Roles remotos de Azure con elegibilidad clara.

Deep expertise in building and delivering technical results and solutions with national security (reselling) partners.

the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer.

Manage large-scale, distributed systems, focusing on minimizing downtime and improving system resilience.

Design and develop robust, scalable data pipelines using Azure Data Factory (ADF)

Microsoft Azure

Define the APAC infrastructure architecture. This isn't a maintenance role. You'll design and own the Azure footprint for our APAC businesses end-to-end — compute, networking, storage, identity, containerisation

Demonstrated expertise in designing and implementing AI-driven agents to optimize and transform the Software Testing Life Cycle (STLC)

Priority access - be first to hear about new roles before they go public

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Manage AWS infrastructure operations, configuration, and service reliability.

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

The rate depends on your skills and experience. We've already paid out over $11M to our engineers.

The infrastructure is both reliable and secure — the CEO no longer concerns themselves with outages or breaches.

Engage in fast-paced agile application development teams in terms of organizing, managing and executing your work with minimal supervision.

Automate the build, test, deployment, and infrastructure provisioning pipelines using Azure DevOps, Bicep/ARM, or Terraform.

Azure Cloud Management: • Design, implement, and manage Azure infrastructure using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.

Kubernetes Ownership: Be the Kubernetes maintainer. Own cluster operations end-to-end: upgrades, capacity, networking, RBAC, manifests/Helm charts, ongoing operations and maintenance

Performance improvement using both partial analysis and full analysis

Storage Engine Development: Design and implement innovative strategies for table schematization, materialization, and compaction at massive scale.

Define and implement SLIs, SLOs, and error budgets for critical CloudBlue services to ensure reliability and performance

Define, track, and improve Service Level Objectives (SLOs), SLIs, and error budgets to ensure reliability targets are met

Production Kubernetes - Operate, scale, and evolve cloud-native infrastructure with a strong bias toward reliability, observability, and automation.