DevSecOps Platform Engineer, AI Automation

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.

• Contribute to the build, maintenance, and improvement of secure CI/CD pipelines (e.g., Git Hub Actions) and reusable workflow templates.
• Develop and maintain platform automation that improves developer experience, reliability, and deployment consistency.
• Write and maintain Infrastructure as Code (Terraform, Bicep, and/or Cloud Formation) for repeatable, consistent environments.
• Support cloud-native applications using containers and Kubernetes, including troubleshooting deployments and runtime issues.

• Integrate and maintain SAST, DAST, and SCA scanning tools in CI/CD pipelines with actionable reporting and automated gating.
• Implement best practices for IAM and secrets management to minimize credential exposure and enforce least privilege.
• Contribute to policy-as-code controls aligned to governance requirements.
• Partner with Security and engineering teams to align guardrails with practical delivery workflows.

• Implement and maintain LLM-enabled capabilities in pipelines and platforms using production-grade LLM services (e.g., GPT, Azure OpenAI, Claude, Llama).
• Contribute to RAG pipelines for retrieving runbooks, standards, and historical incident or pipeline context.
• Build and support agent-based workflows (Lang Chain, Lang Graph, CrewAI, or Auto Gen) to assist with diagnostics and remediation.
• Apply LLM risk controls including access boundaries, prompt injection mitigations, and auditability patterns.

• Support platform observability and incident response with AI-driven insights and automation.
• Participate in tuning and evaluating AI solutions for accuracy, safety, reliability, and cost.
• Document standards, patterns, and runbooks to support team knowledge sharing and engineer onboarding.

Time Focus Area

35% Building and enhancing CI/CD pipelines and platform automation

20% Security engineering (scanning tools, policies, compliance)

20% Implementing AI/LLM capabilities (agents, RAG, workflow automation)

15% Cloud infrastructure and Kubernetes support

10% Collaboration (design discussions, reviews, team support)

• 5+ years of experience in Dev Sec Ops , Platform Engineering, software development, or a closely related engineering role.
• Practical experience contributing to CI/CD pipeline engineering (e.g., Git Hub Actions, Jenkins, or similar).
• Solid programming skills in Python, Go, or Java.
• Working knowledge of at least one major cloud platform (AWS, Azure, or GCP).
• Familiarity with microservices and distributed systems concepts.
• Hands-on experience with Infrastructure as Code tools (Terraform, Bicep, or Cloud Formation).
• Working knowledge of containers and Kubernetes (deployment, troubleshooting, basic operations).

• Understanding of Secure SDLC and Dev Sec Ops  practices.
• Experience integrating or working with SAST, DAST, and SCA tools in delivery pipelines.
• Familiarity with secrets management and IAM concepts and implementation.
• Exposure to shift-left security practices, guardrails, and policy-as-code.

• Exposure to or experimentation with LLMs in engineering contexts (e.g., GPT, Azure OpenAI, Claude, Llama).
• Basic understanding of RAG pipelines and how they are applied in practice.
• Awareness of agent-based workflow frameworks (e.g., Lang Chain, Lang Graph, CrewAI, Auto Gen).
• Foundational understanding of embeddings, semantic search, and NLP concepts.
• Awareness of LLM risks such as prompt injection and data leakage, and common…