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Cybersecurity Software Engineer II | ML & AI (Remote)
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
