- Demonstrate a proven ability to leverage AI technologies and workflows to drive measurable operational efficiency.
- Experience with LiteLLM (multi-region deployments), distributed compute frameworks like Ray.io/Anyscale, workflow engines like Temporal, and agentic frameworks (LangGraph, LangChain, or LlamaIndex).
- Working knowledge of vector databases (Qdrant, Pinecone, Weaviate), memory/context layers like ZEP, MLOps practices (model registry, MLflow/Kubeflow), and LLM observability tools (Arize Phoenix).
- Exposure to GitOps workflows (ArgoCD/Flux), log aggregation and distributed tracing (Loki, ELK, Jaeger/Tempo), cloud cost optimization (FinOps), and security compliance frameworks (SOC 2, ISO 27001).
#LI-Hybrid #LI-NT1
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler's hybrid working model and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.