Hudson Information Technology and Manpower Services Logo

Hudson Information Technology and Manpower Services

Java Developer – 4–8 Years || USC/GC/H4EAD

Reposted 2 Months Ago
In-Office or Remote
7 Locations
60K-80K Annually
Mid level
In-Office or Remote
7 Locations
60K-80K Annually
Mid level
Design, develop, test, and maintain Java-based enterprise applications and scalable REST APIs/microservices using Spring Boot. Work with relational databases, unit/integration tests, CI/CD, version control, and participate in Agile ceremonies. Support cloud deployments, debugging, code reviews, and collaborate with cross-functional teams.
The summary above was generated by AI

Job Summary

We are seeking an experienced Java Developer with 4–8 years of professional experience to design, develop, test, deploy, and maintain scalable enterprise applications and distributed systems. The ideal candidate will have strong hands-on expertise in modern Java, Spring Boot, REST APIs, microservices, cloud platforms, event-driven architecture, containers, and CI/CD, along with a solid understanding of application security, observability, and system design.

Exposure to AI/LLM integration and AI-enabled application development using modern Java frameworks is highly desirable.

The candidate must be flexible regarding location and willing to relocate anywhere in the United States for the right opportunity.

Experience: 4–8 Years
Employment Type: W2 Only
Work Authorization: U.S. Citizen / Green Card / H4 EAD Only
Location: Open to opportunities across the United States
Relocation: Must be willing to relocate anywhere in the U.S. for a suitable opportunity

Cloud & Modern Development

Experience with one or more of the following:

  • AWS, Microsoft Azure, or Google Cloud Platform (GCP)

  • Cloud-native application development and deployment

  • Docker and containerized application development

  • Kubernetes and container orchestration

  • Helm for Kubernetes application deployment

  • CI/CD using Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or equivalent

  • Apache Kafka or other event-streaming/messaging technologies

  • Redis or other distributed caching technologies

  • NoSQL databases such as MongoDB, DynamoDB, or Cassandra

  • Infrastructure as Code using Terraform or equivalent tools

Security & API Development

  • Experience with Spring Security

  • Understanding of OAuth 2.0, OpenID Connect, and JWT

  • Experience securing REST APIs and microservices

  • Knowledge of API Gateway patterns and rate limiting

  • Understanding of authentication, authorization, secrets management, and secure coding practices

  • Familiarity with API documentation using OpenAPI/Swagger

Event-Driven & Distributed Systems

  • Hands-on experience with Apache Kafka, including producers, consumers, topics, partitions, consumer groups, and event-driven architecture

  • Understanding of asynchronous processing and messaging patterns

  • Experience designing resilient and scalable distributed services

  • Knowledge of fault tolerance, retries, circuit breakers, timeouts, and idempotency

  • Exposure to Spring Cloud, Resilience4j, or equivalent technologies

Observability & Performance

  • Experience with application and infrastructure monitoring

  • Familiarity with Prometheus, Grafana, OpenTelemetry, Splunk, ELK/OpenSearch, or equivalent observability platforms

  • Understanding of metrics, logs, distributed tracing, and application health monitoring

  • Experience troubleshooting production issues and analyzing application performance

  • Understanding of JVM monitoring, garbage collection, memory management, and performance tuning is a plus

AI & Modern Application Development

  • Exposure to Generative AI, LLMs, or AI-enabled enterprise applications

  • Experience with Spring AI, LangChain4j, or similar Java-based AI integration frameworks is a plus

  • Understanding of integrating LLM APIs, embeddings, vector databases, RAG, or AI-powered APIs is desirable

  • Experience building applications that consume AI/ML services through REST APIs or cloud AI platforms is a plus

Front-End Exposure

  • Working knowledge of modern front-end technologies such as React, Angular, TypeScript, HTML, and CSS is a plus

  • Understanding of integrating Java/Spring Boot backend services with modern web applications

Preferred Qualifications

  • Experience with Spring Cloud and cloud-native development

  • Experience with Kafka/event-driven architecture

  • Experience with Kubernetes, Helm, and Docker

  • Experience implementing CI/CD and DevSecOps practices

  • Experience with Terraform and Infrastructure as Code

  • Understanding of 12-factor application principles

  • Experience with API design, versioning, documentation, and lifecycle management

  • Strong understanding of system design, scalability, availability, reliability, and performance

  • Experience working in production environments supporting highly available applications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field is preferred

Key Responsibilities

  • Design, develop, test, and maintain scalable Java-based enterprise applications

