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Solutions Architect - Sr Lead Software Engineer

JPMorgan Chase
Jersey City, USA
Full-time
Lead · 5+ years experience
Onsite
Discovered 3 weeks ago

Full Job Posting

Job responsibilities

  • Engages technical teams and business stakeholders to discuss and propose technical approaches to meet current and future needs
  • Defines the technical target state of their product and drives achievement of the strategy
  • Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture discovery and decisioning, with human-in-the-loop validation and appropriate handling of sensitive data.
  • Evaluates recommendations and provides feedback on new technologies, including outcomes-oriented evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and applicability within existing systems and information
  • Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls.

Required qualifications, capabilities, and skills

  • A. Formal training or certification on architecture concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s)
  • Proficient across SDLC execution, including automation/continuous delivery practices and agile methods such as CI/CD, application resiliency, and security
  • Demonstrated proficiency within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) and ability to evaluate current and emerging technologies to recommend future-state solutions
  • Experience applying enterprise-authorized AI capabilities within the work environment in software engineering and architecture workflows with strong validation habits and awareness of data sensitivity.
  • Ability to evaluate and integrate AI-enabled capabilities into cloud-native architectures while meeting resiliency, security, and auditability requirements.
  • In-depth knowledge of the financial services industry and their IT systems
  • Preferred qualifications, capabilities, and skills

Preferred Qualifications

  • Preferred qualifications, capabilities, and skills

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