IT GoLang Developer / Data Engineer

The mission of Client 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, Clients 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

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

• Build Go services and APIs whose consumers include AI agents as well as people; the contracts you design become tools these systems call directly to query and act on data

• Help define how autonomous agents Client one another, prove who they are, and hand off work across a distributed platform

• 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

If you share our values, you should have:

• At least 5 years experience in software engineering

• At least 2 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

• Familiarity with creating and maintaining containerized application deployments with a platform like Docker

• A proven ability to build and maintain cloud based infrastructure on a major cloud provider like AWS, Clienture or Google Cloud Platform

• Experience data modeling for large scale databases, either relational or NoSQL

Bonus points for:

• Experience with protocol buffers and gRPC

• Experience building services consumed by LLM-based agents: tool calling, MCP servers, or agent-to-agent (A2A) interactions

• Familiarity with Google Cloud's AI stack: Vertex AI, Agent Engine, or an agent development kit like ADK

• Experience with: Google Cloud Platform, Apache Beam and or Google Cloud Dataflow, Google Kubernetes Engine or Kubernetes

• 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