Backend Software Engineer
AI Summary
Backend software engineer builds cloud APIs and data-processing pipelines for Lumafield's X-ray and CT image data, working from Python/Django through deployment in cloud and on-prem environments.
About this role
What you'll do:
Use Python, Django and Django Rest Framework (DRF) to implement cloud backend APIs
Use Python, Django, and Celery to implement highly parallelized large dataset processing tasks ranging up to 100s of GBs of data
Design for and deploy your code to our AWS environment leveraging EKS, S3, CloudFront, and other AWS technologies
Work closely with our research and algorithms team to incorporate cutting edge algorithms into our production codebases
Collaborate closely with product managers and engineering leadership to align technical objectives with business deliverables.
Get your hands dirty and build – expect to be hands-on and building regularly
About you:
Bachelor's Degree in Engineering or related field
2+ years of experience with Python in a production backend setting using major web frameworks (Flask, Django, FastAPI, etc.)
Experience with large dataset processing using numpy
Strong software engineering fundamentals including git, unit testing, pull request reviews, module/interface design, and applications using parallelism and concurrency.
Strong team collaboration, communication and interpersonal skills
Experience with Linux server administration, network troubleshooting, docker deployments, productionizing systems
Bonus points for:
Experience with Agile Development practices
Experience with AWS including EKS, S3, CloudFront, or similar
Experience with image processing pipelines and/or image acquisition
Experience in configuring Linux systems, applying best practices, and automating workflows with Ansible and scripting.
Skills
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