DevOps Engineer/ Backend Engineer (Remote)
We are building a privacy-first MLOps platform for data-driven organizations in healthcare and life sciences. The platform is designed to support the entire lifecycle of machine learning (ML) efforts to accelerate breakthrough medical research and bring clinical-grade ML solutions to market. Our fast-expanding strategic network includes early clinical and technology partners and organizations in the US and Europe.
Help conceptualize and build an MLOps platform around data management in healthcare industry; from initial design to full implementation and deployment
Work with the team to design and implement tools and APIs for a centralized system with distributed agents/workers
Build supplementary software components that enables data scientists to interact with the platform
Solid experience in Restful API design and development
Help conceptualize and build an MLOps platform around data management in healthcare industry; from initial design to full implementation and deployment
Work with the team to design and implement tools and APIs for a centralized system with distributed agents/workers
Build supplementary software components that enables data scientists to interact with the platform
Solid experience in Restful API design and development
Proficient in Python and/or Node.js
Hands-on experience with AWS or Azure (IAM user and role management, EKS, S3, RDS, ELB, ECS) and a solid understanding of security applications,
In-depth knowledge of designing, building and maintaining CI and CD data lines & deployment pipelines using Github Actions or Jenkins
A good knowledge of Docker and Kubernetes technologies,
Solid experience with NoSQL databases, mainly MongoDB
An experience with RabbitMQ
Comfortable with configuring and supporting Linux-based servers and applications,
A solid knowledge of networking, remote access management, VPCs, security groups, and can troubleshoot any type of network traffic,
Experience with on-prem server setup and monitoring,
Experience in the distribution of a wide variety of software products for testing, staging and production systems,
Proficient in Python and/or Node.js
Hands-on experience with AWS or Azure (IAM user and role management, EKS, S3, RDS, ELB, ECS) and a solid understanding of security applications,
In-depth knowledge of designing, building and maintaining CI and CD data lines & deployment pipelines using Github Actions or Jenkins
A good knowledge of Docker and Kubernetes technologies,
Solid experience with NoSQL databases, mainly MongoDB
An experience with RabbitMQ
Comfortable with configuring and supporting Linux-based servers and applications,
A solid knowledge of networking, remote access management, VPCs, security groups, and can troubleshoot any type of network traffic,
Experience with on-prem server setup and monitoring,
Experience in the distribution of a wide variety of software products for testing, staging and production systems,
