Principal Software Development Engineer
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
- 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
- Distributing Processing
- Familiarity with probabilistic and stochastic computational techniques
- Experience with data access and computing in highly distributed cloud systems
- Prior history with agile development
There’s a 1% chance an earthquake will cause $50 billion of insured loss within the next 12 months and a 5% chance that a hurricane will cause $60 billion of insured losses next year. At RMS, we turn risks into real numbers. How? By building simulation models that allow insurers and investors to understand and manage their global risks--from hurricanes, quakes, and wildfires, to cyberattacks, terror attacks, and pandemics. Why? We want to build a more resilient world, and we’re on a mission to help make every risk known.
Insurers, reinsurers, investors, financial institutions, governments, and NGOs trust RMS solutions to better understand and manage catastrophe risks. RMS was founded in 1989 by Stanford scientists who created our first model for California Earthquake. Today, RMS has some 1,300 employees across 13 offices in the US, London, Bermuda, Zurich, India, China, Japan, Singapore, and Australia, and over 1,000 products and models now covering six continents.
RMS helped pioneer the natural catastrophe model market we now lead – and we continue to innovate. In May 2019, we announced RMS Risk Intelligence™ (RI), an open-standard platform for strategic risk management. Through this purpose-built platform, clients can tap into RMS HD models, rich data layers, intuitive applications and APIs that simply integrate into existing enterprise systems to support business decisions across underwriting, risk selection, mitigation, and portfolio management.
How we understand and manage risk affects everyone and our passion is nothing less than creating a more resilient world through a better understanding of catastrophic events. Join our team of leading scientists, developers, industry experts, and world-class professionals. Together, RMSers make a difference on a truly global scale.
RMS is proud to be an equal opportunity workplace. We are committed to equal employment opportunity without regard to race, color, creed, gender, religion, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, genetic characteristics, sexual orientation, or any other classification protected by applicable local, state, or federal law.
To all recruitment agencies: RMS does not accept unsolicited agency resumes and will not be responsible for the payment of placement fees related to unsolicited resumes submitted to open positions, job aliases, or to our employees.
California Consumer Privacy Act notice: https://www.rms.com/legal#Privacy-Policy-ccpa
US Applicants: RMS is enrolled in E-Verify® and will be participating in E-Verify in addition to using our Form I-9 process. www.dhs.gov/E-Verify.