  • Build and maintain Spring Boot microservices and REST APIs

  • Develop cloud-native and distributed applications

  • Design and implement event-driven solutions using Kafka

  • Integrate applications with relational and NoSQL databases

  • Develop secure APIs using Spring Security, OAuth2/OIDC, and JWT

  • Write high-quality unit, integration, and automated tests

  • Participate in code reviews and maintain coding standards

  • Develop and maintain CI/CD pipelines

  • Containerize applications using Docker and deploy them using Kubernetes

  • Monitor, troubleshoot, and optimize applications in development and production environments

  • Collaborate with architects, DevOps engineers, QA engineers, product teams, and other developers

  • Participate in Agile ceremonies and contribute to technical design and architecture discussions

  • Evaluate and adopt modern technologies that improve application scalability, reliability, security, and developer productivity

  • Contribute to AI-enabled application initiatives where applicable

Core Technology Stack

Java 17/21 | Spring Boot | Spring Security | REST APIs | Microservices | Kafka | SQL | MongoDB | Redis | Docker | Kubernetes | Helm | AWS/Azure/GCP | Terraform | CI/CD | JUnit 5 | Mockito | Git | OpenTelemetry | Prometheus | Grafana | OAuth2/OIDC | JWT | Spring AI | LangChain4j

Required Skills

  • 4–8 years of professional experience in Java development

  • Strong hands-on experience with Java 17/21, with exposure to newer Java LTS versions a plus

  • Strong knowledge of Core Java, OOP, Collections, Generics, Streams, Multithreading, Concurrency, Exception Handling, and JVM fundamentals

  • Strong experience with Spring Framework and Spring Boot

  • Hands-on experience developing RESTful APIs and Microservices

  • Strong understanding of microservices architecture, distributed systems, and service-to-service communication

  • Strong experience with SQL and relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server

  • Experience with Git and Git-based development workflows

  • Experience writing unit, integration, and API tests using JUnit 5, Mockito, Spring Boot Test, or equivalent frameworks

  • Experience with Maven or Gradle

  • Strong understanding of Agile/Scrum development methodologies

  • Strong debugging, troubleshooting, performance optimization, and problem-solving skills.

Candidate Requirements

  • Must be authorized to work in the U.S. as a U.S. Citizen, Green Card holder, or H4 EAD holder.

  • Must be willing to work on W2.

  • Must be willing to relocate anywhere in the United States for a suitable opportunity.

  • Must have 4-8 years of hands-on professional Java development experience.

  • Strong communication and collaboration skills required.

Similar Jobs

12 Hours Ago
Easy Apply
Remote or Hybrid
Easy Apply
82K-105K Annually
Entry level
82K-105K Annually
Entry level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Generate and qualify enterprise sales opportunities for Samsara’s SaaS products by conducting approximately 50 daily cold calls, mapping accounts, engaging executives, and building product demand. The role requires resilience, curiosity, collaboration, and the ability to learn technical concepts and use AI in daily workflows. Successful representatives may advance to closing sales roles within two years.
Top Skills: Artificial Intelligence (Ai)Internet Of Things (Iot)Linkedin Sales NavigatorSalesforceZoominfo
13 Hours Ago
Remote or Hybrid
7 Locations
185K-327K Annually
Senior level
185K-327K Annually
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Build and operate database and storage platform software, including services, APIs, and developer tools for provisioning, migrations, upgrades, and lifecycle management. Solve scaling, performance, reliability, and data correctness challenges across databases, distributed systems, cloud infrastructure, and networking. Partner with engineering teams on schemas and platform adoption, lead technical projects through rollout, participate in on-call response, and use AI-assisted tools in development.
Top Skills: Ai-Assisted Engineering ToolsAmazon ElasticacheAPIsAWSAws AuroraBackend ServicesDynamoDBGoJavaKubernetesMySQLObservability ToolingOpensearchRedisRubyVitess
Yesterday
Easy Apply
Remote or Hybrid
Easy Apply
155K-213K Annually
Senior level
155K-213K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead Samsara’s AI initiatives across the software development lifecycle, including developer agents and SRE AI. Manage five to ten senior engineers, set technical direction without an established roadmap, evaluate build-versus-buy decisions, control AI and infrastructure costs, scale automated incident response, and build trust in actions such as root-cause analysis, severity escalation, and deployment rollbacks. Partner directly with R&D leaders and developers while hiring, mentoring, and developing an inclusive, high-performing team.
Top Skills: Ai AgentsClaudeCloud InfrastructureCodexIotModel Context Protocol (Mcp)Sre Automation

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account