Revolutionising genomics & bioinformatics: unified research over distributed big data powered by AI.
Software • Data Analysis • Genomics • High Performance Computing (HPC) • Cloud Computing
51 - 200
💰 $60M Series B on 2021-09
March 19
AWS
Bash
Cloud
Docker
EC2
ElasticSearch
GCP
HBase
JavaScript
Kafka
Kubernetes
Microservices
MongoDB
NoSQL
Pandas
Python
RabbitMQ
React
Redux
Tensorflow
Terraform
TypeScript
Node.js
Loading...
Revolutionising genomics & bioinformatics: unified research over distributed big data powered by AI.
Software • Data Analysis • Genomics • High Performance Computing (HPC) • Cloud Computing
51 - 200
💰 $60M Series B on 2021-09
• Increase the capacity of the team behind the computational and analytical power of the CloudOS platform across multiple cloud providers • Design and lead backend architecture implementation in an environment that fosters innovation and new ideas • Contribute in shaping software engineering processes and ways of working, not just coding • Own features across the entire life cycle, from inception to deployment in production • Pick up new technologies and frameworks that suit the needs of products and users • Demonstrate an interest in working with best practices and principles while contributing to them, in order to keep high quality standards and keep hell far away • Work towards production deployment rapidly, be able to scale and to be monitored easily • Enable feature improvements and delivery to be updated on a daily basis.
• NodeJS experience • Experience with Docker, AWS, GCP and ops over cloud • Experience with Kubernetes is a bonus • Proficiency with Javascript, Typescript and NodeJS • Proficiency with version control (Git) • Proficiency with MongoDB • Knowledge of AWS services (EC2, S3, IAM, VPC) • API design and implementation experience • Understanding of interactions and communication between services at scale (sockets, polling, monitoring) • Familiarity with TDD • Experience with other NoSQL databases • Experience with HBase or ElasticSearch • Experience in horizontally scaling microservices over AWS or Google Cloud • Used communication services with message brokers (RabbitMq, Kafka, ...) • Experience with services ingesting high volume of transactions and analytics • A mindset ready to firefight against issues in real time • Fluency in English
• €30,000 - €55,000 salary • 25 days of annual leave plus the usual public holidays • Monthly team activities • £1,000 per year personal budget for professional development ie Conferences, events, and training resources • An international and diverse team • Exposure to problems and applications in the cloud, data analysis, ML, life sciences, and big data fields
Apply Now