Full Stack Developer (Java/Angular/React)

Job Title: Full Stack Developer (Java/Angular/React)

Location: Dallas, TX or Jersey City, NJ (Hybrid 3 Days/Week)
Openings: 2
Duration: 7+ Months Contract
W2 Contract

Job Description

We are seeking 2 Full Stack Developers with strong expertise in Java, modern front-end frameworks, and cloud-native application development. The ideal candidate will have experience building enterprise applications, APIs, and distributed systems while working in Agile environments. Financial services and risk management experience is highly preferred.

Responsibilities

• Design, develop, and maintain enterprise applications using Java, Spring Boot, Angular, and React.

• Build and consume REST APIs and integrate messaging solutions.

• Develop scalable applications using cloud-native and container technologies.

• Implement CI/CD pipelines and participate in Agile development processes.

• Work with large-scale data platforms and data pipelines.

• Develop and execute unit and automated tests to ensure application quality.

• Collaborate with cross-functional teams to deliver high-quality software solutions.

Required Skills

• Strong experience with Java, Java EE, Spring Boot, TypeScript, Angular 15+, and ReactJS.

• Experience with REST APIs, JMS, PL/SQL, and enterprise messaging technologies such as IBM MQ or Solace.

• Experience with application servers such as Tomcat, Liberty, WebSphere, WebLogic, or JBoss.

• Experience with Apigee API management platform.

• Hands-on experience with Docker, Kubernetes, and OpenShift.

• Experience with Git, Bitbucket, Maven, Jenkins, and Jira.

• Proficiency with development tools such as IntelliJ, Eclipse, or Visual Studio.

• Experience working with Snowflake, SQL, and PL/SQL.

• Strong testing experience using JUnit, Mockito, Jasmine, Karma, and Selenium with Java.

• Experience working in Agile, Scrum, Kanban, or Waterfall environments.

Preferred Skills

• Experience in the Financial Services industry.

• Knowledge of Financial Risk Management involving equities, treasuries, and mortgage-backed securities.

• Strong understanding of Data Warehousing concepts and large-scale data pipelines.