Staff Production Engineer: AI-Driven Infra Reliability (Hybrid)

Zscaler, Inc.

San Jose (CA)

Hybride

USD 133 000 - 190 000

Plein temps

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Avantages offerts par ce poste

Time off plans
Parental leave options
Retirement options
In-office perks

Résumé du poste

Zscaler is seeking a Staff Production Engineer to fortify the reliability of a global, multi-cloud platform. You will architect scalable infrastructure across AWS/Azure/GCP and drive an automation-first culture with self-healing systems.

You will lead observability initiatives, define SLIs/SLOs, and act as Incident Commander in a 24/7 on-call rotation, collaborating with engineering to improve operability and resilience across edge and cloud environments.

Qualifications

  • Foundational understanding of AI/ML technologies and experience leveraging AI-driven solutions.
  • 8+ years of experience managing reliability, scalability, and availability for large-scale production services with deep programming expertise (Python/Go/C/C++).
  • Strong background in networking, Linux/FreeBSD, and distributed architectures.
  • Experience in high-stakes incident management and 24/7 on-call rotation.
  • Proficiency with ITIL frameworks and driving service maturity through operability reviews.

Responsabilités

  • Design and implement highly available, scalable infrastructure across AWS, Azure, GCP, and bare-metal environments.
  • Drive an automation-first culture by writing code to eliminate toil and build self-healing systems.
  • Implement and maintain observability with Prometheus, Grafana, and OpenTelemetry; define SLIs/SLOs and error budgets.
  • Act as lead Incident Commander (TDO on-call) and develop incident response playbooks.
  • Partner with engineering and other teams to conduct operability reviews.

Connaissances

Python
Go
C/C++
Linux/FreeBSD
Incident management
ITIL

Outils

Prometheus
Grafana
OpenTelemetry
HAProxy
Ansible
Terraform

Description du poste

Zscaler is seeking a Staff Production Engineer to fortify the reliability of a global, multi-cloud platform. You will architect scalable infrastructure across AWS/Azure/GCP and drive an automation-first culture with self-healing systems.

You will lead observability initiatives, define SLIs/SLOs, and act as Incident Commander in a 24/7 on-call rotation, collaborating with engineering to improve operability and resilience across edge and cloud environments.

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