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JPMorgan Private Client Banker - Franklin Park Branch NJ Princeton Market 
United States, New Jersey 
230805481

01.07.2025

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
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • 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, equity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on Python concepts and expanding applied experience
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Cloud implementation experience with AWS including:
    • AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS
    • Data De/Serialization: Parquet and JSON format
    • AWS Data Security: Good Understanding of security concepts such as: IAM, Service roles, Encryption, KMS, Secrets Manager
  • Practical exposure with Infrastructure as Code (IaC) solutions such as Terraform and CloudFormation
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

  • Familiarity with No SQL Databases such as MongoDB
  • Experience in various messaging technologies such as Kafka
  • Cloud Certifications including AWS Developer Associate, AWS Solutions Architect Associate
  • Experience with PySpark
  • Good understanding of event based architecture
  • AI/ML field knowledge and trends
  • Experience with Java, Big Data technologies will be a strong plus