J.P. Morgan
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank in Markets Trading, you will be a key member of an agile team, tasked with designing and delivering market-leading technology products that are secure, stable, and scalable. Your role involves implementing critical technology solutions across various technical domains to support the firm's business objectives. As part of the Markets technology team, you will have the exciting opportunity to enhance the FICC (Fixed Income, Currencies, and Commodities) electronic trading analytics platform, improving its usability and expanding its offerings. You will develop Python applications that integrate vast amounts of electronic trading data stored both on-premises and in AWS, utilizing KDB+ technology and machine learning tools. Collaborating with business stakeholders, including traders and quants, you will deliver results that are both measurable and impactful.
Job responsibilities
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Contribute to all aspects of building and supporting real-time Python feeds publishing billions of messages daily to distributed KDB+ platforms. Orchestrate large data pipelines that provide seamless interoperability between timeseries data sources and ML platforms. Focus relentlessly on resiliency, performance and monitoring of all Python data streaming apps. Work closely with the rest of FICC KDB development team on data onboarding, data processing and data core engineering tasks. Creates secure and high-quality production code Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills
Formal training or certification on system design concepts and 3+ years applied experience. Strong hands-on development experience incore Python programming. Expertise in buildingreal-timescalable python apps processing large volumes of timeseries data. Proficiency in building, deploying and supporting Python apps in AWS. Experience in building modern ML data pipelines using Python. Experience in working with NoSQL databases. Team-winning attitude to build, deliver and work together as part of global development team. Preferred qualifications, capabilities, and skills
Experience with core java programming. KDB and Q language experience Working knowledge of distributed messaging platforms such as AMPS and Kafka. Experience in integrating Python data apps with AWS SageMaker, Bedrock and LLM suites. Fundamental knowledge of AWS compute services and storage tiers. Exposure to electronic trading markets and products, preferably fixed income.
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Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Contribute to all aspects of building and supporting real-time Python feeds publishing billions of messages daily to distributed KDB+ platforms. Orchestrate large data pipelines that provide seamless interoperability between timeseries data sources and ML platforms. Focus relentlessly on resiliency, performance and monitoring of all Python data streaming apps. Work closely with the rest of FICC KDB development team on data onboarding, data processing and data core engineering tasks. Creates secure and high-quality production code Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills
Formal training or certification on system design concepts and 3+ years applied experience. Strong hands-on development experience incore Python programming. Expertise in buildingreal-timescalable python apps processing large volumes of timeseries data. Proficiency in building, deploying and supporting Python apps in AWS. Experience in building modern ML data pipelines using Python. Experience in working with NoSQL databases. Team-winning attitude to build, deliver and work together as part of global development team. Preferred qualifications, capabilities, and skills
Experience with core java programming. KDB and Q language experience Working knowledge of distributed messaging platforms such as AMPS and Kafka. Experience in integrating Python data apps with AWS SageMaker, Bedrock and LLM suites. Fundamental knowledge of AWS compute services and storage tiers. Exposure to electronic trading markets and products, preferably fixed income.
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