Sr. Full Stack Developer - Advanced
Argyllinfotech
Job Title: 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 NoSQL 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 engineers, or technical leads on safe, compliant AI-assisted software development usage patterns.
- Experience promoting reuse of proven patterns, automation, and engineering practices across teams.
Operating Environment and Delivery Expectations
- Operate as both a hands-on engineer and technical leader across application development, troubleshooting, automation, operational stability, and technical governance.
- Balance delivery acceleration from AI-assisted development practices with required validation controls, secure coding discipline, peer review, automated teasting, and measurable standards.
- Support modernization and production reliability across backend services, frontend technologies, microservices, cloud native infrastructure, and CI/CD delivery practices.
- Engage vendors, startups, internal teams, contractors, and business partners through architecture evaluation, technical guidance, and outcomes-oriented decision support.
- Contribute to broader engineering effectiveness through communities of practice, firmwide tools, reusable patterns, and adoption of leading-edge technologies.
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