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Strong employer brand, metro location, and mid-level generalist senior engineering title increase applicant competition significantly.
Domain-specific experience in banking transaction monitoring, payments, fraud and confidential data makes cross-industry fit limited.
Many mandatory technical requirements (expert Java, cloud, LLM frameworks, Kafka, CI/CD) make filters strict and selective.
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Design, develop, and operationalize Java-based software components for Transaction Monitoring and Data Controls applications.
Contribute to Cloud and AI capabilities with a focus on automation, including building Agentic AI solutions.
Collaborate across Cloud Platform, Security, Data, Risk & Compliance teams to create scalable, reusable, and optimized enterprise solutions.
Expert hands-on experience with Java (versions 8/11/17+), Spring Boot, Microservices, Transactional Databases.
Experience with Java data processing frameworks (Apache Spark), REST APIs, Event-Driven Architecture (Kafka).
Professional experience working with Java components on Google Cloud Platform (App Engine, GKE, Cloud Run).
Work Experience Required: Professional experience with scalable, high-volume application design and development; exact years not explicitly mentioned in the JD.
Experience with AI/ML frameworks including LLM-based applications and Agentic AI tools (LangChain, Google ADK, CrewAI), RAG.
Familiarity with cloud-native application development and at least one cloud platform (AWS/GCP/Azure).
Proven ability to work in globally distributed teams across multiple time zones and cultures, delivering enterprise-grade solutions.