Principal Software Engineer- eCRM

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Principal Software Engineer serves as a senior technical leader responsible for architecting and delivering next-generation, AI-powered customer platforms that enable personalized, data-driven experiences at enterprise scale. This role combines deep expertise in Generative AI, Large Language Models (LLMs), and agent-based systems with strong knowledge of customer data ecosystems, CRM platforms, and distributed architecture. This leader drives the design and development of AI-enabled applications leveraging Google Gemini Agent Development Kit (ADK), Vertex AI, and related agentic frameworks, advancing capabilities in intelligent automation, multi-agent orchestration, and AI-driven workflows. They establish best practices for model deployment, evaluation, governance, and responsible AI usage across the organization. As a key technical authority, the Principal Software Engineer defines architecture and integration strategies that unify Master Data Management (MDM), Customer Identity Resolution, and Salesforce-based CRM ecosystems across complex, multi-brand and multi-business-unit environments. They ensure scalable, secure, and resilient solutions through modern enterprise architecture patterns, including APIs, microservices, and event-driven systems powered by technologies such as Apache Kafka. This role also champions modern software engineering practices, including CI/CD, DevSecOps, automated testing, and cloud-native development on Google Cloud Platform (GCP), enabling high-performing teams to deliver with speed, quality, and operational excellence. Key Responsibilities: 70% Delivery & Execution Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions Documents, reviews and ensures that all quality and change control standards are met Writes custom code or scripts to automate infrastructure, monitoring services, and test cases Writes custom code or scripts to do "destructive testing" to ensure adequate resiliency in production Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively Contributes to enterprise-wide tools to drive destructive testing, automation, or engineering empowerment Identifies product enhancements (client-facing or technical) to create a better experience for the end users Identifies unsecured code areas and implements fixes as they are discovered with or without tooling Identifies, implements, and shares technical solutions that can be used across the organization Creates and architects foundational code elements that can be reused many times by a product Creates meaningful architecture diagrams and other documentation needed for security reviews or other interested parties Defines Service Level Objectives for product to constantly measure their reliability in production and help prioritize backlog work 20% Support & Enablement: Fields questions from other product teams or support teams Monitors tools and participates in conversations to encourage collaboration across product teams Provides application support for software running in production Proactively monitors production Service Level Objectives for products Works with vendors and the open-source community to help identify and implement feature enhancements in software products Works with other product teams to create API specifications and contracts for shared data Proactively reviews the performance and capacity of all aspects of production: code, infrastructure, data, and message processing Triages high priority issues and outages as they arise 10% Learning: Participates in and leads learning activities around modern software design and development core practices (communities of practice) Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations Attends conferences and learns how to apply new technologies where appropriate Direct Manager/Direct Reports: Typically reports to the Software Engineer Manager or Sr. Manager, Technology Director or Sr. Director. Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Key Qualifications: Proven experience designing and developing AI-powered applications usingGoogle Gemini Agent Development Kit (ADK)and related agentic AI frameworks. Strong understanding ofGenerative AI and Large Language Models (LLMs), including model deployment, orchestration, evaluation, and governance usingGoogle Vertex