Required Qualifications:
4+ years production GoLang experience
8+ years software development experience
Building and maintaining data-intensive APIs using RESTful approach
Apache Kafka stream processing
Docker containerized application deployments
Protocol buffers and gRPC
Unit Testing and Test Driven Development
Working in AWS, Azure or Google Cloud Platform
Experience with Apache Beam or Google Cloud Dataflow
Experience with Google Kubernetes Engine or Kubernetes
Data modeling for large scale databases (relational or NoSQL)
Preferred Qualifications:
Experience working with scientific datasets
Quantitative science to business problems
Bioinformatics experience (large scale storage, data mining of variant data, variant annotation, genotype to phenotype correlation)
What You'll Do:
Be senior member of data engineering team creating distributed analysis capabilities
Apply deep knowledge of algorithms and data structures
Solve complex challenges with real-world impact
Work with cutting-edge technology stacks
Opportunity to present work at technical conferences
Any Gradute