Senior Software Engineer (Go)

Bayer Crop Science focuses on developing agricultural solutions for a sustainable future, addressing a global population projected to exceed 9.6 billion by 2050. The team collects terabytes of data across genome sequencing, crop field trials, manufacturing, supply chain, financial transactions, and more, aiming to transform complex scientific datasets into innovative software to accelerate crop system development decisions.

• Proven experience developing and launching a software product or significant feature written in Go (3+ years) and Python (2+ years)
• Track record of shipping and maintaining multiple major product releases
• Experience building and maintaining data-intensive APIs using a RESTful approach
• Comfort with Unit Testing and Test Driven Development methodologies
• Familiarity with creating and maintaining containerized application deployments with Docker
• Familiarity with deploying to and working with Kubernetes cluster infrastructure
• Proven ability to build and maintain cloud-based infrastructure on major cloud providers like AWS, Azure, or Google Cloud Platform
• Experience in data modeling for large scale relational or NoSQL databases
• Proficiency in verbal and written English

Nice to have:

• Experience with stream processing using Apache Kafka
• Experience with protocol buffers and gRPC
• Experience with Google Cloud Platform, Apache Beam, Google Cloud Dataflow, Google Kubernetes Engine
• Experience working with scientific datasets or applying quantitative science to business problems
• Bioinformatics experience, especially large scale storage and data mining of variant data, variant annotation, and genotype to phenotype correlation

• 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, applying 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 with real world impact
• Explore relevant technology stacks to find the best fit for each dataset
• Take part in technical initiatives, communicating technical vision and strategy to the broader organization
• Project talent into relevant projects, valuing strength of ideas over position on an org chart