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Full Stack Java Developer - W2 Role
SVATSNew York, NY🇺🇸United StatesPosted 7 Aug 2026
Quick Overview
Work Type
On Site
Level
Mid Senior
Job Description
Role: Full Stack Java Developer - W2 Role
Location: New York, NY (Onsite)
H1B transfers are acceptable
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.
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.
Skills
Docker
Microservices
Spring
Spring Boot
AWS
Machine Learning
Mocha
Selenium
Agile
Angular
Cassandra
Cucumber
JUnit
Java
Kafka
Kubernetes
React
Redux
SAFe
jQuery
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