Cybersecurity Software Engineer II | ML & AI (Remote)

Summary

The Home Depot is seeking a Cybersecurity Software Engineer II to design and develop AI-powered security solutions that protect enterprise systems, applications, and data. The role focuses on building secure cloud-native applications, integrating AI frameworks and cybersecurity systems, troubleshooting incidents, and maintaining threat defense and user access management capabilities.

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

Skills

• • 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
• • Typically requires overnight travel less than 10% of the time
• • 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
• • Must be eighteen years of age or older
• • Must be legally permitted to work in the United States
• • 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
• • 2+
• • Action Oriented
• • Collaborates
• • Communicates Effectively
• • Customer Focus
• • Drives Results

Qualifications

Must Haves

• • 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
• • Typically requires overnight travel less than 10% of the time
• • 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
• • Must be eighteen years of age or older
• • Must be legally permitted to work in the United States
• • 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
• • 2+
• • Action Oriented
• • Collaborates
• • Communicates Effectively
• • Customer Focus
• • Drives Results