Our client is on a mission to accelerate and transform the diagnosis and treatment of cancer. Our client is creating a digital platform for pathologists to transform their workflow and is developing a new class of computational diagnostics positioned to drive the future of pathology.  

 

Our client recently raised $70M in series B investment to continue their mission and expand their impact.

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We’re seeking a creative Senior Software Engineer, Cloud & Distributed Computing who enjoys implementing large-scale systems to join our Engineering Team. In this role you will collaborate with our world-class team focusing on product development, machine learning and pathology to distribute and execute a variety of computationally expensive algorithms in the cloud at a large scale while optimizing for speed and cost.

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This is an extraordinary opportunity to be part of a high-performing team and to pursue a life-changing mission with unique technical challenges!

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Our team is working remotely right now.  However once we return to working from the office this position will be required to be based in NYC.

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Responsibilities

· Architect, develop and maintain a scalable, reliable and high-performance platform to execute algorithms in the cloud

· Efficiently schedule and distribute various heterogenous jobs and AI algorithms within a distributed ecosystem, while optimizing for speed and cost

· Design a system that can handle very large images as input data while optimizing storage space

· Maintain and enhance current products and services to best serve our customers

· Implement and test new features while applying software development best practices

· Work within a cross-disciplinary agile team

Minimum qualifications

· Bachelor’s degree in computer science or a related field, or equivalent years of experience.

· 5+ years of industry experience as a software engineer developing distributed computing architectures.

 

· You are authorized to work in the US.

Requirements

· Extensive experience architecting scalable systems for distributed computing in the cloud

· Experience with Amazon Web Services (AWS)

· Experience with message queuing systems (e.g. SQS, ActiveMQ, etc.)

· Experience with Event Driven Design

· Experience with data pipelines and executing workflows

· Experience with Python, or equivalent

· Experience with Docker containers

· Experience with Kubernetes

· Experience with Unix operating systems

· Experience with continuous integration and continuous deployment (CI/CD)

· Experience with modern product development practices, including software testing (e.g. unit testing, regression testing).

Nice to have

· Experience with Domain Driven Design