10+ years of professional experience with Python or similar object oriented language (Python3 preferred)
8+ years API design experience
10+ years Database experience (SQL or NOSQL)
Experience with performance and optimization problems, particularly at large scale, and a demonstrated ability to both diagnose and prevent these problems
Strong written and verbal communication skills, including writing Docs and RFCs
Ability to determine the trade offs of multiple solutions and choose the appropriate one given the business needs
Bonus points: Amazon AWS, Django, Docker, Kubernetes and general full-stack experience
Responsibilities
Create API solutions for internal and external web services for storing and exposing all data ingested or generated by radiologists, using test-driven development to write well-tested code
Build performant and reliable services and solutions to manage and transfer the large amount of data to clients
Collaborate with frontend and quality engineers to spec, write, test, and deploy code
Brainstorm features with product managers, designers, scientists and GTM team
Turn our vision into a tangible roadmap every quarter by working with engineers, product managers and senior leadership
Mentor and train other team members on design techniques and coding standards to raise the bar for the team
Gather problem requirements from Product and customize feedback and create innovative solutions
Review, plan and architect end-to-end solutions
Focus on company goals and trade off solutions based on cost and value
Run code reviews and pair programming with other engineers in the organization
Contribute to strong testing practices to avoid regressions in the solutions provided
Benefits
Medical, dental, vision insurance
Maternity and Paternity Leave
Flexible time off
Sponsorship for conferences, continuing education, etc.
The annual US base salary range for this full-time position is $175,000 - $200,000 + equity + benefits. Pay scale is flexible depending on experience. Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, relevant education and training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.