Scala Software Engineer

  • Full-time

Company Description

Accelerated innovation geared towards solving global problems using science to generate breakthrough technologies. Exhilarating challenges, enthusiastic, eager and phenomenal team to be a part of: http://www.cibotechnologies.com

At the center of CiBO Technologies is a proprietary crop science platform that provides robust information solutions to our customers. Our platform consolidates and integrates historical plant, soil, environmental, nutritional and ecological information to provide highly accurate land-use simulations on a global scale to enable better decisions for our planet.

Currently 60 people and growing. Unique combination of scientific, technological, and business expertise
Solid projections for continued success. Awesome, bright top notch and collaborative team. We seek to catalyze a true sustainable revolution in agriculture. In order to create real change, we must account for the scientific and technical complexity of that challenge. We must also account for the complexity of a system that includes stakeholders across the private, public, and non-governmental sectors, groups that have historically struggled to find win-win solutions. We believe that there are non-zero-sum solutions to sustainable production that leave the planet and the people better off. We are passionate about building the technology to make this a reality.

We are led by the very talented Ryan Richt, VP Engineering and Data Science Richt leads software engineering and data science at CiBO. After bootstrapping a genomics startup, he spent six years at Monsanto, leading a Scala-distributed data mining team for the company’s biotech R&D department, cloud transformation in IT, and ultimately, IT’s Monsanto Labs.

Current opportunities (https://jobs.lever.co/cibotechnologies) Objective is a brief initial informational call with me followed by a conversation with a senior team member.

We are actively interviewing, strong compensation, excellent company culture. Commuting flexibilities

Look forward to hearing back from you at your earliest. Happy to answer any questions and provide additional insights

Best
Deborah
Building software products to solve problems. These integrated offerings provide big data and advanced analytics capabilities engineered to specifically account for the unique challenges and deep complexity of agricultural systems. We use those products to help our customers generate outcomes and we call the integrated platform Computational Agronomy.
155 Second Street
Cambridge, MA 02141
Cell 206 849 8641
dsimonds @ cibotechnologies.com

Job Description

As Scala Software Engineer at CiBO you’ll be part of a collaborative team of developers, data scientists, agronomists, and remote sensing experts. You will help build customer facing applications and our core platform to create, improve, and scale agricultural models and optimization. Our culture is built on cross-disciplinary collaboration, learning, and rapid prototyping. As engineers we believe in type tests, functional programming and automation. Our major platform is built on Scala in AWS, with sprinklings of R. CiBO is a science-based company, so prepare to learn and invent with us! 

Qualifications

Ability,passion and motivation to learn is highly regarded and crucial at CIBO

Solid foundation in computer science, including algorithms and data structuresSignificant experience with professional software engineering including automated testing, Agile, pair programming, refactoring, relational databases, and micro/services-Experience with at least one NoSQL store, ideally one of the following: {Riak, Cassandra, CouchDB}Experience with at least one of each of an object oriented {Scala, Java, C++, Python, etc.}, functional {Scala, Haskell, OCaML/SML, Erlang, Clojure, etc.} and a strongly typed language {Scala, Java, C++, Haskell, etc.}. Multi-counting allowed.-Significant experience with multithreading or distributed/eventually consistent systems-Excellent collaboration skills
Bonus Qualifications (Not Required) 
We would be additionally excited that you have any of the following:
-Experience with AWS tools such as Lambda, EMR, CloudFormation, etc.-Experience with DevOps, infrastructure-as-code, or automated deployment-Experience with Bayesian statistics, math, or classical statistics-Experience with image processing, computer vision, or remote sensing-Domain knowledge in agriculture, the biological sciences, or another natural science

Additional Information

All your information will be kept confidential according to EEO guidelines.