Required Qualifications:

• BS degree in Computer Science, Software Engineering, or related field, with 8+ years of professional software engineering experience or MS with 6+ years of relevant experience or PhD with 4+ years of relevant experience or 12+ years of relevant experience is an acceptable substitute for degree requirement.
• At least 5 years experience in software engineering.
• At least 3 years experience with Go.
• Proven experience (2 years) building and maintaining data-intensive APIs using a RESTful approach.
• Experience with stream processing using Apache Kafka.
• A level of comfort with Unit Testing and Test Driven Development methodologies.
• At least 1 year of experience deploying to and hosting applications with Kubernetes.
• 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.
• Strong interpersonal skills and desire to work in a highly collaborative environment​.

Preferred Qualifications:

• Experience with protocol buffers and gRPC.
• Experience with: Google Cloud Platform, Apache Beam and or Google Cloud Dataflow, Google Kubernetes Engine or Kubernetes.
• Experience working with large-scale scientific datasets.

Opis oferty 

Why Bayer and Bayer Crop Science IT? 

“Health for all and Hunger for none” is our mission at Bayer. Every day, we are privileged to work on purposeful cutting-edge projects to bring our mission to life. Join us at the new Bayer Digital Hub in Warsaw to have a career that you can put your passion into practice and make an impact using Science for a better life.   In Bayer Crop Science IT we deliver fantastic digital experiences for our farmer customers, our supply chain partners, and our scientist who run our world class R&D pipeline of seeds, traits, crop protection products, & digital agriculture.  We would love to talk to you about what we do! 

This is software engineering role for a distributed data platform, with a focus on backend.

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.

Zakres obowiązków

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