Senior DevOps Engineer

About the role

About Dropzone AI

Dropzone’s mission is to scale cybersecurity beyond human limits, and augment every single human security engineer/analyst with an army of AI security specialists. Humans alone cannot sufficiently protect our digital future, and AI augmentation is the only way for defenders to reclaim the high ground. We are an award winning company disrupting the $200B+ cybersecurity market.

Powered by Gen AI advancements, our technology offloads repetitive day-to-day work and frees human analysts to focus on real threats and higher-value projects. We are venture-backed, and our team has a rare blend of deep experience across cybersecurity, AI/ML, and SaaS product development. Join us if you want to be on the ground floor of using Gen AI to transform cyber defense. Learn more at www.dropzone.ai.

About the role

As a Senior DevOps Engineer at Dropzone AI, you’ll own and evolve the infrastructure that powers our AI platform. You’ll work closely with teammates throughout engineering and security to design scalable, resilient, and secure systems - from CI/CD to runtime environments - while enabling fast, safe iteration from development through production.

What you'll do

- Enhance production monitoring and observability in containerized environments

- Improve our infrastructure-as-code deployments (Pulumi) to prepare for scaling to the next customer growth inflection point.

- Develop and refine internal tooling to support efficiency and reliability. Strengthen the reliability, performance, and scalability of our core SOC analyst product, which automates human investigation techniques to analyze security alerts

- Participate actively in a 24x7 on-call rotation, maintaining high availability and rapid response

- Contribute to future expansion efforts to support multi-cloud infrastructure (GCP, Azure)

- Write new product features when interested and excited to do so

Requirements

- 4+ years of experience as a DevOps, Infrastructure, or Site Reliability Engineer with practical, hands-on depth

- Skills in observability and monitoring (e.g. Prometheus, Grafana), distributed tracing

- Strong experience with containerization technologies, especially Docker and Kubernetes (k8s)

- Software development skills with Python, capable of writing production-level code

- Solid understanding of distributed systems, including troubleshooting, identifying bottlenecks, and performance optimization

- Infrastructure-as-code experience (Pulumi preferred), maintaining fully automated CI/CD deployment pipelines

- System administration and infrastructure management capabilities

- Familiarity with modern security best practices, common vulnerabilities, and securing distributed environments

- Ability to differentiate when a production-grade service is necessary versus implementing a one-time or temporary solution