Java Full-Stack Developer

Donato Technologies, Inc

San Leandro, CA, United States

3 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Java (Programming Language) Artificial Intelligence Cloud Computing Continuous Integration Relational Databases Software Debugging Python (Programming Language) Machine Learning MongoDB NoSQL Oracle (Applications) Performance Tuning

+17 more

Redis Large Language Models Prompt Engineering Spring-boot Caching Backend Event Driven Architecture Kubernetes Information Technology Apache Flink Data Analytics Apache Kafka Reactive Programming Restful APIs Stream Processing Data Pipelines Microservices

Requirements

6 8 years of strong experience in Java development, including proficiency in Spring / Spring Boot. 4 5 years of experience with Python, focused on backend or data-driven development. Deep understanding of Reactive Programming (Web Flux, 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. Graph-QL knowledge is good to have but not mandatory.

AI / Conversational Platform Exposure

Good understanding of Google Dialog-flow 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.

Additional Skills

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.

Preferred Qualifications

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.