Senior SecDevOps Engineer

rebuildmanufacturing

United States

On-site

USD 150,000 - 210,000

Full time

3 days ago
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Job summary

Re:Build is seeking a SecDevOps engineer who cares about reliable, secure, and scalable infrastructure. You will design and operate cloud environments, implement CI/CD pipelines, and ensure observability across services. You will work closely with the engineering team and product leads to scale our AI-enabled hardware platform.

The role emphasizes hands-on coding, infrastructure decisions, and best practices in security and automation as we grow in a fast-paced environment.

Qualifications

  • 5+ years in SecDevOps, SRE, or platform engineering roles.
  • Proficiency with AI coding tools (Cursor, Copilot, Claude).
  • Expert-level cloud experience (GCP preferred; AWS/Azure accepted).
  • Strong Terraform and Docker skills; proven CI/CD pipeline design.

Responsibilities

  • Design, build, and maintain cloud infrastructure on GCP, AWS and third-party providers with Terraform.
  • Build and optimize CI/CD pipelines for rapid, reliable deployments across services.
  • Implement observability: monitoring, logging, alerting, tracing for platform health.

Skills

SecDevOps
AI tooling proficiency
Terraform
Docker
CI/CD pipelines
Networking fundamentals
Python automation
Cloud platforms

Tools

Terraform
Docker
GitHub Actions
GitLab CI

Job description

About Re:Build

At Re:Build, our mission is to ensure the next generation of important products are made, at scale, in America. We are laying the foundation for a better future for our customers, employees, and communities by revitalizing America's manufacturing base and creating meaningful jobs across the country, including in historically deindustrialized regions.

We operate an advanced, end-to-end manufacturing platform that partners with industrial companies and innovators to take products from first concept to full-scale production in critical verticals including aerospace and defense, electrification, medical, energy and environment, and robotics and automation.

The way we operate is as important as the work we do. It's guided by The Re:Build Way, 16 principles that shape how we collaborate with each other, partner with our customers and vendors, and contribute to the communities where we operate. (link to The Re:Build Way principles )

The Opportunity

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.

Who We're Looking For

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.

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.

What You'll Do

Your day-to-day responsibilities will include:

  • 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
Technical Requirements

Must Have:

  • 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

Highly Valuable:

  • 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

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