Senior SecDevOps Engineer: AI-Driven Infra & Pipelines

Socket.dev; Boston (MA); On-site; USD 165,000 - 200,000; Full time

Job summary

Re:Build is seeking a hands-on SecDevOps engineer to define the infrastructure and pipelines for an AI-powered hardware platform. You will build cloud environments, ensure security and observability, and enable rapid deployments across services.

You will work with the engineering team to scale infrastructure and tooling, integrating AI agents and data flows while maintaining reliability and security at scale.

Qualifications

• 5+ years of SecDevOps, SRE, or platform engineering experience.

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

Skills

SecDevOps

SRE

Platform engineering

AI coding tools usage

Python automation

Tools

Terraform

Docker

GitHub Actions

GitLab CI

Datadog

Grafana

Prometheus

Job description

Re:Build is seeking a hands-on SecDevOps engineer to define the infrastructure and pipelines for an AI-powered hardware platform. You will build cloud environments, ensure security and observability, and enable rapid deployments across services.

You will work with the engineering team to scale infrastructure and tooling, integrating AI agents and data flows while maintaining reliability and security at scale.