The mission of Bayer Crop Science is centered on developing agricultural solutions for a sustainable future that will include a global population projected to eclipse 9.6 billion by 2050. We approach agriculture holistically, looking across a broad range of solutions from using biotechnology and plant breeding to produce the best possible seeds, to advanced predictive and prescriptive analytics designed to select the best possible crop system for every acre.

To make this possible, Bayer 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.

Curious about our work?

? Google Cloud Next 2019: https://www.youtube.com/watch?v=fqvuyOID6v4

? Google Cloud Blog: https://cloud.google.com/blog/products/containers-kubernetes/google-kubernetes-engine-clusters-can-have-up-to-15000-nodes

What you will do is why you should join us:

? 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 services

? 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

To be impactful, you should have:

? At least 7 years experience in software engineering

Recent/Active experience with GoLang.

? 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

Bonus points for:

? 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

Would like a 4 year degree in IT with experience but will take experience candidates with no degree.