Staff Software Engineer, SmarterDx
Data Platform
$230-270k
+ Equity incentives
Clinical AI company
Open for applications
Clinical AI company
101-200 employees
Open for applications
$230-270k
+ Equity incentives
101-200 employees
Company mission
To improve the accuracy, quality and value of healthcare data with AI to help hospitals better serve their patients and communities.
Role
Who you are
- The ideal candidate for this role has a track record of delivering complex features in incrementally valuable releases and with a high bar for quality
- 10+ years of development experience with a focus on cloud-based solutions
- Expertise in Python
- Experience working with data platform solutions such as Snowflake, DataBricks, Redshift, or ClickHouse
- Experience working with Postgres or a similar relational database
- Hands-on experience with eventing solutions such as Kafka, NATS, or SQS
- Experience building cloud-native distributed systems and working with event-driven architectures
- Experience with data-pipelines
- Experience working with Kubernetes
- Experience working with product managers to plan, build, and iterate on deliverables
- Experience working in a security-conscious environment
- Excellent communication and team collaboration skills
- Bachelor’s or Master’s in Computer Science, Engineering, or a related field, or equivalent experience
Desirable
- Experience with data ingestion and integration tools (e.g., Fivetran, Airbyte, Debezium)
- Experience managing data capabilities for engineering teams (e.g., eventbus, ingestion)
- Deep understanding of Kafka/Snowflake
- Experience at a scale-up, or rapid growth, technology company
- Experience in the health tech domain, particularly in hospital billing systems
What the job involves
- We are looking for a data and backend-oriented Staff Software Engineer to help us advance our clinical AI by designing and building core systems that handle, process, and analyze clinical data at scale
- While this role focuses on backend systems, strong candidates are able to deliver across the stack
- Design, build and launch new data products, capabilities and data pipelines
- Develop and maintain streaming and ingestion capabilities using technologies like Kafka, NATS, and SQS to ensure reliable data movement
- Partner with other engineering and data teams to provide foundational backend and data infrastructure that accelerates their ability to deliver features and insights
- Build scalable and secure for accessing clinical data at scale
- Optimize and evolve our platform capabilities (e.g., event bus, ingestion frameworks, data storage patterns) to support future product growth
- Contribute to engineering standards, system design reviews, and best practices around eventing, pipelines, and cloud-native systems
- Our Stack: Kafka, Python, Snowflake, Postgres, AWS, Kubernetes, Fivetran, Airflow
Our take
With the aim of empowering healthcare providers to focus on patient care rather than paperwork, SmarterDX is an AI and data analysis company that builds an accurate and up-to-date picture of a patient’s healthcare story.
The company improves the accuracy, quality and value of healthcare data through a clinical AI that finds every discharge and data point, churning out up to 30,000 data points per patient. This use of clinical AI helps to increase provider effectiveness with a clearer and constantly updated picture of their patients - a task that would otherwise have to be done manually.
A number of startups have entered the AI-powered patient analytics space in recent years, all focused on the insurance-powered US market. However, none are as well-funded as SmarterDX, which was awarded $50 million in Series B in 2024 and further Growth Equity funding from New Mountain Capital in 2025. These rounds are being used to add new clinical and data integrations and expand its market share.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
May 2024
$50m
SERIES B
Apr 2022
$6m
SEED
Total funding: $56m
Company benefits
- Medical/dental/vision benefits
- 401k
- Free One Medical membership
- Parental leave
- Remote first
- Minimal bureaucracy
Company HQ
Midtown East, New York, NY
Leadership
Michael Gao
(Co-Founder & CEO)Previously the Medical Director of Transformation at Weill Cornell Medicine, Resident Fellow at New York Presbyterian Hospital and the Founder of Findcare and the Student-Run Free Clinic.
Josh Geleris
(Co-Founder & Head of Product)Previously Assistant Professor at Columbia University Irving Medical Center, Medicine Resident at New York Presbyterian Hospital and Managing Partner at Edge Targeting.
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