Join us to shape the future of web applications with innovative AI-driven solutions. You will have the opportunity to work across both backend and frontend technologies, collaborating with diverse teams to deliver impactful customer and internal platforms. Your expertise will help us build reliable integrations and drive experimentation and personalization. We value your passion for engineering excellence and your commitment to secure, compliant solutions. Discover a place where your skills and ideas can make a real difference.
As a Full Stack Engineer in our team, you will design, build, and support scalable web applications and integrations. You will leverage Java, Python, and React to deliver AI-enabled features and capabilities. Your role involves collaborating with product, marketing, and partners to translate requirements into technical solutions. You will contribute to AI initiatives, optimize data flows, and ensure our platforms meet security and compliance standards. Your work will help us deliver personalized and reliable experiences.
Job Responsibilities:
1. Design, develop, test, and maintain full-stack features using Java, Python, React, and AI-enabled services
2. Build reliable integrations with marketing systems such as CDP/CRM, campaign management, and attribution systems
3. Implement and optimize data flows and event-driven pipelines to support segmentation, personalization, and measurement
4. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
5. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
6. Contribute to AI-enabled initiatives for content generation, experimentation, personalization, and workflow automation
7. Collaborate with product, marketing, and partners to translate requirements into well-designed technical solutions
8. Improve engineering excellence through code reviews, test automation, CI/CD, observability, performance tuning, and operational best practices
9. Ensure solutions meet security, privacy, and compliance expectations including consent management, data minimization, and access controls
Required Qualifications, Capabilities, and Skills:
10. Proficiency in Java, Python, and React
11. Strong backend and frontend engineering fundamentals
12. Experience delivering customer-facing and internal platforms
13. Ability to build integrations with systems such as CMS, CDP, and CRM
14. Understanding of AI services and their integration into web applications
15. Knowledge of data flows, event-driven pipelines, and personalization techniques
16. Familiarity with security, privacy, and compliance requirements
17. Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
18. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practice
19. Commitment to engineering excellence and operational best practices
20. Effective collaboration and communication skills
Preferred Qualifications, Capabilities, and Skills:
21. Experience with campaign management and attribution systems
22. Background in AI-enabled content generation, experimentation, or workflow automation
23. Skills in test automation, CI/CD, and observability tools
24. Experience optimizing performance and scalability
25. Familiarity with consent management and data minimization practices
26. Ability to drive innovation in personalization and measurement
27. Experience working in cross-functional teams