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Sr. Full Stack Developer - Advanced

Job in New York City, Richmond County, New York, USA
Listing for: Argyle Infotech
Full Time position
Listed on 2026-09-05
Job specializations:
  • Software Development
    Full Stack Developer, DevOps, Software Engineer, Cloud Engineer - Software
Job Description & How to Apply Below

Sr. Full Stack Developer - Advanced

Location:

New York

Duration:
Long Term

Client: JPMC

Position Summary

The Full Stack Engineer will design, build, troubleshoot, and support secure, high-quality production software across backend, frontend, cloud native, and automation domains. The role emphasizes hands-on application development, operational stability, microservices, CI/CD, resiliency, security, responsible AI-assisted engineering practices, and leadership in reusable patterns, technical guidance, and engineering community adoption.

Core Responsibilities

  • Execute creative software solutions, design, development, and technical troubleshooting while thinking beyond routine or conventional approaches to solve technical problems.
  • Develop secure, high-quality production code and review, debug, and improve code written by others.
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability across applications and systems.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
  • Establish validation standards for AI-assisted engineering outputs, including secure coding, peer review, automated testing, and expectations for correctness, performance, and security.
  • Apply SDLC toolchain knowledge, including approved AI-assisted development and automation capabilities, to improve the value realized from automation.
  • Lead evaluation sessions with external vendors, startups, and internal teams, probing architectural designs, technical credentials, and fit within existing systems and information architecture.
  • Lead communities of practice across Software Engineering to increase awareness and adoption of new and leading-edge technologies.
  • Provide technical guidance and direction to business teams, technical teams, contractors, and vendors.
  • Drive decisions influencing product design, application functionality, technical operations, and engineering processes.
  • Serve as a subject matter expert in one or more technical focus areas and advocate for firmwide frameworks, tools, and SDLC practices.
  • Contribute to an engineering culture grounded in diversity, opportunity, inclusion, and respect.

Required Qualifications

  • Formal training or certification in software engineering concepts and 5+ years of applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Proficiency in Java, Spring Boot, Docker, Kubernetes, Cassandra or other No

    SQL databases, and at least one frontend technology such as React, ReactJS, Redux, Angular, AngularJS, ExtJS, JQuery, or NodeJS.
  • Hands-on experience with microservices and RESTful microservices development.
  • Experience with messaging and integration frameworks such as Kafka.
  • Experience developing with testing frameworks such as JUnit, Mockito, Karma, Protractor, Jasmine, Mocha, Selenium, and Cucumber.
  • Proficiency in automation and continuous delivery methods.
  • Proficiency across the Software Development Life Cycle.
  • Advanced understanding of agile methodologies, CI/CD, application resiliency, and security.
  • Demonstrated proficiency in software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobile.
  • In-depth knowledge of financial services industry technology systems.
  • Practical cloud native experience in AWS.
  • Ability to tackle design and functionality problems independently with little to no oversight.
  • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools for coding, code review, test acceleration, troubleshooting, release readiness, or incident/root-cause analysis.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, resiliency, security expectations, and compliant adoption controls.

Preferred Qualifications

  • Experience working in a financial services environment.
  • Technology coaching and leadership experience helping teams solve complex technology problems.
  • Experience coaching engineers, senior…
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