Staff Software Engineer (Go/Golang)

Bayer

18d•$119,073 - $178,610•Hybrid

About The Position

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Staff Software Engineer (Go/Golang) Purpose: 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 data engineering team focused on creating distributed analysis capabilities around a large variety of datasets; Take pride in software craftsmanship, apply a deep knowledge of algorithms and data structures to continuously improve and innovate; Work with other top-level talent solving a wide range of complex and unique challenges that have real world impact; Mentor and guide other engineers on areas of expertise; Explore relevant technology stacks to find the best fit for each dataset; Lead technical initiatives, communicating your technical vision and strategy to the broader organization; Project your talent into relevant projects. Strength of ideas trumps position on an org chart; Pursue opportunities to present our work at relevant technical conferences Google Cloud Next 2019: https://www.youtube.com/watch?v=fqvuyOID6v4 Google Cloud Next 2024: https://www.youtube.com/watch?v=iafduXqwfMs 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 https://cloud.google.com/blog/products/databases/bayer-uses-alloydb Cloud Wars: https://cloudwars.com/cloud/how-google-clouds-alloydb-empowers-bayer-crop-science-to-overcome-data-challenges-cloud-wars-live/ Foss4G: https://talks.osgeo.org/foss4g-europe-2025/talk/J8PKC7 This role will be based at our site in St. Louis, MO. We will offer flexible work options. Visa sponsorship may be offered for this role.

Requirements

Minimum of a Bachelor's Degree or an equivalent combination of education and experience
Has shipped multiple generations of a software product, demonstrating long-term technical ownership and evolution
A track record of shipping and maintaining multiple major product releases written in Go
A track record of designing, building, and maintaining multiple product releases of data-intensive APIs using a RESTful approach
Extensive experience in system design and architecture for large-scale, distributed applications
Experience with stream processing using Apache Kafka
Experience with designing effective Unit Testing and Test Driven Development patterns
Familiarity with creating and maintaining containerized application deployments with a platform like Docker
Familiarity with developing and deploying to and working with Kubernetes cluster infrastructure
A proven ability to build and maintain cloud based infrastructure on a major cloud provider like AWS, Azure or Google Cloud Platform
Experience data modeling for large scale databases, either relational or NoSQL
Skilled communicator with proficiency in English language, capable of connecting with diverse individuals, actively listening to their needs, and supporting meaningful analysis for better decision-making

Nice To Haves

Experience with protocol buffers and gRPC
Experience with: Google Cloud Platform, Apache Beam and or Google Cloud Dataflow, Google Kubernetes Engine
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

Responsibilities

Be a critical senior member of a data engineering team focused on creating distributed analysis capabilities around a large variety of datasets
Take pride in software craftsmanship, apply a deep knowledge of algorithms and data structures to continuously improve and innovate
Work with other top-level talent solving a wide range of complex and unique challenges that have real world impact
Mentor and guide other engineers on areas of expertise
Explore relevant technology stacks to find the best fit for each dataset
Lead technical initiatives, communicating your technical vision and strategy to the broader organization
Project your talent into relevant projects. Strength of ideas trumps position on an org chart
Pursue opportunities to present our work at relevant technical conferences