Senior Engineering Manager

About the role: As a valuable addition to our dynamic team, you will collaborate closely with our VP of Engineering, along with a talented group of frontend and backend engineers, and dedicated product managers.

In this pivotal role, you will play a crucial part in developing groundbreaking solutions for medical researchers while also contributing to the strategic direction and objectives of our product. We seek a candidate who can autonomously discern priorities among various features, tasks, and optimizations, ensuring optimal outcomes for our users and stakeholders.

Our Stack:

● Frontend: ReactJS, Material-UI, JSS, GatsbyJS
● Backend: Python 3.10+, Django (RESTful APIs), PostgreSQL
● DevOps: Docker, Ansible, CircleCI
● GitHub, GCP, Netlify, CloudFlare

We try to keep most of our stack on the latest stable releases to minimize technical debt.

Responsibilities:

● Write scalable, testable, and maintainable code for the frontend and backend

● Work closely with customers and internal team to strategically prioritize features on the product roadmap

● Make critical architectural decisions. Research new technologies and understand complexity tradeoffs

● Build robust data pipelines to feed into machine learning algorithms

● Provide technical support to the internal team

● Handle automated deployments and maintenance for web servers.

Requirements:

● 5+ years of experience in Django / Python.

● Reasonable experience with React or similar frontend framework.

● Experience with Google Cloud Platform or comparable cloud provider.

● Experience in full-stack web development, including front-end and back-end development

● Can help manage a team of external engineers

● Organized, manages complex workload well, and execution oriented

● Demonstrated leadership and capability to see projects through completion

● Effective technical communication skills to both technical and non-technical stakeholders

● Living in or willing to relocate to NYC to work in person

A plus:

● Previous experience at early-stage startups
● Experience in computer vision, data mining, or statistics