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Tier-1 brand, mid-level generalist full-stack role in metro increases candidate competition.
Medium because full-stack and cloud skills transfer across industries, though payments/fraud domain favors banking experience.
High due to broad mandatory tech stack, cloud, streaming, and LLM experience requirements.
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Design, develop, and deliver end-to-end full stack applications spanning frontend UI (React/Angular) and backend microservices (Java, Spring Boot) for transaction monitoring and data controls.
Develop cloud-native scalable applications on GCP including App Engine, GKE, and Cloud Run with event-driven pipelines (Kafka, Spark) and AI automation (LLM, Agentic AI, RAG).
Ensure application performance, resiliency, observability, security best practices and collaborate cross-functionally with Cloud Platform, Security, Data, Risk and Compliance teams.
Strong hands-on experience in full-stack development with Java (8+) backend, Spring Boot microservices, and frontend frameworks React or Angular with TypeScript/JavaScript.
Experience building cloud-native applications on GCP (App Engine, GKE, Cloud Run) and working with event-driven architecture using Kafka and data processing frameworks such as Apache Spark.
Experience designing and implementing scalable enterprise solutions with REST APIs, transactional databases and knowledge of at least one data storage technology (Oracle, BigQuery).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced with high-volume, scalable cloud applications emphasizing performance tuning, resiliency, and fault tolerance in financial services or data-intensive domains.
Skilled in integrating LLM-based AI frameworks (e.g., LangChain, Google ADK, CrewAI) and implementing AI-driven automation in software products.
Comfortable collaborating across global teams and working with security, compliance, and data governance functions in regulated environments.