Overview

As a Full-Stack Engineer in the Multiply Labs team, you will deliver production ready software for our robotic system that enables cloud-controlled robotic factories for the pharmaceutical industry. Within the Software team, you will work and collaborate with our robotics team to build and maintain a robust, secure and compliant software solution in AWS Cloud.

You will have the opportunity to work with some of the most advanced cloud tools and architectures for the remote management of fleets of real-world robots (see our white paper on how we use AWS Robomaker on the AWS website).

Responsibilities

As a member of our Software team, you will:

  • Build, deploy, troubleshoot and maintain high-quality software features in production.
  • Collaborate with robotics engineering to define the control requirements for our robotic system.
  • Actively contribute to the automated test suite for continuous integration.
  • Ensure the code is compliant with strict regulatory requirements (FDA).
  • Troubleshoot problems across the complete software stack.

Qualifications

  • 2+ years of experience working across the full software stack, and writing production ready code for backend and frontend.
  • Ability to collaborate on a software stack spanning multiple cloud and local modules with security, performance and reliability at the forefront.
  • Demonstrated understanding of computer science fundamentals and best practices.
  • Experience with backend technologies and frameworks, ideally Python, Flask and FastAPI.
  • Experience with frontend technologies and frameworks, ideally React.
  • Experience with cloud services and microservices, ideally in AWS Cloud.
  • Ability to debug, diagnose and resolve complex bugs across the stack.
  • Strong analytical skills, excellent communication and collaboration skills with a growth and learning mindset.
  • Enthusiastic about working in a dynamic fast growing startup environment.

Bonus

  • Experience in pharmaceutical manufacturing or healthcare industry.
  • Experience with robotic systems or with the deployment and management of IoT fleets (e.g. wearable devices, distributed sensors and swarms of robots).

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