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# Principal Java Engineer (Massive-Scale Platforms)

- **Company:** SHINEX TEC INC.
- **Location:** Lynbrook, NY, United States
- **Experience:** Expert
- **Salary:** $45,760.0 - $93,600.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Computing Platforms, Architectural Patterns, Cloud Computing, Cloud Engineering, Programming Tools, Distributed Computing Environment, Distributed Data Store, Distributed Systems, Data Streaming, Enterprise Software Applications, Large Language Models, Spring-boot, Event Driven Architecture, Apache Kafka, Data Pipelines, Microservices
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=94e14f21163dce44

## About the Role

Experience: 10+ years of deep technical expertise in enterprise software engineering.

AI Proficiency: Well-versed in leveraging advanced AI versions, tools, and workflows to optimize development efficiency and system performance.

Core Tech Stack: Advanced mastery of Java and Spring Boot microservices ecosystem.

Cloud Architecture: Extensive experience architecting high-performance, cloud-native solutions on AWS.

Event Streaming: Proven track record optimizing automated data pipelines using Apache Kafka or similar messaging frameworks.

Distributed Systems: Strong background in distributed data processing, real-time feeds, and complex event-driven architectures.

Ownership Mindset: Experience taking complete ownership of large-scale platforms that involve massive user scaling and high architectural complexity.

## Description

We are seeking a senior-level, heavy-hitting Principal / Lead Java Engineer to take complete technical ownership of our massive-scale platforms. You will design, architect, and optimize high-performance distributed systems. This role is ideal for a visionary engineer who thrives on solving complex distributed data challenges and scaling infrastructure to handle massive user loads. This job will be on-site with potential hybrid possibilities., Platform Architecture: Lead the architectural evolution and scaling of our enterprise professional networking and campaign systems.

AI-Driven Development: Integrate advanced AI development tools and LLMs into daily engineering workflows to accelerate coding, testing, and system design.

Legacy Modernization: Guide architectural patterns for transforming complex monolithic structures into highly scalable, modern microservices.

Data Pipeline Engineering: Architect and optimize robust, real-time data pipelines and distributed data processing systems.

Social Graph Modeling: Optimize and evolve data models capable of handling massive, interconnected social graphs and real-time activity feeds.

Capacity & Scaling Management: Lead system capacity planning and implement infrastructure strategies (such as "doubling up" infrastructure) to handle massive user scaling.


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