DevSecOps Platform Engineer, AI Automation

Who are we?

• Contribute to the build, maintenance, and improvement of secure CI/CD pipelines (e.g., GitHub 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 CloudFormation) 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 (LangChain, LangGraph, CrewAI, or AutoGen) 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 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).

• 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.

• 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.

• Exposure to AIOps tools or observability platforms.
• Interest in or familiarity with MLOps pipelines and model lifecycle management.
• Experience with QA automation frameworks.
• Awareness of Zero Trust architecture principles.
• Exposure to AI governance frameworks or compliance automation.

• Meaningful contributions to reducing manual security and ops effort through pipeline automation.
• Consistent delivery of secure, well-tested code and pipeline changes with minimal rework.
• Active participation in improving adoption of standardized CI/CD patterns across engineering teams.
• AI capabilities you contribute to operate safely, with governance controls and observable behavior.
• Demonstrated growth in DevSecOps, cloud, and AI domains over the first 12 months.

• This is a hands-on engineering role - you will be writing code, building pipelines, and debugging real systems daily.
• You will work in ambiguous, fast-evolving AI environments - expect iteration, experimentation, and learning on the job.
• A significant portion of effort involves integrating tools and diagnosing complex CI/CD and security issues.
• AI solutions require ongoing tuning, evaluation, and optimization - they are never fully 'done'.
• You will balance speed, security, and cost trade-offs while keeping developer workflows practical and usable.

• Team size: 6-8 engineers across varying seniority levels.
• Close collaboration with Security, Infrastructure Platform, QA, and SRE teams.
• Individual Contributor role - no direct reports.
• Mentorship and growth support provided by senior engineers on the team.

The targeted pay range for this position in the following location is / locations are:

United States - Dallas Infomart Office DAI : 118,000 - 176,000 USD / Annual

Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.

The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.

Equinix Benefits

As an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we're providing you with the best package possible. So, wherever you are in your career and life, you'll be able to enhance your experience and bring your whole self to work.

Employee Assistance Program: An Employee Assistance program is available to all employees.

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

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