We are looking for engineers who are excited and passionate about tackling complex leading-edge software engineering challenges, processing large amounts of data at runtime within the context of a highly analytical, model-based computation framework. Who are looking for to solve incredibly challenging business and science problems– real-world problems that will have real impact. We are building a new system from the ground-up that:
* is a highly scalable, cloud-based SaaS offering that performs detailed risk analyses
* is based on Linux, Java, and open source technologies, and leverages the latest advances in database tools, vector processing, hardware-based acceleration techniques, and geographic visualization tools
* utilizes a unique Big Data approach scaling to massive sizes over time, large scale distributed data processing technology, and best-in-class virtualization technology

Required experience and skills:
• Extensive expertise in Java and Linux software development
• Extensive expertise in cloud and open source technologies such as Git, Spark, Docker, and OpenStack
• Familiarity with relational and big data such as Postgres, Hadoop, Vertica, and similar technologies
• Strong skills in analytic computing and algorithms
• Strong mathematical background, including statistics and numerical analysis
• Knowledge of advanced programming concepts such as multi-threading and operating systems.
• Passion for finding and solving problems
• 5 plus years of programming experience; proven track record of on-time delivery
• Excellent communication skills, proven ability to convey complex ideas to others in a concise and clear manner
• Bachelors in Computer Science and 2 years or more years’ experience or Master’s degree in Computer Science. Master’s degree in Computer Science preferred

Desirable experience and skills:
• Experience in performance measurement, bottleneck analysis, and resource usage monitoring
• Significant experience in multi-threading and memory management
• Familiarity with probabilistic and stochastic computational techniques
• Experience with data access and computing in highly distributed cloud systems
• Prior history with agile development