Senior SecDevOps Engineer: AI-Driven Cloud Infra

Rebuildmanufacturing; Boston (MA); On-site; USD 165,000 - 200,000; Full time

Benefits offered by this job

Health/dental/vision

Bonus program

401K

Paid time off

Learning stipend

Equity & Growth LTIP

Job summary

Re:Build Manufacturing is seeking a SecDevOps engineer to design and run our cloud infrastructure and CI/CD pipelines for a hardware-intense AI platform. You will build scalable, secure systems, implement observability, and enable rapid iteration while maintaining reliability.

You will collaborate with backend and frontend teams, work with AI tooling, and help shape the deployment foundations for our next-generation hardware development platform.

Qualifications

• 5+ years in SecDevOps, SRE, or platform engineering.
• Experience designing cloud-native production environments.
• Proficiency with AI coding tools (Cursor, Copilot, Claude).
• Expert in at least one major cloud provider (GCP/AWS/Azure).
• Strong Terraform and Docker experience.
• Proven CI/CD pipeline design (GitHub Actions or GitLab CI).
• Solid networking, DNS, load balancing, CDN knowledge.
• Python automation and tooling skills.
• Ability to balance rapid iteration with reliable infrastructure.

Responsibilities

• Design, build, and maintain cloud infrastructure on multiple providers.
• Develop and optimize CI/CD pipelines across services.
• Implement observability with monitoring, logging, tracing.
• Enforce security, secrets management, and compliance.
• Support AI/ML infra including model serving and data pipelines.
• Create developer tooling and self-service infrastructure.
• Collaborate with backend/frontend teams for seamless integration.

Skills

SecDevOps

AI coding tools

Cloud providers

Terraform

Docker

CI/CD pipelines

Networking

Python

Observability

Tools

GitHub Actions

GitLab CI

Datadog

Grafana

Prometheus

OpenTelemetry

Job description

Re:Build Manufacturing is seeking a SecDevOps engineer to design and run our cloud infrastructure and CI/CD pipelines for a hardware-intense AI platform. You will build scalable, secure systems, implement observability, and enable rapid iteration while maintaining reliability.

You will collaborate with backend and frontend teams, work with AI tooling, and help shape the deployment foundations for our next-generation hardware development platform.