Principal DevSecOps Platform Engineer - AI Automation :

- JR-161270
- Hybrid
- Bengaluru
- Technology
- Full time

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 bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

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

Equinix is seeking a Principal DevSecOps Platform Engineer to lead the design, implementation, and evolution of secure, scalable, and intelligent DevSecOps platform capabilities within the Engineering Excellence (E3) organization.

This role will drive enterprise-scale CI/CD modernization, platform engineering initiatives, security automation, and AI-enabled operational workflows supporting multiple engineering organizations across Equinix.

Responsibilities : Platform Engineering & CI/CD :

- Architect, build, and scale enterprise CI/CD platform capabilities and reusable workflow frameworks.
- Drive modernization of software delivery and platform engineering practices across engineering organizations.
- Design Infrastructure as Code standards and cloud-native deployment patterns.- Partner with engineering teams to standardize secure and scalable DevSecOps practices.

Security & Governance :

- Lead implementation of Secure SDLC, shift-left security, and policy-as-code frameworks.
- Integrate SAST, DAST, and SCA security tooling into software delivery pipelines.
- Drive automation for vulnerability management, secrets management, and compliance enforcement.




- Collaborate with Security and Infrastructure teams to improve governance and operational security standards.

AI / GenAI Automation :

- Design and implement AI-enabled DevSecOps and developer productivity solutions.
- Build and operationalize RAG pipelines and agent-based automation workflows.
- Develop intelligent remediation capabilities leveraging code, logs, telemetry, and security signals.
- Implement secure and governed LLM integration patterns using contemporary AI platforms and frameworks.
- Evaluate and optimize AI-enabled operational workflows for reliability, scalability, and cost efficiency.

Technical Leadership :

- Define and influence technical direction for platform engineering, DevSecOps, and AI automation initiatives across Engineering Excellence.
- Drive adoption of engineering standards, platform capabilities, and secure software delivery practices across multiple organizations.
- Operate independently across cross-functional programs and complex engineering environments.
- Mentor engineers and contribute to engineering standards and best practices.
- Collaborate across Security, Infrastructure, QA, SRE, and Software Engineering organizations.
- Partner with senior engineering leaders and architects to improve developer productivity, security posture, reliability, and delivery effectiveness.

Required Qualifications : Core Engineering & DevSecOps :





- 12+ years of experience in Platform Engineering, DevSecOps, SRE, Cloud Infrastructure, or related domains.

- Strong hands-on expertise building enterprise CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.

- Strong software engineering background with proficiency in Python, Go, Java, or Node.js.

- Deep understanding of:

- Cloud platforms (AWS, Azure, or GCP)

- Kubernetes and container ecosystems

- Infrastructure as Code

- Distributed systems and microservices architectures

- Strong understanding of SDLC, testing, release engineering, and developer platform ecosystems.

Security :

- Strong knowledge of Secure SDLC and DevSecOps principles.
- Experience implementing SAST, DAST, SCA, and policy-as-code frameworks.
- Experience with IAM, secrets management, governance, and compliance automation.
- Proven experience driving shift-left security initiatives.

AI / GenAI :

- Practical experience leveraging LLMs in engineering or operational workflows.

- Experience building:

- RAG pipelines

- Agent-based workflows

- AI-assisted automation capabilities

- Understanding of:

- Embeddings and semantic search

- LLM governance and security risks

- Responsible AI implementation practices

Preferred Qualifications :

- Experience with AIOps and observability platforms.
- Familiarity with MLOps pipelines and model lifecycle management.
- Experience with enterprise developer platforms and engineering enablement tooling.
- Knowledge of Zero Trust architecture and compliance automation frameworks.
- Exposure to AI governance and operational risk management practices.

Success Measures :

- Measurable reduction in manual security and operational effort through automation and AI-enabled workflows.
- Inc

📌 Principal Devsecops Platform Engineer - Ai Automation (Bengaluru)
🏢 Equinix
📍 Bengaluru