NA1 Overview The T Rowe Price Fixed Income Front Office Risk technology team is looking for an accomplished Senior Software Engineer in building a suite of next-generation n-tier, native cloud based applications. In this role, you will be part of the Fixed Income Front Office Risk software engineering team whose mission is to enhance and develop new capabilities needed by our Portfolio Managers, Analysts and Quants, using modern web/cloud technologies. This is a hands-on, full SDLC role that provides an opportunity to tackle sophisticated business, logic, data, and technical challenges. The role requires you to take responsibility for the full development cycle – from requirement gathering to the delivery of the end-product. You will be part of an agile team of smart, hardworking people. We will give you ambitious work that has an impact, opportunities to learn and grow, and a collaborative culture that encourages every member of our team to bring their point of view to the table - because that is how we help our clients succeed. You must demonstrate a willingness to overcome technical challenges in a fast-paced environment. Our firm has made a significant investment in the future of our technology and data. We have a big vision of what we can achieve and have ambitious plans to get there. We hold collaboration as a core tenet of how we accomplish our goals. Are you interested in a team-oriented approach; working alongside curious and enthusiastic learners? We are a group of diverse problem solvers, all working together with different perspectives to create optimal solutions that continue to propel us to great heights. We encourage you to apply Role Responsibilities Innovate, design, and deliver in terms of high reliability, scalability, and extensibility Solve unique problems that have a broad impact and delivery of business value Deliver within a team and as an individual developer Demonstrate hands-on capability to drive components to delivery Advocate and contribute to software engineering best practices, including those that have enterprise-wide impact Business and Analytical Skills Shows willingness to take on the complexities of the domain – Fixed Income, Portfolio Management, Quantitative Research, Risk, etc. Being able to distill the “why”, understanding standing the bigger picture and communicating across technology and business stakeholders. Balances strategic and pragmatic concerns when solving problems Makes decisions that are cognizant of the firm’s broader business strategy Technical Skills Performs as an expert in multiple parts of the software lifecycle (e.g., coding, testing, development) and coaches others in such practices Demonstrates deep experience in automated testing and techniques Conversant in multiple technologies and learns quickly Experienced in several styles of architecture (e.g. real-time, batch, orchestration) Provides a clear and concise explanation of business strategy, technical concepts, designs, or implementation to a non-technical audience Stays abreast of industry trends and technologies and knows when/how/if to apply them appropriately Minimum qualifications: Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics from a leading university. 5 years of progressive software engineering experience Expert knowledge in one or more general-purpose programming languages (e.g., Java, Python) and related popular libraries Experience in building containerized applications and deploying to cloud infrastructure such as Amazon Web Services (AWS), Microsoft Azure, or similar providers. Proficient on Linux platforms with knowledge of various scripting languages Strong knowledge of one or more relevant database technologies e.g., PostgreSQL, SQL Server Strong in Test-Driven Development and proficiency in writing maintainable and adaptable code Preferred qualifications: Experience of front office software development with an Asset Management, Hedge fund or Investment Bank A solid understanding of tradable financial instruments (securities, derivatives) and capital markets Computer Science, Math, or Financial Engineering degree Strong knowledge in other programming language(s) – e.g., JavaScript, Typescript, Kotlin Strong knowledge of data orchestration technologies – e.g., Apache Airflow, Dagster, AWS Step Functions Understanding of ETL/ELT workflows, data modeling, and performance optimization for both batch and real-time processing.