Software Engineer Manager – Customer Core Platforms

🔥 3 minutes ago

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Logo of The Home Depot

The Home Depot

10,000+ employees

Founded 1978

🛒 Retail

👥 B2C

💰 Debt Financing on 2007-07

Retail • B2C

The Home Depot is a leading home improvement retailer, offering a wide range of building materials, home improvement products, lawn and garden products, and related services. The company operates both physical stores and an online platform, providing comprehensive solutions for DIY enthusiasts, professional contractors, and homeowners. The Home Depot is committed to diversity, equity, and inclusion, providing employment opportunities and benefits to a diverse workforce. Additionally, the company places a high emphasis on customer service and associate engagement to maintain its position as a trusted leader in the home improvement industry.

📋 Description

• Lead a team of 10 engineers across four foundational systems. • Manage ~180 repos across high-scale enterprise platforms. • Drive delivery on multiple Top 40 initiatives. • Collaborate with cross-functional teams to ensure secure, reliable, and scalable delivery. • Champion AI-forward engineering as a core team practice. • Drive continuous improvement in observability instrumentation, monitoring and alerting, platform resiliency, and cloud cost optimization.

🎯 Requirements

• Must be eighteen years of age or older. • Must be legally permitted to work in the United States. • Mastery of an object oriented programming language (preferably Java) • Engineering leadership experience with Java, Spring Boot, GCP, Cassandra, cloud cost optimizations and distributed search platforms (Solr/elastic/mongo) • Experience managing large-scale foundational customer platform portfolios with AI-PDLC • Strong people leadership with experience managing 10+ direct reports • Proven capacity planning and quarterly commitment management in collaboration with Product teams and Principals • Hands-on AI-forward leader with experience in GitHub Copilot, Gemini Enterprise, and Claude, driving AI adoption as a measurable engineering metric including AI coding usage, PR cycle time, and balanced team insights through Code Climate velocity metrics • Comfortable with agentic workflows, MCP integrations, and responsible AI governance at enterprise scale.

🏖️ Benefits

• None specified

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