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Principal Software Engineer - Data & AI Strategy

JPMorganChase

Salary not specified
Nov 10, 2025
Jersey City, NJ, US
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JPMorgan Chase's Chief Data & Analytics Office (CDAO) is looking to accelerate the firm's data and analytics journey by ensuring data quality, integrity, and security, and by leveraging data for insights and decision-making. This role will focus on developing and implementing AI/ML solutions to create new products, improve productivity, and enhance risk management.

Requirements

  • Utilizes programming languages like Java, Python, SQL, Node, Go, and Scala, Graph DB and Open Source RDBMs databases, Container Orchestration services including Kubernetes, and a variety of AWS tools and services.
  • Formal training or certification on software engineering concepts and 10+ years applied experience.
  • Strong understanding of business technology drivers and their impact on architecture design, performance, and monitoring.
  • Hands-on experience with one or more cloud computing platform providers, and proficiency in building on emerging cloud serverless managed services.
  • Experience in architecting for private and public cloud environments, including re-engineering and migrating on-premises data solutions to the cloud.
  • Experience with high-volume, mission-critical applications and their interdependencies with other applications and databases.
  • Knowledge of container platforms such as Kubernetes, with a strong understanding of architecture, design, and business processes.

Responsibilities

  • Collaborates with product and engineering teams to deliver robust firmwide data governance solutions that drive enhanced customer experiences.
  • Provides critical day-to-day leadership and strategic thinking, working with team of engineers and architects to align cross-functional initiatives, ensuring they are feasible both fiscally and technically.
  • Leads the consolidation and convergence effort of the Data Governance capabilities under unified CDAO Platform and other priority firmwide initiatives related to BCBS 239, data lineage, controls & data quality.
  • Enables engineering teams to Develop, enhance, and maintain established standards and best practices, Drive, self-service, and deliver on a strategy to operate on a build broad use of Amazon's utility computing web services (e.g., AWS EC2, AWS S3, AWS RDS, AWS CloudFront, CloudWatch, EKS)
  • Identifies opportunities to improve resiliency, availability, secure, high performing platforms in Public Cloud using JPMC best practices.
  • Implements continuous process improvement, including but not limited to policy, procedures, and production monitoring and reduce time to resolve. Identify, coordinate, and implement initiatives/projects and activities that create efficiencies and optimize technical processing.
  • Measures and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve.

Other

  • Excellent communication skills, with the ability to adapt verbiage and style to the audience and deliver critical information clearly and concisely.
  • Strong experience in managing stakeholders at all levels.
  • Strong analytical thinker with business acumen, capable of assimilating information quickly and focusing on solution-based incident and problem management.
  • Keen understanding of financial and budget management, control, and optimization of Public Cloud expenses.
  • Experience working in large, collaborative teams to achieve organizational goals, with a passion for building an innovative culture.