Senior Java Full Stack Developer (Lead)

RJT Compuquest, Inc.
New York, NY, 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
3 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Application Services Automation of Tests Cloud Computing Continuous Integration Database Queries DevOps
+54 more
Amazon DynamoDB Monitoring of Systems Identity and Access Management JSON Python (Programming Language) PostgreSQL Load Testing MySQL Node.Js NoSQL Performance Tuning Redis Message Oriented Middleware Amazon Simple Notification Service (SNS) Software Engineering Spinnaker Systems Integration TypeScript Management of Software Versions WebSocket Openapi Datadog Data Processing Cloud Platform System Performance Testing Spring Cloud GitHub Copilot ReactJS Retrieval-Augmented Generation Large Language Models Grafana Multi-Agent Systems Prompt Engineering Spring-boot Software Security Caching Agentic-AI AWS ECS Cloudformation Kubernetes Apache Kafka Front End Software Development Claude Api Design Cloudwatch Restful APIs Amazon Simple Queue Service (SQS) Terraform Splunk Dynatrace Serverless Computing Docker Jenkins Microservices

Job description

We are seeking a hands-on Senior Java Full Stack Developer / Lead with strong expertise in building and scaling API-first, cloud-native platforms. The ideal candidate will have extensive experience in Java, Spring Boot, microservices, API integration, AWS, and modern front-end technologies, along with exposure to AI-assisted and AI-first development approaches.

The candidate will design and deliver secure, scalable, event-driven applications while collaborating with cross-functional teams to solve complex business problems., * Design, develop, and scale cloud-native applications using Java, Spring Boot, and microservices.

  • Build REST APIs and enterprise integrations using API-first architecture and asynchronous messaging.
  • Develop end-to-end solutions using React, TypeScript, JavaScript, and Java/Spring Boot.
  • Design and implement event-driven microservices using AWS services such as SNS, SQS, and Kafka.
  • Integrate AI capabilities, including Agentic AI, LLMs/SLMs, MCP, RAG, and agent orchestration frameworks.
  • Establish CI/CD pipelines, automated testing, performance testing, and production monitoring.
  • Deploy and manage scalable applications using Docker, Kubernetes, AWS ECS/EKS, and serverless technologies.
  • Implement security best practices across APIs, cloud infrastructure, and application services.
  • Collaborate with product, design, data, architecture, and risk teams.
  • Mentor developers and promote engineering best practices., 1. Full Stack Java Development: Java, Spring Boot, microservices, REST APIs, API integration, Kafka, ReactJS, TypeScript, JavaScript, WebSockets, and Node.js. 2. Cloud & DevOps Engineering: AWS, CI/CD, Docker, Kubernetes, Terraform, service workers, and Agile methodologies. 3. Monitoring & Observability: Grafana, Splunk, Dynatrace, CloudWatch, and OpenTelemetry.

Requirements

  • 12 years of professional software engineering experience.
  • Strong expertise in Java 11/17/21, Spring Boot, REST APIs, JSON, and OpenAPI.
  • Extensive experience with microservices, API integration, and asynchronous messaging using Kafka, SNS, or SQS.
  • Strong front-end development experience with React, TypeScript, and JavaScript.
  • 3 years of experience architecting cloud-native services on AWS.
  • Experience with API versioning, backward compatibility, schema evolution, and contract testing.
  • Hands-on experience with Docker, Kubernetes, ECS/EKS, and serverless computing.
  • Proficiency in CI/CD tools such as Jenkins and Spinnaker.
  • Experience with automated testing, load testing, and performance optimization.
  • Strong SQL skills with PostgreSQL, MySQL, or Aurora, and NoSQL databases such as DynamoDB or DocumentDB.
  • Experience with Redis caching, Terraform/CloudFormation, and infrastructure as code.
  • Knowledge of monitoring and observability tools such as Splunk, Dynatrace, Grafana, and CloudWatch.
  • Understanding of AWS security services, IAM, KMS, Secrets Manager, WAF, and application security.
  • Excellent communication, stakeholder management, and mentoring skills.

AI & Emerging Technology Skills

  • Experience integrating Agentic AI, LLMs/SLMs, MCP, RAG, and AI orchestration frameworks.
  • Exposure to AI-assisted development tools such as GitHub Copilot and Claude.
  • Prompt engineering and AI-driven application development experience.
  • Python experience for LLM engineering, automation, and data processing is a plus.

Preferred Skills

  • Experience with micro frontends, WebSockets, Node.js, and service workers.
  • Knowledge of CEN/XFS APIs.
  • Experience with OpenTelemetry and Datadog.
  • Commercial banking domain knowledge is a plus.
  • Familiarity with Agile methodologies and modern DevOps practices.

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