Software Engineer III - Fullstack (Java, React, Python and AI) Engineer

Overview

In this role, you will design, build, and support scalable web applications and integrations using Java, Python, and React, with AI-enabled features. You’ll collaborate with product, marketing, and partners to translate requirements into technical solutions, while advancing AI initiatives and ensuring security and compliance. You’ll optimize data flows, deliver personalized experiences, and uphold engineering excellence across cross-functional teams. This is a chance to shape customer-facing and internal platforms at a global financial services leader.

Responsibilities

• Design, develop, test, and maintain full-stack features using Java, Python, React, and AI-enabled services
• Build reliable integrations with marketing systems such as CDP/CRM, campaign management, and attribution systems
• Implement and optimize data flows and event-driven pipelines to support segmentation, personalization, and measurement
• Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity with peer review, automated testing, and secure coding standards
• Apply SDLC tools and enterprise AI-assisted development to improve automation value
• Contribute to AI-enabled initiatives for content generation, experimentation, personalization, and workflow automation
• Collaborate with product, marketing, and partners to translate requirements into well-designed technical solutions
• Improve engineering excellence through code reviews, test automation, CI/CD, observability, performance tuning, and operational best practices
• Ensure solutions meet security, privacy, and compliance expectations including consent management, data minimization, and access controls

Key requirements

• Proficiency in Java, Python, and React
• Strong backend and frontend engineering fundamentals
• Experience delivering customer-facing and internal platforms
• Ability to build integrations with systems such as CMS, CDP, and CRM
• Understanding of AI services and their integration into web applications
• Knowledge of data flows, event-driven pipelines, and personalization techniques
• Familiarity with security, privacy, and compliance requirements
• Hands-on experience using enterprise-authorized AI-assisted software development tools with ability to evaluate, validate, and refine outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs; guide peers on safe usage
• Commitment to engineering excellence and operational best practices
• Effective collaboration and communication skills
• Effective collaboration and communication skills
• Java
• Python
• React
• backend and frontend engineering fundamentals
• Integrations with CMS/CDP/CRM

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