Staff Software Engineer for St. Louis, MO to lead development of data infrastructure, data services & analytics systems to collect, process, transform and analyze large, complex agronomic and geospatial datasets; oversee the design & implementation of scalable data processing systems and data pipelines; lead design & code reviews; implement algorithms & services for precision agriculture applications; mentor & train junior engineers. Requires Master's in C.S., C.I.S., I.T. or closely-related field & 2 yrs experience in IT-related position(s): designing & developing software applications in Python, Java, React.js and Scala; developing, preparing, testing & validating scientific models and algorithms against agronomic and environmental datasets for production; building REST APIs, GraphQL & microservices using AWS and GCP, including ECS, EC3, Step Functions, SQS, SNS, DynamoDB, RDS, S3 and Lambda; working with distributed platforms, including Hadoop, BigQuery, Spark and Kafka for agricultural and environmental data warehouse; implementing data pipelines in GitLab to conduct daily builds, tests & production deployments within an agricultural environment; design, develop & maintain micro-services for generating recommendations for agronomists and agronomic advisors; conduct system monitoring & support using Datadog, Open Search, New Relic and PagerDuty. Will also accept a Bachelor's in above fields & 5 yrs progressive, post-Bachelor's stated experience. Candidate must be willing to provide on-call support 24 hrs/day for a two wk period per month. Up to 10% U.S. travel req'd. Telecommuting permitted.