Job Description

Ensure candidate worked on AI Tools to generate code and fixing coding errors in AI tools , this is mandatory, don't share profiles of candidates who has done POC'S

Overall Evaluation Summary (*****):
The candidate demonstrated strong core Java fundamentals and reasonable familiarity with microservices and streaming technologies such as Kafka . However, gaps were observed in unit and mutation testing, reactive programming (WebFlux), resiliency patterns (e.g., circuit breakers), and the ability to write medium complexity queries. While the candidate has some exposure to Python and AI tools , they required additional guidance to arrive at optimal solutions. Communication was generally good, though confidence occasionally exceeded demonstrated depth of knowledge.

Rate $75+

102602-71, 1 / 102602-72, 1

Location: Phoenix, AZ or Charlotte, NC

Core Skill Requirements

• 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.

AI / Conversational Platform Exposure

• Good understanding of Google 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.

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.

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