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: 5 months (potential for extension).
• 100% Remote or Hybrid - Boston (flexible depending on location of the candidate)
• Payment: between 100-115 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.