- To make this possible, client collects terabytes of data across all aspects of its operations, from genome sequencing, crop field trials, manufacturing, supply chain, financial transactions, and everything in between.
- There is an enormous need and potential here to do something that has never been done before.
- We need great people to help build software to transform these complex scientific datasets into actionable insights to accelerate the pace and quality of all crop system development decisions to unbelievable levels.
- Be a core member of the engineering team focused on creating a simplified experience for end-users to easily ingest, access, and curate data using GCP technologies and service
- Take pride in software craftsmanship, apply a deep knowledge of algorithms and data structures to continuously improve and innovate
- Project your talent into relevant projects. Strength of ideas trumps position on an org chart
- Work with other top-level talent solving a wide range of complex and unique challenges that have real world impact
- Explore and develop with modern technology stacks to find the best fit for each software solution
- At least 7 years experience in software engineering
- Strong skills in at least one general-purpose programming language (Go, Java, C#, Python, backend Typescript, etc)
- A proven ability to build and maintain cloud based infrastructure on a major cloud provider like AWS, Azure or Google Cloud Platform
- Familiarity with creating and maintaining containerized application deployments with a platform like Kubernetes
- Strong understanding of relational data models (RDBMS/SQL, query patterns & optimization, etc.). NoSQL also a plus.
- Experience developing for or architecting distributed software systems (use of message queues, scalable compute & storage, etc).
- A high level of comfort with Unit Testing and its associated methodologies
- Proven experience building and maintaining data-intensive APIs using gRPC
- Demonstrated proficiency with Go
- Experience with protocol buffers and a RESTful approach
- Experience with: Google Cloud Platform, Google Kubernetes Engine or Kubernetes
- Experience working with Google BigQuery
-
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Software Engineer - Saint Louis, United States - VeeRteq Solutions Inc.
