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Tier-1 brand, metro location, and visible backend+AI role increase applicant competition.
Strong backend/cloud/AI skills are transferable, but banking transaction-monitoring and compliance increase domain specificity.
Multiple mandatory technical skills (Java, GCP, Kafka, LLMs) and seniority raise strict filtering.
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Design and implement Java-based software components for Transaction Monitoring Data Controls applications focusing on automation and cloud/AI capabilities.
Develop and operationalize scalable, high-volume Java applications on cloud platforms, ensuring performance tuning, resiliency, and fault tolerance.
Collaborate cross-functionally with Cloud Platform, Security, Data, Risk & Compliance teams to create optimized enterprise solutions and promote best practices.
Expert hands-on experience with Java (versions 8/11/17+), Spring Boot, Microservices, transactional databases.
Proven experience with Java data processing frameworks like Apache Spark, REST APIs, Event-Driven Architecture, Kafka.
Professional experience with Java components on Google Cloud Platform services such as App Engine, GKE, Cloud Run.
Work Experience Required: Not explicitly mentioned in the JD.
Experience developing and integrating LLM-based applications and Agentic AI frameworks (e.g., LangChain, Google ADK, CrewAI, RAG).
Familiarity with cloud-native application development across AWS/GCP/Azure and CI/CD tools like Jenkins or GitHub Actions.
Skilled in designing end-to-end enterprise solutions with exposure to large data projects, data engineering optimization, and security principles related to sensitive/confidential data.