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Security Automation Jobs in Minnesota (NOW HIRING)

Hunting with Jupyter notebooks, Python, automation and APIs. * Expertise hunting with security logging, monitoring, and event management tools. * Expertise in log analysis, packet analysis.

Hunting with Jupyter notebooks, Python, automation and APIs. * Expertise hunting with security logging, monitoring, and event management tools. * Expertise in log analysis, packet analysis.

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Security & Compliance Focus: hands-on experience implementing security, compliance, and responsible ...

AI & Automation Engineer

Minneapolis, MN · On-site

$90K - $120K/yr

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Security & Compliance Focus: hands-on experience implementing security, compliance, and responsible ...

Showing results 21-40

Security Automation information

What is a security automation?

A Security Automation job involves designing, implementing, and maintaining automated security processes to enhance an organization's cybersecurity posture. Professionals in this role use scripts, tools, and frameworks to detect, respond to, and mitigate security threats efficiently. They work with security teams to create automated workflows for threat analysis, incident response, and compliance enforcement. This role requires knowledge of cybersecurity principles, programming, and automation tools like SIEM, SOAR, and scripting languages.

What are the typical daily responsibilities of someone working in security automation?

Professionals in Security Automation typically spend their days developing, testing, and maintaining scripts or workflows that automate security-related tasks, such as monitoring for vulnerabilities, responding to incidents, and managing access controls. They work closely with cybersecurity analysts, IT teams, and sometimes developers to identify repetitive manual tasks that can be streamlined through automation. A portion of the role often involves researching emerging threats and updating automated tools to better detect and respond to them. This position offers a dynamic work environment where you'll frequently tackle problem-solving and process improvement, all while helping to strengthen the organization’s overall security posture.

What are the key skills and qualifications needed to thrive in the security automation position, and why are they important?

To thrive in Security Automation, you need solid experience in cybersecurity principles, scripting languages (such as Python or PowerShell), and automation frameworks, often supported by a degree in computer science or an industry certification like CISSP or SSCP. Familiarity with security information and event management (SIEM) tools, orchestration platforms, and automated testing suites is commonly required. Attention to detail, strong analytical thinking, and effective communication skills help professionals solve complex security challenges and collaborate across IT and security teams. These skills are crucial for identifying, responding to, and automating mitigation of cyber threats efficiently and reliably.

What are popular job titles related to Security Automation jobs in Minnesota?

For Security Automation jobs in Minnesota, the most frequently searched job titles are:

Infographic showing various Security Automation job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Full-time

Re-posted 7 days ago


Job description

Job Summary:
D.A. Davidson Companies is an independent, employee-owned company with a rich history spanning 90 years. We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment, focusing on building intelligent assistants and automated workflows.
Responsibilities:
• Design and Develop AI-Powered Workflows: Use Microsoft Copilot Studio and Power Platform (Power Automate, Power Apps) to design, build, and optimize AI assistants and automated workflows that enhance employee productivity and decision-making.
• Integrate Enterprise Data and Systems: Connect AI copilots to enterprise data sources and APIs, enabling context-rich automation (e.g. integrating Azure AI services or databases with Copilot agents for real-time information retrieval).
• Apply AI Best Practices: Implement prompt engineering techniques and fine-tune AI models or prompts to improve the relevance and accuracy of Copilot responses. Utilize Azure OpenAI or similar services to incorporate advanced language AI capabilities when needed.
• Ensure Compliance and Security: Build solutions with robust security, privacy, and compliance controls in mind, aligning with corporate policies and industry regulations (financial data protection, responsible AI use, audit logging). Work closely with governance teams to enforce security standards for AI integrations.
• DevOps and Monitoring: Develop CI/CD pipelines for deploying and updating AI agents or automation workflows, ensuring smooth rollouts and version control. Set up monitoring and telemetry dashboards to track performance, usage, and quickly address any issues.
• Collaboration and Iteration: Work in an Agile team alongside product managers, business analysts, and designers to refine requirements and user stories. Iterate on solutions based on user feedback and analytics, continuously improving the AI assistants’ effectiveness.
• Documentation and Training: Document solution designs, workflows, and configurations. Help create user guides or demo sessions to drive adoption of the new AI-powered tools among employees and stakeholders.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• 5+ years of experience in software development, automation engineering, or similar roles.
• Hands-on experience with Microsoft Power Automate and related Power Platform tools for workflow automation.
• Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services).
• Proficiency in at least one programming or scripting language (such as Python, C#, or JavaScript) to extend and customize solutions.
• Experience building or consuming RESTful APIs and working with data integration.
• Working knowledge of Azure cloud services and AI/ML frameworks.
• Ability to deploy applications or automations in a cloud environment and integrate AI APIs (Azure OpenAI, Azure Cognitive Services, etc.).
• Experience with version control (git and Bitbucket) and continuous integration/continuous deployment (CI/CD) pipelines for software projects.
• Comfortable using tools like Azure DevOps or GitHub Actions to automate build-test-deploy processes.
• Strong analytical and problem-solving skills with a track record of delivering solutions that meet business needs.
• Excellent communication skills to work effectively with both technical and non-technical team members.
• Align efforts with other lines-of-business and functional areas, such as our partners in Operations, Finance, Wealth Management, and more.
• Commitment to maintain client confidentiality and data security.
• Communicate in a clear and service-oriented manner; use appropriate, professional language and grammar to effectively exchange ideas and information.
• Ability to proactively work with both external and internal clients; relate with others in a professional manner to accomplish work responsibilities and objectives.
• Ability to maintain regular, predictable attendance.
Preferred:
• Experience with Microsoft 365 Copilot Studio – for example, having built or managed AI copilots/agents in a production setting.
• Knowledge of designing conversation flows, topics, tools, and using Copilot’s advanced features (custom actions, agent-to-agent workflows).
• Familiarity with large language models beyond basic API usage – e.g., experience with prompt tuning, deploying LLMs, or implementing retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&A.
• Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more.
• Background in financial services or wealth management technology projects.
• Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management) and how to design AI solutions that comply with them.
• Hands-on experience implementing security, compliance, and responsible AI practices in software.
• Familiarity with Microsoft’s Responsible AI guidelines, Azure Purview for data governance, or similar tools to control AI use.
• Demonstrated initiative in previous roles – maybe you introduced a new automation tool, led a pilot of an AI solution, or actively contributed to AI/automation communities.
• Microsoft certifications in Azure AI, Power Platform, or related areas would be an advantage, reflecting your commitment to staying current.
• Lots of experience working in highly-iterative development processes.
• Prepared to deal with the boring and the tough.
Company:
D.A. Founded in 2002, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.