Software Engineer

Cambridge, Massachusetts
Software Engineering – Applications
Full Time
As Senior Software Engineer at CiBO you’ll be part of a collaborative team of developers, data scientists, agronomists, and remote sensing experts. You will help extend CiBO to planetary-scale simulation by automating and parallelizing every aspect of our complex processes in AWS.  Our culture is built on cross-disciplinary collaboration, learning, and rapid prototyping. Our major platform is built in Scala and Go and deployed on AWS using Kubernetes. CiBO is a science-based company, so prepare to learn and invent with us! Software is a creative process and we welcome non-traditional and diverse candidates to apply.


    • Strong knowledge of Amazon Web Services or similiar cloud platforms
    • Experience with Linux as well as Docker, Kubernetes, or other related container technologies
    • Solid foundation in computer science, including algorithms and data structures
    • Demonstrated experience architecting, building, debugging, and monitoring applications and APIs, preferably in a microservices architecture
    • Proficiency with one or more of following languages: Scala, Java, C++, Go, Ruby, Python, or Haskell
    • Significant experience with professional software engineering, including automated testing/deployment, pair programming, Agile, DevOps and infrastructure-as-code
    • Strong problem solving abilities and excellent collaboration skillsInterest in reducing repetitive work via automation

Bonus Qualifications (Not Required):

    • Experience deploying and/or working with monitoring, log aggregation, service mesh, and tracing systems, especially those under the Cloud Native Computing Foundation (Prometheus, Fluentd, Istio, Envoy, Jaeger)
    • Significant experience with multithreading or distributed systems
    • Knowledge of CAP theorem and applying it to better understand the trade-offs of various database systems.
    • Experience with or interest in Bayesian statistics, math, matrix algebra, classical statistics, image processing, computer vision, remote sensing, agriculture, or biology
    • Experience with functional programming