DevSecOps Platform Engineer

Equinix

Dallas (TX)

On-site

USD 120,000 - 170,000

Full time

25 hours ago
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Job summary

Equinix is seeking a DevSecOps Platform Engineer to help build, support, and improve our cloud-native platform engineering and security automation capabilities. This role will contribute to CI/CD pipeline development, platform automation, security integrations, and emerging AI-powered operational workflows that improve developer productivity and platform reliability.

Working closely with platform, security, and software engineering teams, you will help implement solutions that enhance the

Responsibilities

  • CI/CD & Platform Engineering: Contribute to the development, maintenance, and enhancement of secure CI/CD pipelines using GitHub Actions and related tooling
  • DevSecOps & Security Automation: Implement and maintain security scanning tools including SAST, DAST, and SCA within CI/CD workflows
  • AI-Enabled Engineering Automation: Assist in developing AI-assisted workflows that improve operational efficiency and developer productivity
  • Cloud Infrastructure & Operations: Support cloud infrastructure running within AWS, Azure, or GCP environments

Job description

Who are we? Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective.

Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary

Equinix is seeking a DevSecOps Platform Engineer to help build, support, and improve our cloud-native platform engineering and security automation capabilities. This role will contribute to CI/CD pipeline development, platform automation, security integrations, and emerging AI-powered operational workflows that improve developer productivity and platform reliability.

Working closely with platform, security, and software engineering teams, you will help implement solutions that enhance the software delivery lifecycle while supporting secure and scalable infrastructure.

This role is ideal for an engineer who enjoys automation, cloud technologies, modern DevSecOps practices, and exploring practical applications of AI within engineering operations.

Responsibilities
CI/CD & Platform Engineering
  • Contribute to the development, maintenance, and enhancement of secure CI/CD pipelines using GitHub Actions and related tooling
  • Develop and maintain automation that improves deployment consistency, operational efficiency, and developer experience
  • Assist with implementation and support of cloud-native applications and platform services
  • Support containerized application deployments within Kubernetes environments
  • Troubleshoot pipeline, deployment, and runtime issues in partnership with engineering teams
DevSecOps & Security Automation
  • Implement and maintain security scanning tools including SAST, DAST, and SCA within CI/CD workflows
  • Assist with integrating security controls throughout the software development lifecycle
  • Support secure management of secrets, credentials, and identity access controls
  • Contribute to policy-as-code initiatives and automated compliance controls
  • Partner with Security teams to implement practical security guardrails that align with engineering workflows
AI-Enabled Engineering Automation
  • Assist in developing AI-assisted workflows that improve operational efficiency and developer productivity
  • Contribute to retrieval-based solutions that provide access to engineering documentation, runbooks, and operational knowledge
  • Support implementation of agent-based automation using modern AI frameworks
  • Apply established security, governance, and monitoring controls when integrating AI capabilities into engineering workflows
  • Participate in evaluating AI solutions for effectiveness, reliability, and operational value
Cloud Infrastructure & Operations
  • Support cloud infrastructure running within AWS, Azure, or GCP environments
  • Assist with infrastructure automation and configuration management activities
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