Senior Security DevOps Engineer, Re:Build Manufacturing

• We’re seeking a SecDevOps engineer who cares deeply about building infrastructure that is reliable, secure, and scalable
• The ideal candidate has designed and operated cloud-native production environments, has strong opinions on CI/CD pipeline design and infrastructure-as-code, and treats observability as a first-class concern
• You should already be using AI coding tools like Cursor, Copilot, or Claude to accelerate your work, with excitement about supporting the platform that finally replaces the spreadsheets and status meetings that hardware teams have been stuck with for decades
• 5+ years of experience in SecDevOps, SRE, or platform engineering roles
• Demonstrated proficiency using AI coding tools (Cursor, Copilot, Claude, etc.) to accelerate development
• Expert-level experience with at least one major cloud provider (GCP preferred; AWS or Azure also accepted)
• Strong proficiency with Terraform
• Deep experience with Docker
• Proven track record designing and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, or similar)
• Solid understanding of networking fundamentals, DNS, load balancing, and CDN configuration
• Proficiency in Python for automation and tooling
• Ability to balance rapid iteration with reliable, well-documented infrastructure

Desirable

• If you've worked alongside hardware teams, you know the damage that results from a missed change request or critical context that was never relayed to the right person. Reflow exists to close that gap
• We're building the first AI-powered platform purpose-built for hardware product development, one that listens across the tools teams already use, maintains a structured picture of every program, and proactively coordinates across disciplines when things inevitably change
• This is a ground-floor opportunity for a hands-on SecDevOps engineer to define the infrastructure, delivery pipelines, and operational foundation of a high-potential product with the support of a parent company leading innovation in engineering and manufacturing
• This senior engineer will work alongside our engineering team and head of product to build and maintain the infrastructure that powers our platform—including deployment pipelines, cloud environments, monitoring systems, and the operational tooling that keeps AI agents and real-time data flows running reliably at scale
• The role is hands-on - you will be writing code and configuration daily while contributing to infrastructure architecture decisions and helping establish operational best practices as we scale
• Designing, building, and maintaining cloud infrastructure on GCP, AWS and third-party providers using Terraform
• Building and optimizing CI/CD pipelines for rapid, reliable deployments across multiple services and environments
• Implementing comprehensive observability—monitoring, logging, alerting, and distributed tracing—to ensure platform health and fast incident response
• Establishing and enforcing security best practices including secrets management, network policies, vulnerability scanning, and compliance automation
• Supporting AI/ML infrastructure including model serving and the data pipelines that power our ambient AI agents
• Building developer experience tooling—local development environments, preview deployments, and self-service infrastructure provisioning
• Collaborating with backend and frontend engineers to ensure seamless integration between application code and infrastructure