JPMorgan AWS Principal Software Engineer 

United States, New Jersey, Jersey City 

793861396

Job responsibilities

• Lead the transformation of firm’s Interest Rate Risk platform as an integrated risk data capture, aggregation, calculation, and reporting platform, leveraging the firm’s risk models for measuring interest rate risk.
• Develop and uphold data architecture standards, including interfaces, reliability, and governance frameworks, while enhancing the platform’s data sourcing, orchestration, and reporting capabilities.
• Evaluate innovative technologies that will drive the success of the "Next Generation" Interest Rate Risk Platform.
• Work closely with stakeholders, technology leads, Treasury, and CIO teams to align technology solutions with business needs.
• Oversee strategies to ensure data accuracy, security, and accessibility for Treasury and CIO teams by implementing data governance and security measures to maintain data quality and compliance.
• Ensure the architecture boosts performance, scalability, and reliability of data processes.
• Collaborate with domain teams to guide data product development best practices.
• Lead the development of architectural designs and scalable coding frameworks while optimizing the performance and scalability of data products and infrastructure.
• Provide expert advice on strategic technology choices, aligning with business goals and driving enhancements to achieve optimal target state architecture.
• Utilize technological solutions to engage in the investigation and remediation of critical issues across the CIO organization.
• Develop multi-year roadmaps aligned with business and architecture strategies.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 10+ years applied experience
• Expertise in one or more programming languages, with experience over fifteen years coding with Python, Java is okay.
• Expert-level experience with AWS or other public cloud providers, as well as Databricks, Snowflake, Airflow, databases, and analytics.
• Demonstrating AWS knowledge, particularly in serverless orchestration.
• Utilizing functional keywords such as AWS Lambda, DynamoDB, MongoDB, serverless, and Airflow.
• Handling large amounts of data and managing orchestration, including monitoring calculations, failures, and percentages.
• Ensuring scheduled orchestration, which is not event-driven or necessarily real-time, but requires orchestrating the entire schedule.

• Experience in working on BI and AI/ML solutions with business stakeholders and data scientists is a plus
• Knowledge of Finance and Treasury products is advantageous.
• Proven influencer with a track record of successfully driving change across organizational boundaries