Senior Software Engineer - Bloomberg Product Identifier Repository
$160K–240KActive
Job description
Description & RequirementsDescription & Requirements
Description & Requirements
Bloomberg runs on financial data. Every price, corporate action, benchmark, security master update, point-in-time view, and derived fact must be correct, fast, durable, and available at global scale.Our team manages some of the most important Economic and Reference rate benchmark tickers and provides pricing to multiple analytics and client driven applications across Bloomberg. We provide APIs and platform for tickerization of non-securitized entities and a pipeline to provide fast, high volume access to pricing and timeseries for such entities. This is a role for engineers who want to work close to the metal of distributed data systems. You will evaluate latency and throughput requirements, cache optimizations and safe production rollout. In addition, the role also requires strong architectural knowledge and you will be responsible for rearchitecting the data flow for a core part of Bloomberg’s entity and pricing delivery system.Our TeamBPIR and TS Integrations stands for Bloomberg Product Identifier Repository and Timeseries Integrations - our team is at the crossroads of creating non-securitized identifiers as tickers and providing pricing to clients through well-known interfaces such as Calcrt, BQL and BVAL. Our system and interfaces are designed for high throughput, sub-millisecond performance.Our team owns a critical ticker database with some of the highest hit tickers in Bloomberg. We provide configurable interfaces to allow other teams to integrate their entities as tickers in Bloomberg. We also own pricing APIs that are embedded into derived calculations for BVAL, Derivatives and other Fixed Income instruments. What’s in it for youResponsible for modernizing one of Bloomberg’s key ticker management systems for the futureBuild a high-speed distributed lookup system built on top of Bloomberg Data Platform’s storage systemsWork with core Bloomberg stakeholders, define data models and implement them with an eye for the futureWe’ll trust you toInteract with development teams across Bloomberg and understand their application and/or business requirements as well as their data access patternsDesign and develop systems that meet latency, volume, storage, scale and high availability expectationsInfluence architectural decisionsTake ownership of components within our infrastructure and ensure CI/CD guidelines and SDLC best practices are properly implemented and maintainedYou’ll need to have4+ years working with an object-oriented programming language (C/C++, Python, Java, etc.)A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experienceDeep experience or strong interest in database internals, distributed systems, storage engines or large-scale data infrastructureStrong debugging skills across application code, infrastructure, networking and LinuxWe’d love to seeExperience with distributed systemsExperience with modern data technologies - Hadoop, HBase, KafkaA track record of building reliable systems where correctness, latency, and operability matterA passion for mentoring engineers and raising the technical bar of a platform team Salary Range = 160,000 - 240,000 USD Annual + Benefits + BonusThe referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.Bloomberg runs on financial data. Every price, corporate action, benchmark, security master update, point-in-time view, and derived fact must be correct, fast, durable, and available at global scale.Our team manages some of the most important Economic and Reference rate benchmark tickers and provides pricing to multiple analytics and client driven applications across Bloomberg. We provide APIs and platform for tickerization of non-securitized entities and a pipeline to provide fast, high volume access to pricing and timeseries for such entities. This is a role for engineers who want to work close to the metal of distributed data systems. You will evaluate latency and throughput requirements, cache optimizations and safe production rollout. In addition, the role also requires strong architectural knowledge and you will be responsible for rearchitecting the data flow for a core part of Bloomberg’s entity and pricing delivery system.Our TeamBPIR and TS Integrations stands for Bloomberg Product Identifier Repository and Timeseries Integrations - our team is at the crossroads of creating non-securitized identifiers as tickers and providing pricing to clients through well-known interfaces such as Calcrt, BQL and BVAL. Our system and interfaces are designed for high throughput, sub-millisecond performance.Our team owns a critical ticker database with some of the highest hit tickers in Bloomberg. We provide configurable interfaces to allow other teams to integrate their entities as tickers in Bloomberg. We also own pricing APIs that are embedded into derived calculations for BVAL, Derivatives and other Fixed Income instruments. What’s in it for youResponsible for modernizing one of Bloomberg’s key ticker management systems for the futureBuild a high-speed distributed lookup system built on top of Bloomberg Data Platform’s storage systemsWork with core Bloomberg stakeholders, define data models and implement them with an eye for the futureWe’ll trust you toInteract with development teams across Bloomberg and understand their application and/or business requirements as well as their data access patternsDesign and develop systems that meet latency, volume, storage, scale and high availability expectationsInfluence architectural decisionsTake ownership of components within our infrastructure and ensure CI/CD guidelines and SDLC best practices are properly implemented and maintainedYou’ll need to have4+ years working with an object-oriented programming