Senior Python Engineer - AWS for Sci Platforms (Hybrid)

Quantori; United States; Hybride; USD 150 000 - 210 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Remote or office work

Education programs

Tech team

Résumé du poste

Quantori in the San Francisco Bay Area is seeking a Senior Python Engineer with AWS experience to work hybrid, 2-3 days onsite, collaborating with scientists to address pain points and deliver new features for scientific software solutions.

You will develop REST APIs, manage data processing pipelines, and ensure robust deployment with Terraform and CI/CD practices in a Linux environment. Strong communication with researchers is essential.

Qualifications

• Strong Python development experience, including backend services and data processing pipelines.
• REST APIs and microservices (Django/FastAPI or similar).
• AWS Cloud experience, including application deployment and troubleshooting.
• Terraform / Infrastructure as Code.
• Docker, Kubernetes, and GitLab CI/CD pipelines.
• Linux, shell scripting, and production troubleshooting.
• SQL and relational databases.
• Experience with AI-assisted software development tools.
• Understanding of scientific/data processing workflows and HPC concepts.

Responsabilités

• Collaborate with scientists to address pain points and implement new features.
• Develop and maintain backend services and data pipelines.
• Integrate systems and improve scientific software solutions.
• Troubleshoot production issues and optimize performance.
• Work closely with researchers to understand workflows and provide technical support.

Connaissances

Python backend

APIs & Microservices

AWS Cloud

Terraform IaC

Docker Kubernetes

GitLab CI/CD

Linux shell

SQL Databases

Data processing

Scientific workflows

Science communication

Outils

Django

FastAPI

Description du poste

Quantori in the San Francisco Bay Area is seeking a Senior Python Engineer with AWS experience to work hybrid, 2-3 days onsite, collaborating with scientists to address pain points and deliver new features for scientific software solutions.

You will develop REST APIs, manage data processing pipelines, and ensure robust deployment with Terraform and CI/CD practices in a Linux environment. Strong communication with researchers is essential.