Automation Engineer – AI & Security Workflows Seattle, WA (on site)

Red Oak Technologies Inc.; Seattle (WA); On-site; USD 120,000 - 190,000; Full time

Job summary

Red Oak Technologies Inc. in Seattle is seeking an Automation Engineer to transform manual security risk tracking into automated workflows using AI, tooling, and integration with internal systems.

You will design and implement automation for security operations, validate AI-generated outputs, and develop scripts in Swift, Perl, and SQL to connect data sources and APIs. Candidates should have 3–4 years of experience in automation or security engineering, hands-on AI experience, and the ability to

Qualifications

• 3–4 years of relevant experience in automation, security operations, engineering, software development, or related technical role.
• Ability to turn manual processes into repeatable automation.
• Hands-on experience applying AI/LLM tools to technical workflows, including prompt development and output validation.

Responsibilities

• Analyze manual security workflows and develop automation that reduces repetitive tracking, coordination, and reporting tasks.
• Use LLMs and AI tools to translate process requirements into functional automation, including prompts development and refinement.
• Review, troubleshoot, and validate AI-generated code and outputs for accuracy, security, and reliability.
• Write and maintain scripts using Swift, Perl, and SQL, as appropriate to the environment.
• Integrate tools and data sources through APIs and establish or configure Model Context Protocol (MCP) servers.

Skills

Automation

Security operations

AI/LLM tools

Prompt development

Swift scripting

Tools

Swift

Perl

SQL

Job description

Automation Engineer – AI & Security Workflows

Position Overview

A large enterprise organization is seeking an Automation Engineer to support its Information Security core engineering team. This role focuses on transforming manual security risk tracking and remediation processes into reliable workflows using automation, internal tooling, and AI.

Key Responsibilities

• Analyze manual security workflows and develop automation that reduces repetitive tracking, coordination, and reporting tasks.
• Use LLMs and AI tools to translate process requirements into functional automation, including developing and refining prompts.
• Review, troubleshoot, and validate AI-generated code and outputs for accuracy, security, and reliability.
• Write and maintain scripts using Swift, Perl, and SQL, as appropriate to the environment.
• Integrate tools and data sources through APIs and establish or configure Model Context Protocol (MCP) servers.

Required Qualifications

• Approximately 3–4 years of relevant experience in automation, technical security operations, engineering, software development, or a related technical role.
• Demonstrated ability to turn manual, analyst-driven processes into repeatable automation.
• Hands‑on experience applying AI or LLM tools to technical workflows, including prompt development and output validation.
• Working coding and scripting skills, with the ability to read, modify, debug, and validate code independently.
• Experience with Swift, Perl scripting, and SQL, or transferable scripting experience with the ability to learn the required tools.