Cybersecurity Software Engineer II | ML & AI (Remote)

The Home Depot; Atlanta (GA); Remote; USD 110,000 - 160,000; Full time

Job summary

The Home Depot is seeking a Cybersecurity Software Engineer II to design and develop innovative AI-powered security solutions for enterprise systems, data, and applications. This role leverages cloud technologies and modern software practices to build secure, scalable tools that enhance cybersecurity capabilities across the organization.

Ideal candidates have 2+ years of software development experience, strong Python and Java skills, and familiarity with AI agent frameworks, RAG systems, and

Qualifications

• 2+ years of software development or engineering experience.
• Bachelor's degree in a related field.

Responsibilities

• Collaborate with Enterprise Technology to configure and integrate cybersecurity systems.

Skills

Python

Java

AI systems design

MCP servers/clients

RAG systems

Prompt engineering

CI/CD

Git

Security concepts

Observability

Unit/integration testing

Education

Bachelor's degree

Tools

LangChain

LangGraph

Google ADK

Vertex AI

Gemini Enterprise

Cloud Run

BigQuery

Pub/Sub

Secret Manager

Azure/AWS

SQL

NoSQL

Vector databases

APIs

Job description

Position Purpose:

The Home Depot is looking to hire a Cybersecurity Software Engineer II to help design and develop innovative AI-powered security solutions that protect enterprise systems, applications, and data. This role will leverage modern software engineering practices, cloud technologies, and emerging AI frameworks to build secure, scalable applications that enhance cybersecurity capabilities and support business objectives across the organization.

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