Principal Software Engineer - Machine Learning (Bellevue, WA)
RMS is building a cutting-edge risk management platform for the global risk market, enabling RMS’ clients to share, discover, and consume Petabytes of risk modeling and insurance data to produce big insights. We enable teams at RMS to produce world class risk models, and our customers to consume and integrate the resulting analytical data in their business processes. On top of this platform we are developing innovative products with state-of-the-art user experiences. We’re looking for top engineers to help us build this from the ground up.
This is a hands-on position where you will do everything from designing and building components and cutting-edge features to formulating strategy and direction within the org. You need to not only be a top developer with excellent programming skills and a stellar record of delivery, but also excel at leadership and customer obsession.
RMS is looking for a Principal Software Development Engineer who is 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, solving incredibly challenging business and science real-world problems that will have a real impact.
Our team is responsible for automating the entire stack of high performance, large scale, geographically dispersed resources throughout its lifecycle. This is a technology stack that will challenge you and diversify your skills.
We are building a system from the ground-up that:
is a highly scalable, cloud-based SaaS offering that performs low latency querying against detailed risk analysis data
leverages cloud-based PaaS offerings and open source technologies as the foundation
uses Spark, Linux, Java, C#, 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 size over time, large-scale distributed data processing technology, and best-in-class virtualization technology
Extensive expertise in Java, C#, or Scala, and software development in general
Experience with relational and big data storage such as PostgreSQL, SQL Server, Apache Spark, Kudu, Snowflake and similar technologies
Strong skills in analytic computing and algorithms
Strong Machine Learning & AI Analytics software development experience
Knowledge of advanced programming concepts such as multi-threading, memory management, and query processing
Passion for finding and solving problems
10+ 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
Desirable experience and skills:
Experience in performance tuning, bottleneck analysis, and resource usage monitoring
Experience working on and/or with cloud and open source technologies such as Spark, Docker, and Kubernetes
Familiarity with probabilistic and stochastic computational techniques
Experience with data access and computing in highly distributed cloud systems
Prior history with agile development
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