Role overview

Qualifications

3+ years of software or systems engineering experience delivering internal tools or services end-to-end
Demonstrated expertise with AWS and Azure core infrastructure services
Experience with AWS and Azure cost management practices
Experience building LLM-based applications and enterprise integrations

Responsibilities

Implement and manage AI-powered tools, copilots, and workflow automations from POC to production
Design, deploy, and maintain cloud infrastructure on AWS and Azure
Own reliability, observability, and security controls across all AI and cloud services
Supervise and mentor a team of cloud and AI engineers and contractors

Key facts

Remote from: United States
Full time
Mid-level (2-5 years)
English

Hard skills

Amazon Web Services Microsoft Azure Operationalizing AI Webhooks Software As A Service (SaaS) Security Administration Mathematical Optimization Containerization Kubernetes OpenAI Gym Decision Analysis Prompt Engineering User Feedback Performance Review

Other skills

Team Leadership
Mentorship

About the company

Dragos, Inc.

Dragos has a global mission to safeguard civilization from those trying to disrupt the industrial infrastructure we depend on every day. The Dragos Platform offers the most effective industrial cybersecurity technology, giving customers visibility into their ICS/OT assets, vulnerabilities, threats, and response actions. The strength behind the Dragos Platform comes from our ability to codify Dragos's industry-leading OT threat intelligence, and insights from the Dragos services team, into the software. Our community-focused approach gives you access to the largest array of industrial organizations participating in collective defense, with the broadest visibility available.  Our solutions protect organizations across a range of industries, including electric, oil & gas, manufacturing, building automation systems, chemical, government, water, food & beverage, mining, transportation, and pharmaceutical. Dragos is privately held and headquartered in the Washington, DC area with regional presence around the world, including Canada, Australia, New Zealand, Europe, and the Middle East.

Company details

Company size501 - 1000

Links

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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 a Manager, AI and Cloud Solutions 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 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.
Own reliability, observability, 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.
Instrument solutions, 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, technical guidance, work planning, 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.

Qualifications:

3+ years of software or systems engineering experience delivering internal tools or services end-to-end (design, build, deploy, operate), including at least 1 year supervising or leading technical staff.
Demonstrated expertise with AWS and Azure core infrastructure services, including serverless and data services, with the 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 to maintain visibility and control over cloud spend.
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, with experience on enterprise AI platforms such as Microsoft Copilot, OpenAI, or Anthropic APIs.
Experience with containerization (Docker/Kubernetes) and operating in regulated or security-conscious environments.
Ability to reason carefully about tradeoffs and long-term maintainability of AI-infused systems, and communicate architecture decisions and technical tradeoffs clearly to non-technical stakeholders.

Compensation:

Salary: $165,000
Competitive Equity Package
Comprehensive Benefits Plan

#LI-JF1 #LI-REMOTE

Dragos is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, state, or local laws. All new hires must pass a background check as a condition of employment.