Drimva

Zscaler

Sr. Staff SWE, Provisioning Platform

$154K–$220K

Santa Clara, California, USA · Senior Staff · Full-time · Posted Mar 11, 2026

Experience
8+ years of software engineering experience building large-scale backend, platform, distributed systems, or cloud-native applications.

About the job

Architect and build a scalable backend provisioning platform for product entitlements, subscription lifecycles, workflow automation, and self-service experiences, including capabilities for Agentic AI-assisted workflows.

What you'll do

  • Lead development of backend services for provisioning, licensing, entitlements, approvals, orchestration, and subscription lifecycle management.
  • Design API-first services and resilient, workflow-driven systems with secure communication and durable state management.
  • Drive platform reliability, observability, auditability, developer tooling, technical direction, and mentoring.

What they ask for

  • Demonstrated curiosity and active exploration of AI tools, with a history of integrating new technologies into workflows.
  • Strong Java and Spring Boot experience building production-grade microservices and APIs.
  • Experience with distributed systems and API-first platform development, including resiliency, workflow handling, security, and audit logging.
  • Experience with cloud-native and event-driven technologies, including Kubernetes, Docker, Kafka/RabbitMQ, PostgreSQL, Redis, CI/CD, observability, and production operations.

Nice to have

  • Experience with provisioning, licensing, entitlements, commerce, billing, subscriptions, or internal developer platforms at scale.
  • Experience with workflow orchestration or Agentic AI/LLM workflows; Python/FastAPI, Go, React, Next.js, or Material UI experience is a plus.

Pay

$154,000 — $220,000 USD (base salary)

Tools

Java, Spring Boot, REST, gRPC, OpenAPI, OAuth2, JWT, Kafka/RabbitMQ

AI focus

Build platform capabilities for Agentic AI-assisted provisioning, workflow automation, recommendations, troubleshooting, and operational insights; AI-tool exploration and workflow integration are also required.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)