Zscaler
cybersecurity
SeniorStaffDevSecOpsEngineer(AgenticAI&CI/CDPlatform)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Staff DevSecOps Engineer (Agentic AI & CI/CD Platform) at Zscaler. Skills: Agentic AI, DevSecOps, CI/CD Platform, Kubernetes, Terraform, GitOps, AI guardrails, Responsible AI. lead Zscaler’s Agentic AI-driven DevSecOps capabilities. building secure, enterprise-grade developer agents and automation that integrate with engineering systems”
Industry & Context.
problem-solver; running toward challenges; laser-focused on finding solutions; solving hard problems delivers the biggest impact
What They're Looking For.
Must Have
8+ years of expertise in DevOps or Platform Engineering with a track record of cross-org impact, 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, hands-on expertise in Terraform and GitOps (Argo CD/Flux) for automated infrastructure management, Linux and cloud (AWS) fundamentals, proficiency in Python, scripting, managing secure, scalable IAM/RBAC and networking infrastructure
Nice to Have
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, AWS SA-Pro or CKA/CKS certifications
What You'll Do.
lead Zscaler’s Agentic AI-driven DevSecOps capabilities
enterprise-grade developer agents and automation that integrate with engineering systems
design and operate Model Context Protocol (MCP) servers/tools (and related agent tool frameworks) to connect AI agents to CI/CD
and operations with governance
and least-privilege access
Design and maintain secure MCP-integrated infrastructure to power autonomous DevSecOps agents across CI/CD
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
driving cross-functional operational efficiency through design reviews and strategic mentorship
How You'll Work.
Team & Collaboration
cross-functional operational efficiency; high-trust collaborator; ambitious for the team; giving and receiving feedback; better partner; stronger teammate; collaboration
Communication Scope
constructive, honest debate; clarity and respect
Process & Methodology
technical vision and roadmap
Full Job Description
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. 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
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