Vagas remotas de Azure com elegibilidade clara.

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

Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform

• Work in an Agile environment to roll out features/fixes/updates in a sprint cycle • Work with international team to deploy new tools and support existing tools • Communicate well with internal/external stakeholders to fulfill

Build, deploy, maintain, and troubleshoot scalable Azure cloud infrastructure

Operate the production system: deploys, rollbacks, capacity, incident response.

Support the availability and durability of critical services across production environments.

Build, deploy, and troubleshoot microservices in Kubernetes and Amazon EKS, ensuring scalability and reliability.

Implement and maintain robust automation for deploying and operating Kong's Managed Gateways across various cloud environments.

Proactive Reliability Engineering (~75% of role) · Analyze systemic failure patterns and design improvements that prevent incident recurrence · Define and maintain SLO/SLA frameworks;

" Great candidates may also have one or more of these qualifications: 1. Experience contributing to production codebases in a professional setting 2.