Senior Backend Engineer, Qventus

Data

$155-190k

+ Employee stock option awards

MongoDB

AWS

Kubernetes

Python

Django

Kafka

Postgres

Airflow

MySQL

Spark

Snowflake

Kinesis

RDS

REST API

DynamoDB

dbt

ChatGPT

Senior and Expert level

Remote from US

AI-powered healthcare operations

Job no longer available

AI-powered healthcare operations

101-200 employees

HealthcareB2BArtificial IntelligenceBig dataDeep TechMachine LearningSaaSData AnalysisAutomation

Job no longer available

$155-190k

+ Employee stock option awards

MongoDB

AWS

Kubernetes

Python

Django

Kafka

Postgres

Airflow

MySQL

Spark

Snowflake

Kinesis

RDS

REST API

DynamoDB

dbt

ChatGPT

Senior and Expert level

Remote from US

101-200 employees

HealthcareB2BArtificial IntelligenceBig dataDeep TechMachine LearningSaaSData AnalysisAutomation

Company mission

To simplify how healthcare operates, so that it works for everyone.

Job

Company

Role

Who you are

A degree in Computer Science (BS, MS, or PhD) or equivalent work experience with 8+ years in software engineering
5+ years of professional experience as a software engineer, primarily working with Python
Proven expertise in Amazon Web Services, including designing and deploying cloud-native applications using AWS tools like Lambda, API Gateway, DynamoDB, or similar
Strongly desired: Experience with frameworks such as Django, Django Rest Framework, and database systems like MySQL/PostgreSQL

Desirable

Strongly desired: Experience in Kubernetes (EKS) or ECS
Familiarity with modern data tools such as dbt, Databricks, Airflow, Spark, and Snowflake for enabling data-driven solutions
Experience with event streaming solutions such as AWS Kinesis or Kafka
Hands-on experience with AWS architectures, such as microservices or serverless patterns
Familiarity with NoSQL document databases such as DynamoDB or MongoDB
A keen interest in ChatGPT, LLMs, and other GenAI technologies
Experience in healthcare tech, including Smart on FHIR, CDS, and EHR integrations
Prior work experience in enterprise SaaS companies

What the job involves

As a Senior Backend Engineer, you will play a pivotal role in redefining healthcare operations by developing highly scalable systems and algorithms, contributing to our mission of simplifying how healthcare operates
Leverage your outstanding technical expertise to deliver high-quality, secure, and scalable code
Design and implement backend systems that are resilient, performant, and capable of delighting care teams in a healthcare setting
Collaborate closely with the data team to build and maintain integrations, pipelines, and APIs that enable seamless access to critical data
Architect solutions using AWS services such as Lambda, S3, DynamoDB, Step Functions, RDS, and ECS, with a focus on scalability and reliability
Support the development and optimization of data workflows using modern tools like dbt, Databricks, and Snowflake
Stay up-to-date on modern security design principles, identify threats, and implement preventive measures across cloud architectures
Continuously learn new technologies and thrive in a fast-paced, dynamic environment
Collaborate effectively with the team, fostering a culture of growth and shared success – a rising tide lifts all boats

Our take

The pressure on US hospitals is increasing due to rising costs of care and pharmaceuticals, in addition to increasing expectancy of high-quality services at lower prices. Vast bodies of medical data sets can be used to help ease bottlenecks in these overworked systems, but processing this data into actionable insights is a laborious and time-consuming task.

Qventus improves the operational efficiency of hospitals and medical centers by using AI to interpret raw medical data into actionable data for staff. The data produced helps teams anticipate bottlenecks and resolve problems before they occur. Qventus claims this forward-thinking approach helps decrease the length of stay of patients, increase morning discharge rates, and overall improve cash flow margins.

Many healthcare SaaS startups have aims to use AI to interpret medical data, but Qventus’ approach to identifying bottlenecks within a health system is particularly beneficial. The software uses machine learning to drive its AI, meaning that with every problem identified and prevented, the system will become smarter. Funding raised by the company will be used to support the development of new solutions and innovations, as well as continue its expansion to additional hospitals and health systems.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

6% employee growth in 12 months

Glassdoor (4.1)

Company

Funding (last 2 of 7 rounds)

Jan 2025

$85m

SERIES D

Aug 2022

$3m

LATE VC

Total funding: $196m

Company benefits

Stock options
Comprehensive health benefits with 90% of the cost covered for employees
Paid parental leave for all new parents
Generous HSA contribution
Paid disability and life insurance
Participation in a 401(k)
Wellness + Tech stipends
Education and professional development reimbursement

Company HQ

Mountain View, CA

Leadership

Mudit Garg

(CEO)

After 2 years as a McKinsey Consultant and an MBA at Stanford, they co-founded Qventus in August 2012. They have served as CEO since then.

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