) to build scalable, performant systems
- Proven ability to mentor and guide junior engineers, fostering a collaborative and high-growth engineering culture
Desirable
- Experience building and sharing Search-related proof-of-concepts, leveraging frameworks like Streamlit, Jupyter, or internal demo tools
- Familiarity with modern frontend frameworks (React, Angular, Vue.js) to support the integration of search capabilities into applications
- Experience with geospatial search and mapping technologies, especially in healthcare data applications
- Expertise in developing and maintaining SDKs, enabling seamless integration for internal and external users
- Familiarity with DevOps practices and tools, including CI/CD pipelines, Docker, Kubernetes, and Infrastructure-as-Code for scalable deployments
- Knowledge of machine learning techniques for search, including vector embeddings, NLP models, and knowledge graphs to enhance semantic search capabilities
- Experience working with large-scale graph databases (Neptune, Neo4j) and relational databases for efficient data retrieval
- Strong collaboration skills, with a track record of working across engineering, data science, and product teams to drive impactful search solutions
- A results-oriented mindset, focusing on building high-quality, scalable, and business-aligned search solutions
- A passion for continuous learning, staying up to date with industry trends in search, AI-powered discovery, and data-driven insights
What the job involves
- In this role, you will focus on building a universal healthcare map search for Komodo, enhancing user asset searching and discoverability, and developing semantic and syntax-based search for Komodo applications
- You will independently design and develop proofs of concept (PoCs) to validate ideas and solutions, demonstrating their feasibility and value
- Additionally, you will collaborate with multiple stakeholders, including product managers, designers, and engineering teams, to ensure successful project execution and delivery
- Develop scalable search systems that efficiently handle growing volumes of healthcare data and user queries, supporting Universal Map Search and broader Platform Search capabilities
- Build and maintain the data infrastructure for Semantic Search, enabling intelligent, context-aware discovery of healthcare data
- Implement and refine Syntax Search, allowing structured query experiences that enhance user control and search precision
- Improve code efficiency to enhance performance, accuracy, and resource utilization
- Manage technical dependencies across engineering teams, ensuring seamless integration and alignment of search technologies within Komodo’s ecosystem
- Establish and uphold high technical standards, setting best practices for search infrastructure and search-powered applications
- Influence the overall software architecture by driving innovation and scalability in search and data infrastructure at Komodo
- Mentor and guide junior engineers, fostering a collaborative, knowledge-sharing culture that accelerates team growth and technical excellence
- Looking back on your first 12 months at Komodo Health, you will have…
- Built the foundation for Universal Map Search by designing and implementing scalable geospatial indexing and retrieval systems, enabling seamless healthcare data search and visualization
- Developed and maintained Search SDKs to empower both internal teams and external High Code users with efficient, reusable search capabilities
- Designed and implemented Syntax Search to provide an enriched, structured query experience within Komodo applications, enhancing precision and usability
- Developed and maintained the data infrastructure for Semantic Search, leveraging machine learning and knowledge graphs to enable deeper contextual understanding and discovery
- Discovered new modalities of data connections to enhance Komodo’s Platform Search, integrating diverse datasets to surface novel insights and improve search efficacy
- Collaborated effectively with multiple teams, ensuring seamless integration of search capabilities across Komodo’s products and data ecosystems
- Demonstrated expertise in AWS infrastructure by leveraging services like Lambda, Kafka, Elasticsearch, Snowflake, Temporal, and Graph databases (Neptune/Neo4j) to optimize search performance and scalability
Our take
Komodo Health has built a healthcare map, an artificial intelligence and data analytics tool that tracks the healthcare encounters of well over 300 million patients. The service helps providers, pharmaceutical companies, and scientists identify opportunities for intervention and care improvements. It also helps them to analyze how products are performing in the market, identify at-risk patient groups, study the effectiveness of treatments, and detect patterns in drug and patient behavior.
Komodo Health’s comprehensive platform helps customers to better understand health and it is challenging the fragmentation of healthcare that contributes to inconsistent, unsatisfying results for both patients and providers. It has used its considerable amount of funding to focus on accelerating growth through further innovation and development of its enterprise technology platform, application suite and core data assets.
Komodo Health made cuts to its core team at the end 2022 as part of a restructuring following a large equity funding round. This is very likely to be part of a push for profitability as it gears up for an IPO. With its business strategy realigned, it is resuming hiring in all areas to continue to develop its product and grow its market share.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-4% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Dec 2022
$200m
LATE VC
Mar 2021
$220m
SERIES E
Total funding: $514m
Company benefits
- Full medical, dental, and vision benefits
- Mobility across San Francisco and New York City Offices
- Paid Family leave
- Flexible working hours and flexible paid time off policy
- Personal wellness stipend
- 401(k) employer match
- Work from home opportunities
- Health insurance
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Arif Nathoo
(CEO)Studied Medicine at Harvard. Former Associate Principal at McKinsey & Co for 7 years. Became a Senior Advisor for 2 years.
Web Sun
(President)Previously worked in Sales and Marketing at Merck&Co. VP of Business Development at Campbell Alliance.
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