Dragos

ICS/OT Cybersecurity

AIandCloudSolutionsSupervisor

$165k+ Boca Raton, Florida, United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“AI and Cloud Solutions Supervisor at Dragos. Skills: AI and Cloud Solutions, enterprise cloud infrastructure management, internal AI delivery, AWS, Azure, LLM-based applications. Implement and manage AI-powered tools, copilots, and workflow automations from POC to production. owning the full technical lifecycle including integrations with enterprise systems via APIs, webhooks, MCP servers, and core SaaS tooling”

What You'll Achieve.

turn prioritized business problems into reliable, secure, and scalable production services; making them production-ready; maintain visibility and control over cloud spend; drive continuous improvement; iterate based on real-world usage and business outcomes

Industry & Context.

ICS/OT Cybersecurity
Problems you'll solve

turn prioritized business problems into reliable, secure, and scalable production services; debugging complex multi-service environments; reason carefully about tradeoffs and long-term maintainability of AI-infused systems

Eligibility Requirements

All new hires must pass a background check as a condition of employment.

What They're Looking For.

Must Have

3+ years of software or systems engineering experience delivering internal tools or services end-to-end (design, build, deploy, operate), at least 1 year supervising or leading technical staff, Demonstrated expertise with AWS and Azure core infrastructure services, including serverless and data services, ability to architect and operate production workloads and select the right service for a given use case, Experience with AWS and Azure cost management practices, including Cost Explorer, Budgets, and tagging strategies, Experience building LLM-based applications and enterprise integrations, including APIs, MCPs, automation frameworks, and workflow orchestration, Working knowledge of practical AI implementation patterns including embeddings, retrieval, prompt engineering, evaluation, and safe rollout practices, experience on enterprise AI platforms such as Microsoft Copilot, OpenAI, or Anthropic APIs, Experience with containerization (Docker/Kubernetes), operating in regulated or security-conscious environments, Ability to reason carefully about tradeoffs and long-term maintainability of AI-infused systems, communicate architecture decisions and technical tradeoffs clearly to non-technical stakeholders

What You'll Do.

Implement and manage AI-powered tools

and workflow automations from POC to production

owning the full technical lifecycle including integrations with enterprise systems via APIs

and core SaaS tooling

and maintain cloud infrastructure on AWS and Azure

multi-account strategies

and cost optimization through Savings Plans and resource right-sizing

Prioritize capabilities already available in the existing tech stack and design targeted

scalable services only when genuine gaps exist

and security controls across all AI and cloud services

including incident response

debugging complex multi-service environments

and driving continuous improvement in partnership with the Security team

collect adoption metrics and user feedback

and iterate based on real-world usage and business outcomes

Supervise and mentor a team of cloud and AI engineers and contractors through 1: 1s

sprint prioritization

and professional development

Set clear expectations

provide ongoing feedback

conduct performance reviews

and contribute to hiring decisions for the cloud and AI engineering team

How You'll Work.

Team & Collaboration

building and guiding a small team of cloud and AI engineers; Supervise and mentor a team of cloud and AI engineers and contractors; driving continuous improvement in partnership with the Security team

Communication Scope

communicate architecture decisions and technical tradeoffs clearly to non-technical stakeholders

Process & Methodology

work planning, sprint prioritization

Full Job Description

Dragos is on a relentless mission to defend industrial organizations that provide us with the necessities of modern civilization; running water, functioning electricity, and safe industrial working environments. As the market leader in ICS/OT Cybersecurity, we are dedicated to arming our customers with best-in-class technology, threat intelligence, and services to protect their systems as effectively and efficiently as possible. We’re a remote-first culture with operations in North America, Europe, the Middle East, and APAC. We’re looking for mission-oriented teammates who embody our core values of authenticity, transparency, and trust. Are you ready to make a difference? Come join a mission that can save the world! About the Role: Dragos is looking for a hands-on technical leader to own two of our complimentary workstreams: enterprise cloud infrastructure management and internal AI delivery. As an AI and Cloud Solutions Supervisor on our IT team, you'll take prioritized business problems and turn them into reliable, secure, and scalable production services — while building and guiding a small team of cloud and AI engineers. Your scope spans cloud operations across AWS and Azure (architecture, security, cost, and reliability) and AI enablement (deploying AI-powered applications, integrating copilots and agents into enterprise systems, and making them production-ready). This is a hands-on builder and team leadership role for someone who thrives on turning real business problems into durable, scalable technology while also growing and guiding a small team of cloud and AI engineers. Responsibilities: Implement and manage AI-powered tools, copilots, and workflow automations from POC to production, owning the full technical lifecycle including integrations with enterprise systems via APIs, webhooks, MCP servers, and core SaaS tooling. Design, deploy, and maintain cloud infrastructure on AWS and Azure, including IAM, VPCs, security groups, multi-account strategies, and co

Free ATS check

Applying for this AI and Cloud Solutions Supervisor role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Greenhouse

  • Create a Greenhouse profile before applying — it saves time across multiple applications.
  • Upload your resume as a PDF; the parser handles it better than Word.
  • Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
  • Enable email notifications to track application status in real time.

ANONYMOUS · UNFILTERED

What do employees actually say about Dragos?

Real rants from real employees. Read before you apply.

Read Company Rants →