Senior Staff DevSecOps Engineer (Agentic AI & CI/CD Platform)

Role

We are looking for a Senior Staff DevSecOps Engineer to join our Engineering team. This is a hybrid role based in Bangalore, reporting to the Director, Software Engineering. In this role you will lead Zscaler's Agentic AI-driven DevSecOps capabilities - building secure, enterprise-grade developer agents and automation that integrate with engineering systems. You will design and operate Model Context Protocol (MCP) servers/tools (and related agent tool frameworks) to connect AI agents to CI/CD, source control, observability, security, and operations with strong governance, auditability, and least-privilege access.

What you'll do (Role Expectations)

• Design and maintain secure MCP-integrated infrastructure to power autonomous DevSecOps agents across CI/CD, security, and observability systems
• Standardize AI guardrails and injection mitigations while engineering privacy-first platforms with robust access controls and audit logging
• Manage self-hosted GitLab operations, ensuring high availability and performance while designing reusable CI/CD frameworks
• Scale and harden Kubernetes runner infrastructure using Terraform and GitOps (Argo CD/Flux) to ensure secure, automated deployments
• Shape the technical vision and roadmap while driving cross-functional operational efficiency through design reviews and strategic mentorship

Who You Are (Success Profile)

• You thrive in ambiguity. You are comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful
• You act like an owner. Your passion for the mission fuels your bias for action, and you have the dynamic range to navigate seamlessly between high-level strategy and hands-on execution
• You are a problem-solver. You love running toward challenges because you are laser-focused on finding solutions, knowing that solving hard problems delivers the biggest impact
• You are a high-trust collaborator. You are ambitious for the team and embrace our challenge culture by giving and receiving feedback with clarity and respect
• You are a learner. You have a true growth mindset and are committed to your own development, actively seeking feedback to become a better partner and a stronger teammate

What We're Looking for (Minimum Qualifications)

• 8+ years of expertise in DevOps or Platform Engineering with a track record of cross-org impact, specifically building Agentic AI systems with hands-on experience in MCP servers
• Proven experience with AI guardrails and Responsible AI practices, including safety controls, evaluation/monitoring, and governance-aware implementation
• Expertise in architecting high-performance CI/CD systems and managing self-hosted GitLab, including high availability, upgrades, and troubleshooting
• Proficient in Kubernetes orchestration and Helm, with hands-on expertise in Terraform and GitOps (Argo CD/Flux) for automated infrastructure management
• Strong Linux and cloud (AWS) fundamentals with proficiency in Python/Bash scripting and managing secure, scalable IAM/RBAC and networking infrastructure

What Will Make You Stand Out (Preferred Qualifications)

• Experience operating large GitLab Runner fleets with Kubernetes autoscaling and cost optimization
• Deep supply chain security expertise including signing/attestations, SBOM, SLSA-aligned practices, and policy-as-code
• Expertise in GitLab Geo for multi-site resilience, Vault/KMS for secret governance, and AWS SA-Pro or CKA/CKS certifications

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