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 (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.
For applications and inquiries, contact: [email protected]