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# Java Full Stack Developer

- **Company:** Pyramid Consulting Inc.
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $90,000.0 - $100,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Cloud Computing, Continuous Integration, Relational Databases, Software Debugging, Spring Framework, Python (Programming Language), Machine Learning, MongoDB, NoSQL, Oracle (Applications), Performance Tuning, Redis, Large Language Models, Prompt Engineering, Spring-boot, Caching, Backend, Event Driven Architecture, Kubernetes, Information Technology, Apache Flink, Data Analytics, Apache Kafka, Reactive Programming, Graphql, Restful APIs, Stream Processing, Data Pipelines, Microservices
- **Published:** September 24, 2026
- **Apply:** https://www.thejobnetwork.com/job/java-full-stack-developer-509976358

## About the Role

* Must have skills: Java, Spring, Kafka, Springboot, Microservices, REST API.
 * 6-8 years of strong experience in Java development, including proficiency in Spring / Spring Boot.
 * 2-3 years of experience with Python, focused on backend or data-driven development.
 * Deep understanding of Reactive Programming (WebFlux, etc.)
 * Hands-on experience with Apache Kafka for event-driven architectures.
 * Experience with Flink for stream processing and data pipelines.
 * Proficiency in Redis for caching and performance optimization.
 * Database expertise in both MongoDB (NoSQL) and Oracle (RDBMS).
 * Strong experience in building and consuming RESTful APIs.
 * GraphQL knowledge is good to have but not mandatory.
 * Strong problem-solving and debugging skills.
 * Experience with microservices architecture, CI/CD pipelines, and cloud-native environments (OCP, Kubernetes, etc.).
 * Excellent communication skills; ability to collaborate across engineering and product teams.
 * Bachelor's or Master's degree in Computer Science, Engineering, or related field.
 * Prior experience in banking, fintech, or digital assistant platforms is an advantage

## Description

* Good understanding of Client Dialogflow CX or similar conversational AI frameworks.
 * Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts.
 * Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic frameworks.
 * Conceptual understanding of machine learning fundamentals and model telemetry.