language (C/C++, Python, Java, etc.)A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experienceDeep experience or strong interest in database internals, distributed systems, storage engines or large-scale data infrastructureStrong debugging skills across application code, infrastructure, networking and LinuxWe’d love to seeExperience with distributed systemsExperience with modern data technologies - Hadoop, HBase, KafkaA track record of building reliable systems where correctness, latency, and operability matterA passion for mentoring engineers and raising the technical bar of a platform team Salary Range = 160,000 - 240,000 USD Annual + Benefits + BonusThe referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.Bloomberg runs on financial data. Every price, corporate action, benchmark, security master update, point-in-time view, and derived fact must be correct, fast, durable, and available at global scale.Our team manages some of the most important Economic and Reference rate benchmark tickers and provides pricing to multiple analytics and client driven applications across Bloomberg. We provide APIs and platform for tickerization of non-securitized entities and a pipeline to provide fast, high volume access to pricing and timeseries for such entities. This is a role for engineers who want to work close to the metal of distributed data systems. You will evaluate latency and throughput requirements, cache optimizations and safe production rollout. In addition, the role also requires strong architectural knowledge and you will be responsible for rearchitecting the data flow for a core part of Bloomberg’s entity and pricing delivery system.Our TeamBPIR and TS Integrations stands for Bloomberg Product Identifier Repository and Timeseries Integrations - our team is at the crossroads of creating non-securitized identifiers as tickers and providing pricing to clients through well-known interfaces such as Calcrt, BQL and BVAL. Our system and interfaces are designed for high throughput, sub-millisecond performance.Our team owns a critical ticker database with some of the highest hit tickers in Bloomberg. We provide configurable interfaces to allow other teams to integrate their entities as tickers in Bloomberg. We also own pricing APIs that are embedded into derived calculations for BVAL, Derivatives and other Fixed Income instruments. What’s in it for youResponsible for modernizing one of Bloomberg’s key ticker management systems for the futureBuild a high-speed distributed lookup system built on top of Bloomberg Data Platform’s storage systemsWork with core Bloomberg stakeholders, define data models and implement them with an eye for the futureWe’ll trust you toInteract with development teams across Bloomberg and understand their application and/or business requirements as well as their data access patternsDesign and develop systems that meet latency, volume, storage, scale and high availability expectationsInfluence architectural decisionsTake ownership of components within our infrastructure and ensure CI/CD guidelines and SDLC best practices are properly implemented and maintainedYou’ll need to have4+ years working with an object-oriented programming language (C/C++, Python, Java, etc.)A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experienceDeep experience or strong interest in database internals, distributed systems, storage engines or large-scale data infrastructureStrong debugging skills across application code, infrastructure, networking and LinuxWe’d love to seeExperience with distributed systemsExperience with modern data technologies - Hadoop, HBase, KafkaA track record of building reliable systems where correctness, latency, and operability matterA passion for mentoring engineers and raising the technical bar of a platform teamBloomberg runs on financial data. Every price, corporate action, benchmark, security master update, point-in-time view, and derived fact must be correct, fast, durable, and available at global scale.Our team manages some of the most important Economic and Reference rate benchmark tickers and provides pricing to multiple analytics and client driven applications across Bloomberg. We provide APIs and platform for tickerization of non-securitized entities and a pipeline to provide fast, high volume access to pricing and timeseries for such entities. This is a role for engineers who want to work close to the metal of distributed data systems. You will evaluate latency and throughput requirements, cache optimizations and safe production rollout. In addition, the role also requires strong architectural knowledge and you will be responsible for rearchitecting the data flow for a core part of Bloomberg’s entity and pricing delivery system.Our TeamBPIR and TS Integrations stands for Bloomberg Product Identifier Repository and Timeseries Integrations - our team is at the crossroads of creating non-securitized identifiers as tickers and providing pricing to clients through well-known interfaces such as Calcrt, BQL and BVAL. Our system and interfaces are designed for high throughput, sub-millisecond performance.Our team owns a critical ticker database with some of the highest hit tickers in Bloomberg. We provide configurable interfaces to allow other teams to integrate their entities as tickers in Bloomberg. We also own pricing APIs that are embedded into derived calculations for BVAL, Derivatives and other Fixed Income instruments. What’s in it for youResponsible for modernizing one of Bloomberg’s key ticker management systems for the futureBuild a high-speed distributed lookup system built on top of Bloomberg Data Platform’s storage systemsWork with core Bloomberg stakeholders, define data models and implement them with an eye for the futureWe’ll trust you toInteract with development teams across Bloomberg and understand their application