Site Reliability / Platform Engineer (Expert)

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 transform these complex scientific datasets into innovative software that is deployed across the pipeline, accelerating the pace and quality of all crop system development decisions to unbelievable levels.

What you will do is why you should join us:

• Be a critical senior member of a platform engineering team focused on creating processes, tools, infrastructure and shared code in support of high throughput, low latency data services.
• Take pride in software craftsmanship, and continuously improve and innovate a platform serving multiple development teams solving complex problems
• Work with other top-level talent solving a wide range of complex and unique challenges that have real world impact
• Explore relevant technology stacks to find the best fit for each dataset
• Pursue opportunities to present our work at relevant technical conferences
• Google Cloud Next 2019: https://www.youtube.com/watch?v=fqvuyOID6v4
• GraphConnect 2015: https://www.youtube.com/watch?v=6KEvLURBenM
• Google Cloud Blog: https://cloud.google.com/blog/products/containers-kubernetes/google-kubernetes-engine-clusters-can-have-up-to-15000-nodes
• Project your talent into relevant projects. Strength of ideas trumps position on an org chart

If you share our values, you should have:

• At least 5 years' experience in software engineering or site reliability engineering
• At least 5 years' experience with Go, Python or other mainstream programming language
• At least 3 years of experience with infrastructure as code implementations, such as Hashicorp Terraform.
• At least 3 years of experience with one or more cloud platforms, GCP preferred.
• At least 2 years of experience deploying and managing applications in Kubernetes.
• Experience with application and environment observability
• Familiarity with SLO terminology, error budgets, etc.
• Expertise in tuning resource allocation in production environments

Bonus points for:

• Experience with protocol buffers and gRPC
• Experience working with scientific datasets, or a background in the application of quantitative science to business problems
• Bioinformatics experience, especially large scale storage and data mining of variant data, variant annotation, and genotype to phenotype correlation

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