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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - **Company:** Moody's Corporation - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $140,200.0 - $243,700.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Application Frameworks, Big Data, C Sharp (Programming Language), C++ (Programming Language), Cloud Database, Distributed Computing Environment, Object-Oriented Software Development, Software Requirements Analysis, Software Systems, Data Processing, Cloud Platform System, Parallel Computation, Information Technology - **Published:** June 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7c42b79e0ca82f3f ## About the Role Do you have experience in System requirements definition?, Do you have a Master's degree?, * Expertise in object-oriented languages: Proficiency in of C#, C++, or Java is required. This expertise ensures that the candidate can effectively develop and maintain high-performance risk analytics services, engines, and software infrastructure. * Strong skills in analytic computing and algorithms: A passion for finding and solving hard problems is essential. This ability ensures that the candidate can handle complex data processing tasks and provide innovative solutions. * Excellent communication skills: Necessary for conveying complex ideas clearly and concisely. Strong communication skills ensure that the candidate can articulate their vision and collaborate with cross-functional teams. * Experience in distributed or parallel computing: Familiarity with relational and big data technologies, batching systems, and highly distributed cloud systems is desired. This experience is necessary for developing scalable and efficient software solutions. * Strong mathematical background: Including statistics and numerical analysis. This knowledge is essential for performing detailed analyses and developing sophisticated computational techniques. * Familiarity with probabilistic and stochastic computational techniques: Ensures that the candidate can effectively resolve problems commonly encountered in the implementation of risk analysis models. * Experience with cloud systems: Past experience with cloud data access and computing is necessary for developing and maintaining cloud-based SaaS solutions. * Agile development: Desired experience ensuring that the candidate can handle multiple initiatives simultaneously and deliver results within deadlines. * Developing complex software systems: A proven track record of successfully delivering software systems to customers is highly desired, demonstrating the candidate's ability to manage product development from concept to delivery. * Ability to mentor: The demonstrated ability to mentor and guide junior engineers in all aspects of their engineering duties is essential for fostering a collaborative and productive team environment. * Communicating with users, engineering teams, and management: The experience is necessary for successfully collecting requirements, describing software product features, and providing technical designs., * Bachelor's or Master's in Computer Science or related engineering or scientific fields with 8+ years of industry experience, or Ph.D. with 5 years of industry experience. ## Description In the Model Platform team, you will work on platform and engines that use large-scale distributed data processing technology to deliver scalable, elastic, cloud-based SaaS solutions for detailed risk analyses. * Design, develop, and maintain: Engage in all aspects of high-performance risk analytics services, engines, and software infrastructure using C#. * Development planning: Translate design inputs into development tasks and provide effort estimates for deliverables. * Document: Create software technical specifications and implementation documents. * Collaborate with cross-functional teams: Work with fellow engineers, product/project managers, and quality assurance engineers to develop multi-tier, multi-layered application frameworks and functional components. * Communicate effectively: Convey complex ideas clearly and concisely to all stakeholders. * Independent: The role requires autonomy and the ability to make technical decisions independently while collaborating with cross-functional teams. About the team Model Platform team, part of Moody's Intelligent Risk Platform (IRP), provides platform for execution of massively parallel computations utilizing AWS Cloud infrastructure. IRP is the first risk platform for industries affected by the uncertainty of natural and man-made catastrophes including climate change risk. Our team supports submission and all aspects of efficient execution of risk models on client portfolios. 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