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With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
Preferred Qualifications:
- 1–3 years of relevant software development or engineering experience.
- Experience programming in Python and at least one object-oriented programming language (Java preferred).
- Experience building agentic AI systems — multi-agent orchestration, tool use, and workflow control using frameworks such as LangChain/LangGraph, Google Agent Development Kit (ADK), or similar.
- Experience developing or integrating Model Context Protocol (MCP) servers and clients to expose internal tools and data sources to AI agents.
- Experience building retrieval-augmented generation (RAG) systems — document ingestion and chunking, embeddings, vector search, and grounding responses in enterprise data.
- Experience with AI evaluation and guardrails — building eval harnesses, measuring accuracy and hallucination rates, prompt engineering, and defending against prompt injection and unsafe tool invocation.
- Experience with cloud-native application development on Google Cloud Platform (Vertex AI / Gemini Enterprise Agent Platform, Agent Engine, Cloud Run, BigQuery, Pub/Sub, Secret Manager). Equivalent depth in Azure or AWS considered.
- Experience writing and optimizing SQL queries against relational databases; familiarity with relational, NoSQL, and vector database technologies.
- Experience building and supporting microservice-based architectures and APIs.
- Experience with CI/CD pipelines, DevOps practices, and automated deployment tools.
- Experience with source code management and version control systems (Git preferred).
- Understanding of security frameworks for user and service authentication and authorization, and of handling sensitive data within AI systems (data classification, model endpoint controls, retention).
- Familiarity with security operations concepts — MITRE ATT&CK, cyber threat intelligence, detection engineering, or offensive security — or demonstrated interest in developing it.
- Experience with modern debugging, monitoring, and root cause analysis techniques, including observability and cost monitoring for LLM-based applications.
- Experience creating and executing unit, functional, integration, performance, and automated tests.
- Understanding of software engineering best practices, including code reviews, testing, documentation, and agile development methodologies.
- Working knowledge of front-end technologies (HTML, CSS, JavaScript, TypeScript frameworks) sufficient to build internal tools and dashboards.
Key Responsibilities:
100% Deliver Execution & Problem Solving - Collaborate with Enterprise Technology to configure and integrate cybersecurity systems that mitigate risk; Troubleshoot and quickly resolve escalated incidents; Design, build, configure, maintain, monitor cybersecurity threat defense capabilities and user access management; Coordinate integration and collaboration with managed security providers; Investigate and recommend corrective actions related to incidents.
Direct Manager/Direct Reports:
- This Position typically reports to Manager or Sr. Manager
- This Position has 0 Direct Reports
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.
Minimum Qualifications:
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
Minimum Education:
- The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Minimum Years of Work Experience:
- 2+
Competencies:
- Action Oriented
- Collaborates
- Communicates Effectively
- Customer Focus
- Drives Results
For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:
Skills Required
- At least 18 years of age
- Legally permitted to work in the United States
- Bachelor's degree or equivalent in a related field
- At least 2 years of work experience
- 1-3 years of relevant software development or engineering experience
- Programming experience in Python and at least one object-oriented language, preferably Java
- Experience building agentic AI systems using frameworks such as LangChain, LangGraph, or Google Agent Development Kit
- Experience developing or integrating Model Context Protocol servers and clients
- Experience building retrieval-augmented generation systems
- Experience with AI evaluation, guardrails, prompt engineering, and prompt-injection defenses
- Experience with cloud-native application development, preferably on Google Cloud Platform
- Experience writing and optimizing SQL queries and familiarity with relational, NoSQL, and vector databases
- Experience building and supporting microservice architectures and APIs
- Experience with CI/CD pipelines, DevOps practices, and automated deployment tools
- Experience with source code management and version control systems, preferably Git
- Understanding of authentication, authorization, and sensitive-data handling in AI systems
- Familiarity with security operations concepts such as MITRE ATT&CK, cyber threat intelligence, detection engineering, or offensive security
- Experience with debugging, monitoring, root cause analysis, observability, and LLM application cost monitoring
- Experience creating and executing unit, functional, integration, performance, and automated tests
- Understanding of software engineering best practices, code reviews, documentation, and agile methodologies
- Working knowledge of HTML, CSS, JavaScript, and TypeScript frameworks
The Home Depot Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Home Depot and has not been reviewed or approved by The Home Depot.
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Retirement Support — A 401(k) plan with company matching supports long-term savings alongside core pay. Retirement programs are consistently positioned as a meaningful part of total compensation.
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Equity Value & Accessibility — An Employee Stock Purchase Plan enables discounted stock ownership as a core element of compensation. Equity opportunities complement wages and are accessible beyond full-time salaried roles.
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Strong & Reliable Incentives — Profit-sharing and store-performance bonuses offer additional earnings opportunities beyond base pay. Incentive programs are described as recurring and tied to store results.
The Home Depot Insights
What We Do
The Home Depot, the world’s largest home improvement specialty retailer, values and rewards dedicated, knowledgeable and experienced professionals. We operate over 2,200 retail stores in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, Guam, Canada and Mexico. All of our associates have one thing in mind — helping our customers build and improve upon their homes. Join The Home Depot team today and see for yourself why we are consistently ranked as a top Fortune 500 company.
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