ull Stack Developer (UI + Backend), GCP & AI, AVP

Role Description

What we’ll offer you

Your key responsibilities

• Build and deliver end-to-end solutions across frontend UI and backend services
• Develop responsive, reusable, and accessible user interfaces for business-critical workflows
• Design and implement Java-based microservices and REST APIs using Spring Boot
• Integrate frontend applications with backend services, event streams, and data platforms
• Develop cloud-native applications on GCP (App Engine, GKE, Cloud Run)
• Build event-driven and data-processing pipelines using Kafka and Spark
• Contribute to LLM/Agentic AI and RAG-based automation use cases
• Drive application performance, resiliency, fault tolerance, observability, and security best practices
• Collaborate with Cloud Platform, Security, Data, Risk, and Compliance teams to deliver enterprise-grade solutions
• Promote code quality, reuse, and engineering standards across globally distributed teams

Your skills and experience

• Strong hands-on experience in both UI and backend development
• Backend: Java (8/11/17+), Spring Boot, Microservices, transactional databases
• Frontend/UI: React or Angular, TypeScript/JavaScript, responsive design, component-based architecture, API integration
• Experience with REST APIs, event-driven architecture, and Kafka
• Exposure to Java data processing frameworks such as Apache Spark
• Proven experience with GCP services such as App Engine, GKE, and Cloud Run
• Experience building scalable, high-volume applications with performance tuning and resilience engineering
• Experience with at least one data storage technology (e.g., Oracle, BigQuery)
• Experience with CI/CD tools such as TeamCity, Jenkins, or GitHub Actions
• Experience designing end-to-end enterprise solutions in cloud-native environments (AWS/GCP/Azure)
• Strong verbal and written communication skills, with experience in global collaboration
• Practical experience in LLM-based application development and Agentic AI frameworks (LangChain, Google ADK, CrewAI), including RAG patterns

Preferred Qualifications

• Experience with Red Hat OpenShift
• Experience with Kotlin
• Security implementation experience (OAuth2/OIDC)
• Frontend testing experience (Jest, Cypress, Playwright)
• Experience in large-scale data integration projects/products
• Data engineering experience (partitioning and optimization for retrieval/insert performance)
• Experience handling confidential data and implementing privacy-preserving design approaches
• Domain experience in payment screening, fraud detection, integrity monitoring, or payment lifecycle management
• Experience with Drools or similar rules engines
• Knowledge of data quality, lineage, observability, and data security principles
• Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

How we’ll support you

About us and our teams