Java Backend Engineer Jobs

Java Backend Engineer

Thirdeye Data

Location:
United States , Sunnyvale

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are seeking a highly skilled Java Backend Engineer with expertise in agentic workflows and MCP (Model Context Protocol) service integration to join our engineering team. The ideal candidate will design, develop, and optimize backend systems that power intelligent, autonomous agents and context-driven services. You will collaborate with cross-functional teams to architect scalable solutions that leverage cutting-edge AI workflows while maintaining reliability, performance, and security.

Job Responsibility:

Design, develop, and maintain scalable Java-based backend services to support agentic workflows and AI-driven applications
Implement and optimize MCP services to enable seamless context sharing and dynamic orchestration between models, agents, and tools
Architect APIs, microservices, and event-driven systems that ensure high performance, reliability, and low-latency communication
Collaborate with data scientists, AI/ML engineers, and frontend developers to integrate agentic intelligence into production systems
Write clean, maintainable, and testable code while following best practices in software engineering
Monitor, troubleshoot, and optimize system performance, scalability, and fault-tolerance
Contribute to workflow automation, context management, and intelligent decision-making systems
Stay up to date with emerging technologies in AI, distributed systems, and backend engineering

Requirements:

Bachelor’s/Master’s degree in Computer Science, Engineering, or related field
5+ years of backend engineering experience with strong expertise in Java (Java 11+) and Python
Proven experience with agentic workflows (autonomous task orchestration, tool use, context-driven execution)
Hands-on with MCP (Model Context Protocol) service development and integration
Strong understanding of microservices architecture, RESTful APIs, gRPC, and message queues (Kafka, RabbitMQ, etc.)
Experience with databases (SQL & NoSQL) and caching solutions (Redis, Memcached)
Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Solid grasp of concurrency, multithreading, and distributed systems design
Proficiency in CI/CD pipelines, testing frameworks (JUnit, Mockito), and code quality tools
Excellent problem-solving, debugging, and communication skills

Nice to have:

Experience with AI/ML infrastructure, LLM-based applications, or agent frameworks
Knowledge of event sourcing, CQRS, and workflow engines (e.g., Temporal, Camunda, Airflow)
Contributions to open-source projects related to agentic systems or MCP
Understanding of observability (logging, tracing, metrics) in distributed systems

Additional Information:

Job Posted:
December 26, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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