Education: Bachelor's degree or related field
Experience: 2+ years
Design and build automation for marketing planning and operations, collaborating with stakeholders to understand requirements and deliver impactful solutions. Review and implement well-structured, testable, and maintainable code for product features, contributing to a high standard of engineering excellence and quality.
Leverage AI Native engineering practices across the development lifecycle, to experiment, and utilize telemetry, and feedback to optimize system performance and user outcomes. Implement best practices for security, reliability, and compliance, ensuring robust deployment pipelines and monitoring for marketing applications.
Contribute to raising awareness and understanding of engineering principles (e.g., security, testability, scalability, accessibility) within the team and across related functions. Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Experience in AI-native engineering practices, with hands-on experience applying AI to develop software solutions across the development lifecycle, including code generation, test automation, and related workflows. Experience designing, building, and maintaining large-scale enterprise systems with high reliability and performance.
Understanding of geo-distributed architectures, including designing, deploying, and operating globally distributed applications. Experience with marketing technologies or a solid understanding of marketing processes is considered an advantage.
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