Senior Java Developer – GenAI & Microservices

Photon; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Photon is seeking a Senior Java Developer specializing in GenAI integration and microservices. You will design scalable enterprise apps, implement GenAI architectures, and lead integration with AI services.

The role requires strong Java expertise, experience with Spring Boot, Kafka, and cloud deployments. Collaboration with cross-functional teams in Dallas/Columbus is essential for success.

Qualifications

• 8+ years of Java/J2EE development experience.
• Strong Java, Spring Boot, and Microservices architecture knowledge.
• Solid systems design, distributed systems, patterns, and API design.

Responsibilities

• Design and develop scalable Java applications with Spring Boot and microservices.
• Own high- and low-level system design and technical solutioning.
• Build event-driven architectures using Kafka for real-time processing.

Skills

Java/J2EE

Spring Boot

Microservices

System Design

Kafka

Python

GenAI

LLM

RAG

REST API

Cloud

Kubernetes

Tools

Docker

Kubernetes

CI/CD

DevOps

Job description

Senior Java Developer GenAI & Microservices
Dallas, TX / Columbus, OH

Job Description

We are looking for an experienced Java Developer with strong expertise in System Design, Microservices, Spring Boot, Kafka, Python, and GenAI Architecture. The ideal candidate will be responsible for designing scalable, high-performance enterprise applications and integrating modern GenAI capabilities into distributed systems.

Key Responsibilities

• Design and develop scalable, resilient applications using Java, Spring Boot, and Microservices.

• Own and contribute to high-level and low-level system design, architecture, and technical solutioning.

• Design event-driven architectures using Apache Kafka for real-time data and asynchronous processing.

• Develop secure and scalable REST APIs and backend services.

• Design and implement GenAI/LLM-based architectures, including RAG, AI agents, model integration, and AI-powered enterprise solutions.

• Work with Python for AI/ML integrations, automation, data processing, and GenAI application development.

• Integrate LLMs and AI services with existing Java-based enterprise applications and microservices.

• Evaluate and recommend appropriate technologies, frameworks, design patterns, and architectural approaches.

• Drive performance, scalability, reliability, security, and observability across distributed systems.

• Collaborate with product managers, architects, data engineers, ML engineers, and development teams.

• Provide technical leadership, conduct code/design reviews, and mentor engineering teams.

Focused Skill Need:

Java | Spring Boot | Microservices | System Design | Kafka | Python | GenAI | LLM | RAG | AI Agents | REST API | Cloud | Kubernetes

Mandatory Skills:

• 8 years of experience in Java/J2EE application development.

• Strong expertise in Java, Spring Boot, and Microservices Architecture.

• Strong understanding of System Design, Distributed Systems, Design Patterns, and API Architecture.

• Hands-on experience with Apache Kafka and event-driven architecture.

• Strong Python programming experience, particularly for AI/GenAI integrations.

• Experience designing or implementing GenAI architectures and LLM-based applications.

• Knowledge of RAG, Vector Databases, Embeddings, Prompt Engineering, and AI Agents.

• Experience integrating LLMs such as OpenAI, Gemini, Claude, Llama, or similar models.

• Strong understanding of REST APIs, authentication, security, scalability, and performance optimization.

• Experience with relational and/or NoSQL databases.

• Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.

• Experience with Docker, Kubernetes, CI/CD, and modern DevOps practices is preferred.

Nice to Have Skills:

• LangChain, LangGraph, LlamaIndex, or similar GenAI frameworks.

• Vector databases such as Pinecone, Weaviate, Milvus, pgvector, or similar.

• Experience building Agentic AI / Multi-Agent Systems.

• Knowledge of AI/ML concepts and model deployment.

• Experience with observability tools and distributed tracing.

• Strong communication, problem-solving, and technical leadership skills.