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Equinix3 weeks ago

DevSecOps Platform Engineer, AI Automation

$118,000–$176,000 year

On-site · Dallas, Texas, United States

Type
Full Time
Level
Mid Level
Education
Not Specified
Company size
Enterprise

Job Summary

This hands-on engineering role focuses on building secure CI/CD pipelines and platform automation, maintaining IaC (Terraform, Bicep, CloudFormation) for repeatable environments, and supporting cloud-native apps with Kubernetes. You will integrate SAST/DAST/SCA into delivery pipelines, manage IAM and secrets, and develop AI-enabled capabilities (LLMs, RAG, agent workflows) to enhance diagnostics, remediation, and governance while contributing to observability and incident response. Collaboration with Security, Infra Platform, QA, and SRE teams is expected; the role emphasizes practical delivery, coding, and continuous improvement in a fast-evolving AI-enabled DevSecOps context.

Required Qualifications

  • 5+ years of experience in DevSecOps, Platform Engineering, software development, or a closely related engineering role
  • Practical experience contributing to CI/CD pipeline engineering (e.g., GitHub 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 CloudFormation)
  • Working knowledge of containers and Kubernetes (deployment, troubleshooting, basic operations)
  • Security Understanding of Secure SDLC and DevSecOps 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
  • AI / GenAI 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., LangChain, LangGraph, CrewAI, AutoGen)
  • Foundational understanding of embeddings, semantic search, and NLP concepts
  • Awareness of LLM risks such as prompt injection and data leakage, and common mitigation patterns
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$118k – $176k / yr

DevSecOps Platform Engineer, AI Automation · Equinix

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