Bloomberg’s Evaluated Pricing service, BVAL, supplies independent and transparent evaluated pricing daily for over 3 million securities across all fixed income asset classes, including thinly-traded and hard-to-price fixed income securities. Our customers rely on us to understand markets and analyze complex structures which allow them to make thoughtful investment decisions, which ultimately builds more value for the investor. The value of retirement accounts, pension funds, etc, are measured against our data. Our mission is to drive greater transparency, liquidity and confidence in global fixed income markets. To produce this pricing data, we absorb billions of data points from hundreds of financial markets every day using highly scalable and fault tolerant streaming technology ( Kafka, Redis, Argo, Flink, Hadoop). We pipe this data through pricing algorithms which employ quantitative and machine learning techniques derived by working closely with market experts. This process produces the high quality pricing that the market and our customers need. We also develop applications that provide intelligent analytics and transparency into these prices. FI Pricing Performance engineering team builds systems that provide real-time observability, infrastructure management, and continuous delivery for Bloomberg’s Pricing services. We build systems that leverage data collected from Bloomberg’s global systems to provide performance metrics, detect anomalies and generate alarms, with the ultimate goal of increasing the performance and reliability of our products for all clients by proactively detecting and resolving issues. **What’s In It For You?** + Ownership of the full software development life-cycle, from understanding the needs of the business through to coding to deployment and maintenance. + Help drive our mission of transparency and safety in fixed income markets. + Architect, implement, deploy, and maintain reliable and scalable services and applications + Contribute to and support our high standards for code quality, reliability, testing, and automation + Collaborate with other engineers within the team and across Bloomberg to continuously improve and expand our systems + While engaged in this important mission, we also like to give back to our community and have fun as well. Bloomberg has a significant philanthropic presence, and we regularly represent our organization at multiple local causes. **You’ll Need To Have:** + 4+ years of professional software development experience + A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience + A robust knowledge of data structures and algorithms along with experience in one or more general purpose programming languages. + A strong sense of ownership and the ability to collaborate with multiple teams and partners to drive projects and initiatives. + Experience with CI/CD, Testing and developer workflow automation **We’d Love To See:** + Experience with scalable and high availability distributed systems and event stream processing technology. + Recent experience with one or more programming languages including but not limited to: Python, Typescript + Background in production engineering or monitoring + Experience collaborating across a large organization + Familiarity with Kafka or similar technologies Salary: 160000,240000,USD,Annual Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net