Sr. Staff Software Development Engineer - AI Platform

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.

We are looking for a Sr. Staff AI Platform Engineer to join our team. This is an On-site role based in Bangalore/Pune, reporting to the Senior Manager in the IT Data Strategy department. In this position, you will design, scale, and maintain enterprise cloud infrastructure and platform capabilities to support production AI/ML workloads. Operating within the IT Data Strategy team, you will drive infrastructure automation, observability, and platform governance while empowering AI and data engineering teams to deliver high-impact solutions reliably and securely.

What you’ll do (Role Expectations)

• Design, build, and maintain scalable, secure, and highly available AWS infrastructure (EKS, Lambda, ECS, VPC, IAM) for AI/ML workloads using Terraform, following IaC best practices including reusable modules, remote state management, and environment-based blueprints

• Own and continuously evolve GitLab CI/CD pipelines for AI platform services, automating build, test, security scanning, and multi-environment deployment workflows to enable fast, reliable, and repeatable releases

• Architect a centralized observability stack using Prometheus and Grafana with golden-signal dashboards across AI/ML services and infrastructure, design intelligent alerting strategies (Alertmanager, PagerDuty, OpsGenie), and lead incident response, root-cause analysis, and postmortems to improve MTTA/MTTR

• Define and track DORA metrics to drive delivery and reliability improvements, while building self-healing, auto-scaling, and cost-optimized infrastructure for AI/ML services (LLM inference, vector databases, agent frameworks) on Kubernetes (EKS)

• Implement infrastructure security best practices, establish platform governance standards, partner with AI/ML and data engineering teams on production-grade AI/RAG deployments, and mentor junior/mid-level engineers through design and code reviews

Who