Cybersecurity Software Engineer II | ML & AI (Remote)
At a glance
Mid-level Security Operations & Analysis role at Homedepot. Remote, United States · full-time · $90,000–$140,000 base.
remoteroles summary, based on the employer's posting.
What you'll do
- Build and maintain cybersecurity defenses and user-access controls, keeping them monitored and configured to reduce risk
- Connect cybersecurity systems with Enterprise Technology and managed security providers
- Investigate escalated incidents, resolve them quickly, and recommend corrective steps
- Use AI, cloud, and software engineering practices to develop security solutions for enterprise systems and data
What you bring
- At least two years of relevant work experience and a bachelor's degree in a related field or equivalent education
- You can program in Python and an object-oriented language, with Java preferred
- You have experience building AI agents, RAG systems, and AI safeguards, including evaluations and prompt-injection defenses
- You bring cloud application experience on Google Cloud, Azure, or AWS, plus SQL and API or microservice development
- You are legally authorized to work in the United States and meet the stated minimum age requirement
Who this fits
This mid-level role suits a software engineer who can apply AI and cloud development to cybersecurity work. You report to a manager or senior manager and have no direct reports. The role is remote in the United States, with overnight travel typically below ten percent.
From the employer
With a career at The Home Depot, you can be yourself and also be part of something bigger.
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
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