Core Skill 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 (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
Prior experience in banking, fintech, or digital assistant platforms is an
advantage.
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