Senior DevSecOps Platform Engineer, AI Automation

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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.

We are seeking a Senior Dev Sec Ops  / Platform Engineer to design, build, and operate secure CI/CD and platform automation capabilities enhanced with LLM-driven workflows. This hands‑on role will embed security and compliance controls into the software delivery lifecycle, implement policy‑as‑code guardrails, and build AI‑powered agents to reduce operational toil, accelerate remediation, and improve enterprise security posture. You'll collaborate closely with Security, SRE/Infra Platform, and engineering teams to enable faster, safer software delivery while balancing speed, security, and cost.

• Build, maintain, and continuously improve secure CI/CD pipelines (e.g., Git Hub Actions) and reusable workflow templates.
• Develop platform automation that improves developer experience, reliability, and deployment consistency.
• Engineer and maintain Infrastructure as Code (Terraform, Bicep, and/or Cloud Formation) for repeatable environments.
• Support cloud‑native applications using containers and Kubernetes, including troubleshooting deployments and runtime issues.

• Integrate SAST, DAST, and SCA scanning tools into CI/CD with actionable reporting and automated gating.
• Implement best practices for IAM and secrets management, minimizing credential exposure and enforcing least privilege.
• Build and maintain policy‑as‑code controls that align to governance requirements and reduce manual compliance effort.
• Partner with Security and engineering teams to align guardrails with practical delivery workflows.

• Implement LLM‑enabled capabilities in pipelines and platforms using production‑grade LLM services (e.g., GPT, Azure OpenAI, Claude, Llama).
• Build and operationalize RAG pipelines for retrieving runbooks, standards, and historical incident/pipeline context.
• Develop agent‑based workflows (Lang Chain, Lang Graph, CrewAI, Auto Gen) to assist with diagnostics and remediation.
• Develop agents that leverage code, logs, pipeline signals, and security findings to diagnose CI/CD failures, recommend fixes, and automate safe recovery actions within defined guardrails.
• Apply LLM risk controls and mitigations (e.g., prompt injection, data leakage) including access boundaries and auditability.

• Enhance platform observability and incident response by integrating AI‑driven insights and automation.
• Continuously tune and evaluate AI solutions for accuracy, safety, reliability, and cost.
• Document standards, patterns, and runbooks; contribute to scalable onboarding and adoption.

• 30% - Building/enhancing CI/CD pipelines and platform automation
• 25% - Implementing AI/LLM capabilities (agents, RAG, workflow automation)
• 20% - Security engineering (scanning tools, policies, compliance)
• 15% - Cloud infrastructure & Kubernetes support
• 10% - Collaboration (architecture reviews, design discussions, support)

• 8+ years experience in Dev Sec Ops  / Platform Engineering or related roles.
• Hands‑on expertise with CI/CD pipeline engineering (e.g., Git Hub Actions).
• Strong programming skills in Python, Go, or Java.
• Deep understanding of cloud platforms (AWS, Azure, or GCP).
• Strong knowledge of microservices and distributed systems.
• Strong knowledge of Infrastructure as Code (Terraform, Bicep, Cloud Formation).
• Strong knowledge of containers and Kubernetes.

• Strong knowledge of Secure SDLC / Dev Sec Ops  practices.
• Experience integrating SAST, DAST, and SCA…