Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Woodlawn, MD, United States
Posted
Yesterday
DockerExpressMicroservicesNode.jsSOAPSpringSpring BootAWSSonarQubeTDDAngularBDDCSSConfluenceCucumberGitHTMLHibernateJUnitJWTJavaJavaScriptJenkinsJiraKafkaPostgreSQLRESTReactTypeScriptjQuery
Job Description
Lead Java Full Stack Cloud Engineer
Location: Woodlawn, MD | Onsite 5 days/week
Interview: In-person interview required
Key Requirements:
- Ability to obtain and maintain an SSA Public Trust Suitability clearance
- Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field
- 10+ years of experience with Java, Spring Boot, Angular, and React
- Hands-on experience as a Technical Lead
- Strong Java/JEE design and development experience
- Extensive experience with Angular, React, Express/Node.js, TypeScript, JavaScript, HTML, CSS, XML, AJAX, and jQuery
- Experience designing high-throughput and low-latency applications
- Strong experience with Spring Boot, RESTful APIs, microservices, and Single-Page Applications
- Experience developing responsive and Section 508-compliant web applications
- Experience with AWS, PostgreSQL, Red Hat OpenShift, and Docker
- Strong experience with CI/CD tools including Jenkins, Git/Bitbucket, Jira, Nexus, Maven, SonarQube, Fortify, and UrbanCode Deploy
- Experience with Spring Batch, JSR 352, and Control-M
- Strong experience with REST/SOAP, XML, JSON, JAX-WS, AXIS, Jersey, CXF, OAuth2, and JWT
- Experience with DB2, PostgreSQL, JPA, Hibernate, Tomcat, and WebSphere
- Experience with JUnit, Mockito, PowerMock, TDD, BDD, Cucumber, and Gherkin
- Experience with performance tuning, application security, and addressing code vulnerabilities
- Experience documenting architecture using Visio, Confluence, UML, and IT governance frameworks
- Strong technical leadership, mentoring, communication, and stakeholder collaboration skills
Preferred Experience:
- Kafka-based event-driven architecture
- Kafka producers, consumers, topics, partitions, consumer groups, Kafka Connect, and Kafka Streams
- Knowledge of AI technologies and applying AI to existing architectures
- Section 508 standards
- Technical white papers and system design documents
- Federal or state government IT projects
- Low-code platforms such as ServiceNow, Pega, or Microsoft Power Platform
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