and/or business requirements as well as their data access patternsDesign and develop systems that meet latency, volume, storage, scale and high availability expectationsInfluence architectural decisionsTake ownership of components within our infrastructure and ensure CI/CD guidelines and SDLC best practices are properly implemented and maintainedYou’ll need to have4+ years working with an object-oriented programming language (C/C++, Python, Java, etc.)A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experienceDeep experience or strong interest in database internals, distributed systems, storage engines or large-scale data infrastructureStrong debugging skills across application code, infrastructure, networking and LinuxWe’d love to seeExperience with distributed systemsExperience with modern data technologies - Hadoop, HBase, KafkaA track record of building reliable systems where correctness, latency, and operability matterA passion for mentoring engineers and raising the technical bar of a platform teamBloomberg runs on financial data. Every price, corporate action, benchmark, security master update, point-in-time view, and derived fact must be correct, fast, durable, and available at global scale.Our team manages some of the most important Economic and Reference rate benchmark tickers and provides pricing to multiple analytics and client driven applications across Bloomberg. We provide APIs and platform for tickerization of non-securitized entities and a pipeline to provide fast, high volume access to pricing and timeseries for such entities.Our team manages some of the most important Economic and Reference rate benchmark tickers and provides pricing to multiple analytics and client driven applications across Bloomberg. We provide APIs and platform for tickerization of non-securitized entities and a pipeline to provide fast, high volume access to pricing and timeseries for such entities.This is a role for engineers who want to work close to the metal of distributed data systems. You will evaluate latency and throughput requirements, cache optimizations and safe production rollout. In addition, the role also requires strong architectural knowledge and you will be responsible for rearchitecting the data flow for a core part of Bloomberg’s entity and pricing delivery system.This is a role for engineers who want to work close to the metal of distributed data systems. You will evaluate latency and throughput requirements, cache optimizations and safe production rollout. In addition, the role also requires strong architectural knowledge and you will be responsible for rearchitecting the data flow for a core part of Bloomberg’s entity and pricing delivery system.Our TeamOur TeamOur TeamBPIR and TS Integrations stands for Bloomberg Product Identifier Repository and Timeseries Integrations - our team is at the crossroads of creating non-securitized identifiers as tickers and providing pricing to clients through well-known interfaces such as Calcrt, BQL and BVAL. Our system and interfaces are designed for high throughput, sub-millisecond performance.BPIR and TS Integrations stands for Bloomberg Product Identifier Repository and Timeseries Integrations - our team is at the crossroads of creating non-securitized identifiers as tickers and providing pricing to clients through well-known interfaces such as Calcrt, BQL and BVAL. Our system and interfaces are designed for high throughput, sub-millisecond performance.Our team owns a critical ticker database with some of the highest hit tickers in Bloomberg. We provide configurable interfaces to allow other teams to integrate their entities as tickers in Bloomberg. We also own pricing APIs that are embedded into derived calculations for BVAL, Derivatives and other Fixed Income instruments.Our team owns a critical ticker database with some of the highest hit tickers in Bloomberg. We provide configurable interfaces to allow other teams to integrate their entities as tickers in Bloomberg. We also own pricing APIs that are embedded into derived calculations for BVAL, Derivatives and other Fixed Income instruments.What’s in it for youWhat’s in it for youWhat’s in it for youResponsible for modernizing one of Bloomberg’s key ticker management systems for the futureBuild a high-speed distributed lookup system built on top of Bloomberg Data Platform’s storage systemsWork with core Bloomberg stakeholders, define data models and implement them with an eye for the future- Responsible for modernizing one of Bloomberg’s key ticker management systems for the future
- Build a high-speed distributed lookup system built on top of Bloomberg Data Platform’s storage systems
- Work with core Bloomberg stakeholders, define data models and implement them with an eye for the future
- Interact with development teams across Bloomberg and understand their application and/or business requirements as well as their data access patterns
- Design and develop systems that meet latency, volume, storage, scale and high availability expectations
- Influence architectural decisions
- Take ownership of components within our infrastructure and ensure CI/CD guidelines and SDLC best practices are properly implemented and maintained
- 4+ years working with an object-oriented programming language (C/C++, Python, Java, etc.)
- A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
- Deep experience or strong interest in database internals, distributed systems, storage engines or large-scale data infrastructure
- Strong debugging skills across application code, infrastructure, networking and Linux
- Experience with distributed systems
- Experience with modern data technologies - Hadoop, HBase, Kafka
- A track record of building reliable systems where correctness, latency, and operability matter
- A passion for mentoring engineers and raising the technical bar of a platform team