Senior Backend Engineer, Python

September 30

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QuantHealth

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Biotechnology • Healthcare Insurance • Artificial Intelligence

QuantHealth is a platform technology company focused on enhancing clinical development through advanced simulations of drug-patient interactions. Utilizing next-generation clinical AI, QuantHealth provides insights into how different patients might respond to various therapies, thereby optimizing clinical trial design and execution. Their integrated data framework spans biomedical, clinical, and epidemiological data to support researchers in making data-driven decisions throughout the clinical development process.

11 - 50 employees

Founded 2020

🧬 Biotechnology

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

💰 $15M Series A on 2023-08

📋 Description

• Develop, maintain, optimize and harden a FastAPI microservice with diverse workloads • Closely collaborate with other technical teams • Full Stack Engineering to define calibrated endpoint signatures and call sequence patterns • Work with Data Science to establish an ML model-object management & prediction interface and implement estimators, sampling methods and clinically-relevant statistical analyses • Author long-running PySpark jobs which run on dynamically-provisioned clusters to ETL and predict on billions of records • Write optimized analytical SQL queries for our real-time distributed data warehouse • Fine-tune the service’s deployment configuration for enhanced performance • Design and implement a robust CICD pipeline for a single-tenant architecture, serving dozens of enterprise customers • Manage the service’s infrastructure with Infrastructure-as-Code • Configure observability and monitoring • Author thorough unit, integration and performance testing suites • Serve as a technical lead and advocate for the service in architectural discussions and company-wide technical decision-making

🎯 Requirements

• At least 6 years of experience of backend development experience, SQL and API development • At least 2 year of experience with each of the following: Python, Python microservice frameworks, dataframe-based frameworks (pandas/PySpark), CICD development, container orchestration platforms (EKS/ECS/podman/etc.), IaC (Terraform/CloudFormation/etc.) • Excellent written and verbal communication skills • Ability to work independently and as part of a team • Experience with Databricks, PySpark, Spark, AWS EMR (advantage) • ML Ops experience: model-object management, batch inference, feature engineering & preprocessing, ML Flow and similar frameworks (advantage) • Experience optimizing containerized python microservices: resource sizing, autoscaling policies, liveliness probes, networking, etc. (advantage) • Familiarity with the complexities of managing single-tenant environments (advantage) • SRE experience: alert configuration, runbook creation and maintenance, incident response and escalation (advantage)