11 East Loop Rd, Franklin D Roosevelt Island, New York, 10044
Paige.AI is a software company leading a digital transformation in pathology by leveraging advanced Artificial Intelligence (AI) technology in its products to enable a cloud-based workflow for pathology. This AI is powered by an agreement with Memorial Sloan Kettering (MSK), a global leader in cancer care, for exclusive access to millions of pathology slides and pathologist reports. We are backed by a $25 million series A financing and are the first to have AIRI, the most advanced architecture ever built for scale-out AI, with a GPU performance of over 10 petaFLOPS.
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. This is an extraordinary opportunity to be part of a high-performing team and to pursue a life-changing mission with unique technical challenges!
Architect, develop and maintain a scalable, reliable and high-performance platform to execute algorithms in the cloud
Efficiently schedule and distribute various jobs across a fleet of machines with different hardware specifications, 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
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 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).
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.