US

Backend Engineer with Python (100% remote or hybrid)

Cambridge, Massachusetts
Work Type: Full Time
Overview:
Alphanumeric is hiring a BACKEND ENGINEER with Python to work in the Boston/Cambridge, MA area with our client of 20 years committed to improving lives through medical and pharmaceutical advancements.  This can be 100% remote or hybrid (flexible depending on location of the candidate).

Job conditions:
• Position Title: Backend Engineer 
• Duration:  Through June 2nd, 2025 (potential for extension). 
• 100% Remote or Hybrid - Boston (flexible depending on location of the candidate) 
• Payment:  between 100-119 USD (gross per hour) according to the candidate's experience 
Must be able to work on a W2 ASC.  Please be advised that we don´t sponsor visa workers.

Key Responsibilities: 
• Back end development for a Python web application.
• Integration of AI/ML components with frontend, data and compute infrastructure. 
• Scale up of web application using cloud infrastructure. 
• Responsible for high quality software implementations according to best practices, including automated test suites and documentation. 
• Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them. 
• Participate in code reviews, continuously improving personal standards as well as the wider team and product. 
• Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products.

Qualifications: 
• Bachelor's degree in a relevant field (including computational, numerate or life sciences), or equivalent experience. 
• Cloud experience (e.g. Google Cloud and Cloud Run preferred) including core web application infrastructure. 
• Intermediate to advanced skills in Python. 
• Unit testing experience (e.g. pytest). 
• Knowledge of agile practices and able to perform in agile software development environments. 
• Strong knowledge of modern software development tools / ways of working (e.g. git/GitHub, DevOps tools for deployment) – should be able to show practice of commit early and deploy often.

Preferred qualifications: 
• Demonstrated experience of Python backend development (e.g. using FastAPI). 
• Knowledge of AI/ML approaches and deployment of AI/ML powered applications. 
• Experience with Docker or containerized applications, especially architecture of multi-container applications. 
• Experience with Kubernetes or job scheduling systems would be a significant advantage.

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