DevSecOps Platform Engineer - Equinix

OpenTalent; Dallas (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Equinix in Dallas, TX is seeking a DevSecOps Platform Engineer to help build, support, and improve our cloud-native platform engineering and security automation capabilities. This role focuses on CI/CD pipelines, platform automation, and secure engineering practices to enhance developer productivity and platform reliability.

You will collaborate with platform, security, and software teams to implement scalable solutions, automate security controls, and explore AI-enabled workflows that integrate

Qualifications

• Experience building secure CI/CD pipelines and automation.
• Familiarity with cloud platforms (AWS/Azure/GCP).
• Experience with container orchestration (Kubernetes).
• Knowledge of security automation and developer tools.

Responsibilities

• Develop and maintain secure CI/CD pipelines using GitHub Actions.
• Develop and maintain automation that improves deployment consistency and developer experience.
• Assist with cloud-native applications and platform services deployment and support.
• Support containerized deployments within Kubernetes environments.
• Troubleshoot pipeline, deployment, and runtime issues with engineering teams.
• Implement and maintain security scanning tools (SAST/DAST/SCA) within CI/CD workflows.
• Integrate security controls throughout the SDLC.
• Assist with secrets management and identity access controls.
• Contribute to policy-as-code and automated compliance controls.
• Partner with Security teams to align guardrails with workflows.
• Develop AI-assisted workflows to improve efficiency and productivity.
• Contribute to retrieval-based solutions for docs and runbooks.

Skills

CI/CD

Automation

Cloud platforms

Tools

GitHub Actions

Kubernetes

SAST

DAST

SCA

Secrets management

Policy as code

AI tooling

Job description

DevSecOps Platform Engineer

• JR-162957
• Hybrid
• Dallas
• Technology
• Full time

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.

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