Principal MarTech Engineer — AI & Cloud Leader

Macy's; Johns Creek (GA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Merchandise discounts

Performance-based incentives

Annual merit review

Employee Assistance Program (EAP)

Tuition reimbursement

Job summary

Macy's is seeking a Principal Engineer to lead hands-on software design across multiple components and drive key initiatives. You will work with Product Managers, Tech Leads, and Architects to deliver high‑quality, scalable MarTech solutions using Java, Python, and cloud-native architectures.

The role emphasizes mentorship, collaboration, and prototyping AI-driven features in an agile environment, with opportunities to influence product direction and engineering quality.

Qualifications

• Hands-on design and implementation of multiple system components.
• Experience with MarTech and Adobe marketing products.
• Proven ability to prototype technologies and work in Agile environments.

Responsibilities

• Own design and development of software systems and lead implementations.
• Collaborate with cross-functional teams in agile ceremonies and design sessions.
• Prototype innovative technologies and validate with production data.
• Mentor engineers, perform code reviews, and communicate trade-offs to stakeholders.
• Drive timely, quality releases and manage project priorities.

Skills

Java

Python

Data structures

Algorithms

MarTech stack

Adobe Experience Platform

Adobe Journey Optimizer

AI & ML

GCP

Cloud architecture

Mentorship

Leadership

Agile

Prototyping

Product collaboration

Problem solving

Ownership

Education

Bachelor's degree or equivalent work experience

Tools

Adobe Experience Platform

Adobe Journey Optimizer

Adobe Target

Customer Journey Analytics

Adobe Experience Manager

Job description

Macy's is seeking a Principal Engineer to lead hands-on software design across multiple components and drive key initiatives. You will work with Product Managers, Tech Leads, and Architects to deliver high‑quality, scalable MarTech solutions using Java, Python, and cloud-native architectures.

The role emphasizes mentorship, collaboration, and prototyping AI-driven features in an agile environment, with opportunities to influence product direction and engineering quality.