AI Security Engineer

A Little Bit About Us
Bespin Global is a top global cloud MSP recognized in the Gartner Magic Quadrant for 8 consecutive years. We've been named the AWS MSP Partner of the Year globally and have earned multiple Google Partner of the Year awards

We have 1,400+ "Bespineers" across 16 offices in 10 countries—including the U.S., South Korea, Singapore, Dubai, Indonesia, China, and Japan—supporting over 4,500 customers worldwide.

We're growing fast, and if you want to help enterprise clients solve complex challenges using the power of the cloud, this is the place for you.

We're looking for a mid to senior-level Security Engineer with exposure to multiple security solution domains and significant experience in at least one discipline of cloud, endpoint, identity, or network security.

The role is part of our high-profile U.S. security services team, where you'll serve as a key contributor, with the opportunity to help shape service development and delivery, working globally with Bespin engineers and our cloud partners.

You should have a solid track record of full-stack automation and security tool development, using Python–preferably leveraging generative AI and workflow automation.

You must be comfortable operating in the public cloud and have previous hands on SecOps or DevOps experience, so that you can understand and anticipate customer pain points

This is primarily a US-Remote role but candidates should be located in the continental US and timezones, with the ability to travel when needed.

About The Role
As an AI Security Engineer, you will:

• Create tools that automate the analysis and detection of security events using tooling inside/outside of SOAR/SIEM/CNAPP/EDR platforms.
• Configure product and service integrations and onboard new data sources for AI security products and services
• Monitor security events and respond to security incidents in client environments working with other Bespin and partner engineers.
• Research and implement new product and services capabilities
• Programatically automate frequently encountered SOC workflows
• Assist with customer onboarding into our managed security platform.

Must-Have
What We're Looking For:

• A minimum of 5 years of experience as a Security, Software, or Cloud Engineer with hands-on operational experience in at least one major cloud provider.
• Solid development skills in at least one programming language (Python preferred) for security automation and integration.
• Experience using AI to accelerate software development (Claude Code, Gemini, Codex, etc.) and AI-assisted IDEs such as Cursor, Zed, Windsurf, or comparable Visual Studio Code plugins.
• Solid generative AI literacy with a desire to keep learning new tools, frameworks, models, APIs, and SDKs as capabilities evolve and mature.
• Operational experience in troubleshooting log ingestion and evaluating data sources for actionable events and IOCs across multiple layers of the application, infrastructure, identity, and network stack.
• Fluency with collaborative development practices (branching, tagging, code review) using GitHub, GitLab, or Azure DevOps.
• Excellent communication skills and the independence necessary to work asynchronously in a startup environment with members working across multiple U.S. and international time zones
• Authorized to work in the United States.

Nice-to-Have

• Experience with multiple SOC/SIEM/SOAR tools and security platforms (e.g., Splunk, Chronicle, SentinelOne, Elastic Security/Kibana, SumoLogic, or CrowdStrike) working in an internal SOC or MDR provider.
• Practical hands-on experience with 3rd party Cloud Security SaaS Tools (Wiz, Orca, CrowdStrike, LaceWork, Prisma Cloud, Tenable, etc.) and/or native provider tools such as KMS, Guard Duty, IAM, Google Security Command Center, etc.
• Experience with one or more agent frameworks (Crew AI, Pydantic AI, Agno, Google ADK, etc.) with a focus on security automation use cases.
• Experience with a workflow engine such as n8n, Tines, and Temporal.
• Strong data engineering skills and experience building and running high-volume event ingestion pipelines
• Experience with Terraform or other IaC tools as a means for implementing and enforcing cloud security best practices.
• Experience securing generative AI applications and implementing LLM security best practices.
• Google Cloud certification (e.g., Professional Cloud Security Engineer) or equivalent experience, with AWS or Azure security certifications. Additional security certifications (Security+, GCIH, CEH, CISSP).
• Previous customer-facing experience in consulting or managed services..

*Ready to shape the future of cloud and data for some of the most exciting companies in the world? *
Apply today and bring your expertise to Bespin Global.