Design and build the security foundations for autonomous software agents as a senior individual contributor.
Compensation
Base salary: USD 200K to 330K per year
Responsibilities
Define the threat model and roadmap, mapping trust boundaries and data flows, ranking risks and setting testable acceptance criteria for each deployment.
Build execution controls that constrain generated code, privileged tools and extensions, validating third-party sandboxing where it is used.
Implement scoped permissions and approvals so automated actions never exceed the authority of the user or organization that started them.
Create safe separations between services, manage temporary tokens and identity links, and keep each customer's data isolated.
Create customer-controlled action records, approval logs and audit exports, and make sensitive operations fail safely when dependent services are unavailable.
Requirements
Nice to have: Experience at well-known companies building developer or desktop software with strict IP and security controls
Nice to have: Background in agent frameworks
Nice to have: Programmer tooling
Nice to have: Interoperability standards for tools
Design and implement highly available, scalable infrastructure across AWS, Azure, GCP, and bare-metal environments; drive an automation-first culture by writing code (Python/Go) to eliminate manual toil and build self-healing systems; implement and maintain sophisticated observability (Prometheus, Grafana, OpenTelemetry), define SLIs/SLOs, and establish error budgets; act as a lead Incident Commander (TDO on-call), develop response playbooks, and conduct deep-dive post-incident analyses; partner with Engineering and partner teams to conduct operability reviews.
Locations (2)
San Jose, California, United States
Bellevue, Washington, United States
Compensation
$115,500—$165,000 USD
Responsibilities
Design and implement highly available, scalable infrastructure across AWS, Azure, GCP, and bare-metal environments
Drive an "automation-first" culture by writing code (Python/Go) to eliminate manual toil and build self-healing systems
Implement and maintain sophisticated observability (Prometheus, Grafana, OpenTelemetry), define SLIs/SLOs, and establish error budgets
Act as a lead Incident Commander (TDO on-call), develop response playbooks, and conduct deep-dive post-incident analyses
Design and implement highly available, scalable infrastructure across AWS, Azure, GCP, and bare-metal environments while driving an automation-first culture and improving observability and incident response for Zscaler’s global platform.
Locations (2)
San Jose, California, United States
Bellevue, Washington, United States
Compensation
$133,000—$190,000 USD
Responsibilities
Design and implement highly available, scalable infrastructure across AWS, Azure, GCP, and bare-metal environments
Drive an "automation-first" culture by writing code (Python/Go) to eliminate manual toil and build self-healing systems
Implement and maintain sophisticated observability (Prometheus, Grafana, OpenTelemetry), define SLIs/SLOs, and establish error budgets
Act as a lead Incident Commander (TDO on-call), develop response playbooks, and conduct deep-dive post-incident analyses
Partner with Engineering and partner teams to conduct operability reviews
The Staff Production Engineer provides technical vision and hands-on execution to drive an 'automation-first' culture, maturing observability and architectural standards to shape the scalability of globally distributed, multi-cloud infrastructure.
Locations (2)
San Jose, California, United States
Bellevue, Washington, United States
Compensation
Base Pay Range $133,000—$190,000 USD
Responsibilities
Design and implement highly available, scalable infrastructure across AWS, Azure, GCP, and bare-metal environments
Drive an 'automation-first' culture by writing code (Python/Go) to eliminate manual toil and build self-healing systems
Implement and maintain sophisticated observability (Prometheus, Grafana, OpenTelemetry), define SLIs/SLOs, and establish error budgets
Act as a lead Incident Commander (TDO on-call), develop response playbooks, and conduct deep-dive post-incident analyses
Partner with Engineering and partner teams to conduct operability reviews
Lead Java engineering for fraud risk microservices, designing and maintaining high‑scale backend APIs, monitoring production services, and driving technical innovation within the Fraud Risk team.
Compensation
Competitive total compensation package
Responsibilities
Design and develop 24/7 high‑scale APIs and distributed systems
Implement and support backend microservices
Write unit, integration tests and CI/CD scripts
Own, monitor and improve services in production
Collaborate with engineering managers, architects, engineers & QA
Sr. Production EngineerNewZscaler · San Jose, US+1 more
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