This role is a contract opportunity located in St Louis, MO. REMOTE CANDIDATES WELCOME TO APPLY. No 3rd party agencies or Corp to Corp please. Will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Location: remote
Requires: 4Yrs + experience
BS – strongly preferred
Solid knowledge of building large scale systems using Python, Scala, and/or Java.
4+ years of software development experience.
Experience designing and implementing robust and scalable backend services, e.g., RESTful APIs, micro services, efficient data processing algorithms, messaging paradigms, middleware, and persistent stores (SQL and NoSQL).
Experience working with AWS or other public Cloud platforms
Experience with building real-life large-scale data science projects.
Experience with relational and non-relational databases and persistence stores
Experience with Amazon Web Services (EC2, S3, RDS, SQS, etc.) (strong plus)
Knowledge of functional programming (Clojure) (strong plus)
Experience with compiled JVM language (Scala, Java) (strong plus)
The Climate Corporation is revolutionizing the agriculture industry with a platform and products to help the world’s farmers sustainably increase productivity with digital tools. We are building a Digital Farming Platform to provide data and science backed solutions to farmers and partners at a worldwide scale.
We are looking for motivated and innovative software engineers who want to be part of this fundamental shift in how we feed the world. We are just beginning on this journey and the possibilities for change and innovation are substantial.
What You Will Do
You will work with scientists, data engineers, and product managers to design and implement highly scalable, data-intensive systems, micro services, APIs, and SDKs.
You will take data driven models developed by our Science team and prepare them to run on our Digital Farming Platform. You will interact with our Data Acquisition and Data Architecture teams to define the data schemas to support these models. You will design CICD pipelines to run and validate these models against large volumes of data. You will interact with our CloudEng team to deploy onto our AWS cloud platform. You will support and guide other teams (within Climate and external partners) that are consuming our APIs and services. You will design and implement tooling that allows the science team to efficiently develop and test new models on our platform.
Required Qualifications
BS in software related field or equivalent combination of education and experience
Software engineering work experience using a functional or object oriented language. Solid foundational knowledge of CS fundamentals and best practices for code and architecture.
Python.
Self driven. Take ownership. Problem solver. Team player.
Excellent written and verbal communication, presentation, engineering diagrams, and listening skills with the ability to present complex technical information in a clear and concise manner.