Java Developer

Axelon Services Corporation
Jersey City, NJ, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$174,720.0 - $185,120.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Spring Security Agile Methodology Artificial Intelligence Apache HTTP Server JIRA Automation of Tests Code Generation Profiling Databases Continuous Integration Relational Databases
+64 more
Cursor Distributed Systems Enterprise Architecture Framework Eclipse (Software) Elasticsearch Java Platform Enterprise Edition (J2EE) Github Gradle Hibernate (Java) IBM WebSphere MQ IntelliJ IDEA Java Persistence API Java Virtual Machine (JVM) Spring Framework Junit PostgreSQL Liquibase Apache Maven MongoDB MySQL NoSQL Object-Relational Mapping OAuth OpenID OpenShift Oracle (Applications) Performance Tuning Scrum Methodology Role-Based Access Control Redis Mockito Prometheus Standard Sql Swagger Software Engineering SonarQube SQL Databases Systems Integration Management of Software Versions Openapi Test-Driven Development (TDD) Spring Cloud GitHub Copilot Retrieval-Augmented Generation Grafana Spring-boot Caching Rate Limiting Git Event Driven Architecture Pgvector Gitlab-ci Gherkin Integration Tests Kubernetes Apache Kafka Bitbucket Claude Api Design Restful APIs Cucumber (Software) Dynatrace Docker Jenkins

Requirements

Java, Software Engineering, Global Financial Markets, Software Engineering, Java, Java Platform Enterprise Edition (Java EE/J2EE), Apache Jakarta, REST (Representational State Transfer), Spring Framework, Performance Tuning/Optimization, * Minimum 10 years of experience in the design and development of enterprise-grade Java-based systems.

  • Proficient in Java 17/21/25 LTS (Java 25 preferred), Core Java, Jakarta EE (J2EE), Spring Framework 7 / Spring Boot 4.x RESTful services.
  • Working knowledge of modern Java language features and JVM internals - GC tuning and performance profiling.
  • Expertise in databases such as Oracle or equivalent (PostgreSQL/MySQL) with strong SQL and PL/SQL programming skills; schema versioning via Flyway/Liquibase.
  • Proficient in using AI-assisted development tools such as Claude, GitHub Copilot, Devin, Cursor for code generation, review, and productivity.
  • Experience with multiple technologies and medium-to-complex distributed systems; well-versed with design standards, patterns, and enterprise frameworks.
  • Fast learner of new tools, frameworks, and technologies; comfortable working with distributed/cross-timezone teams.
  • Experience in event-driven architecture - Spring Boot components integrating with Apache Kafka and MQ (IBM MQ), including partitioning, consumer groups, idempotency, and transactional outbox patterns.
  • Excellent knowledge of Relational Databases, SQL, and ORM technologies (JPA 2/3, Hibernate 6) and connection pooling (HikariCP).
  • Strong understanding of Spring Security 6 - OAuth2.0/OIDC, JWT-based stateless auth, RBAC/ABAC.
  • Familiarity with API design - REST with OpenAPI/Swagger, and exposure to high-performance service communication.
  • Resilience patterns using Resilience4j - circuit breaking, rate limiting, retries.
  • Caching and NoSQL exposure - Redis, MongoDB, Elasticsearch; awareness of vector databases (Pgvector) for AI/RAG-integrated services is a plus.
  • Exposure to Spring AI and LLM integration patterns (RAG workflows) is an added advantage.
  • Tools - Well versed with IntelliJ IDEA/Eclipse.
  • Test-Driven Development and automated testing: JUnit 5, Mockito, AssertJ, Cucumber/Gherkin, Testcontainers for integration testing, contract testing (WireMock/Spring Cloud Contract); JIRA, Maven/Gradle, SonarQube.
  • Experience with version control - GIT, Bitbucket, GitHub (including PR/branching workflows).
  • Experience with Docker, multi-stage builds, Red Hat OpenShift, and Kubernetes (Deployments, ConfigMaps, Secrets, Ingress, HPA/KEDA autoscaling).
  • Experience with CI/CD systems such as Jenkins, GitHub Actions, GitLab CI, or ArgoCD.
  • Observability exposure - Micrometer, Prometheus, Grafana, distributed tracing via OpenTelemetry/Zipkin/Jaeger.
  • Strong understanding of the full Software Development Life Cycle (SDLC).
  • Experience in Agile methodologies - Scrum, sprint planning, and iterative delivery.

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