Senior SecDevOps Engineer

About the role

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.

Responsibilities

• 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

Requirements

• 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
• Must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum (export control requirement)

Qualifications

• Experience supporting AI/ML workloads in production (model serving, GPU scheduling, streaming inference)
• Familiarity with database operations and optimization (PostgreSQL, Redis, or similar)
• Background in observability platforms (Datadog, Grafana, Prometheus, OpenTelemetry)
• Understanding of authentication/authorization infrastructure (OIDC, OAuth2, JWT, SSO)
• Experience with cost optimization and FinOps practices in cloud environments
• Background in B2B SaaS platforms, particularly multi-tenant architectures
• Familiarity with SOC 2, FedRAMP, or ITAR compliance