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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.

Role Summary

We are seeking a Senior DevSecOps / 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.

Key Responsibilities

CI/CD & Platform Engineering

• Build, maintain, and continuously improve secure CI/CD pipelines (e.g., GitHub 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 CloudFormation) for repeatable environments.
• Support cloud-native applications using containers and Kubernetes, including troubleshooting deployments and runtime issues.

Shift-Left Security & Compliance Automation

• 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.

AI / GenAI-Powered DevSecOps Automation

• 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 (LangChain, LangGraph, CrewAI, AutoGen) 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.

Observability & Operational Excellence

• 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.

How You’ll Spend Your Time (Typical Breakdown)

• 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)

Required Qualifications (Must Have)

Core Engineering & DevSecOps

• 8+ years experience in DevSecOps / Platform Engineering or related roles.
• Hands-on expertise with CI/CD pipeline engineering (e.g., GitHub 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, CloudFormation).
• Strong knowledge of containers and Kubernetes.

Security

• Strong knowledge of Secure SDLC / DevSecOps practices.
• Experience integrating SAST, DAST, and SCA tools into delivery pipelines.
• Solid experience with secrets management and IAM concepts and implementation.
• Proven ability to implement shift-left security, guardrails, and policy-as-code.

AI / GenAI

• Practical experience running LLMs in production (e.g., GPT, Azure OpenAI, Claude, Llama).
• Experience building RAG pipelines.
• Experience building agent-based workflows (e.g., LangChain, LangGraph, CrewAI, AutoGen).
• Understanding of embeddings, semantic search, and NLP fundamentals.
• Understanding of LLM risks (prompt injection, data leakage) and safe implementation patterns.

Preferred Qualifications (Nice to Have)

• Experience with AIOps and/or observability platforms.
• Familiarity with MLOps pipelines and model lifecycle management.
• Experience with synthetic data generation/anonymization.
• Experience with QA automation frameworks.
• Knowledge of Zero Trust architecture.
• Exposure to AI governance frameworks and compliance automation.

Success Measures (What Great Looks Like)

• Measurable reduction in manual security/ops effort through automation and agentic workflows.
• Improved application and infrastructure security posture via consistent scanning, policy controls, and guardrails.
• Faster and more reliable delivery cycles (reduced pipeline failures, shorter time-to-remediate).
• Increased adoption of secure, standardized CI/CD patterns across engineering teams.
• AI capabilities operate safely with governance controls, auditability, and cost-aware design.

Realistic Job Preview (Important to Know)

• This is a hands-on engineering role, not primarily strategy.
• You will work in ambiguous, fast-evolving AI environments—expect iteration and experimentation.
• A significant portion of effort involves integrating tools and debugging complex CI/CD + security issues.
• AI solutions require ongoing tuning, evaluation, and optimization.
• You’ll balance speed vs. security vs. cost while keeping developer workflows usable.

Team & Role Details

• Team size: 6–8 engineers.
• Close collaboration with Security, Infrastructure Platform, QA, and SRE.
• Individual Contributor role (no direct reports).

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

United States - Dallas Infomart Office DAI : 155,000 - 233,000 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.


US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members. - Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future. - Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.


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. 

We use artificial intelligence in our hiring process. Learn more here.


This posting is a new position within our organization.