π οΈ Core Skill Requirements
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6–8 years of strong experience in Java development, including proficiency in Spring / Spring Boot.
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4–5 years of experience with Python, focused on backend or data-driven development.
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Deep understanding of Reactive Programming (Web Flux, etc.)
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Hands-on experience with Apache Kafka for event-driven architectures.
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Experience with Flink for stream processing and data pipelines.
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Proficiency in Redis for caching and performance optimization.
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Database expertise in both MongoDB (NoSQL) and Oracle (RDBMS).
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Strong experience in building and consuming RESTful APIs.
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Graph-QL knowledge is good to have but not mandatory.
π€ AI / Conversational Platform Exposure
• π§ Good understanding of Google Dialog-flow CX or similar conversational AI frameworks.
• π§ Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts.
• π§ Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic frameworks.
• π§ Conceptual understanding of machine learning fundamentals and model telemetry.
π§ Additional Skills
• π§© Strong problem-solving and debugging skills.
• π§© Experience with microservices architecture, CI/CD pipelines, and cloud-native environments (OCP, Kubernetes, etc.).
• π§© Excellent communication skills; ability to collaborate across engineering and product teams.
π Preferred Qualifications
• π bachelor’s or master’s degree in computer science, Engineering, or related field.
• π Prior experience in banking, fintech, or digital assistant platforms is an advantage.