Mira encontra vagas remotas de TI para as quais você pode realmente aplicar.

Execute Dedicated Geo migrations and cutovers end-to-end, including planning, pre-cutover validation, execution, and post-cutover verification and cleanup.

Develop and maintain features whilst communicating directly with enterprise customers.

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

Remote + Hybrid Flexibility: Enjoy the best of both worlds—collaborative office days when it counts, balanced with the freedom to work from home.

Design, develop, and maintain scalable, secure, and high-performance backend services using Java and Spring Boot.

Design, develop, and maintain scalable, secure, and high-performance full-stack applications.

Design, build, and enhance cloud infrastructure and deployment pipelines supporting web and mobile applications

Build and scale Databricks AI/BI solutions (dashboards, Genie experiences, data pipelines)

Design and Execute Test Cases: Create detailed, well-structured test plans and cases based on product requirements and acceptance criteria.

Remote + Hybrid Flexibility: Enjoy the best of both worlds—collaborative office days when it counts, balanced with the freedom to work from home.

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

Ensure platform reliability and availability across production and pre-production environments through proactive monitoring, alerting, and automation.

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.

Own and evolve the test automation platform, ensuring scalability, reliability, and ease of use

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

Middleware & Integration:Oracle Fusion Middleware suite (OSB, SOA/BPEL, WebLogic)Oracle Identity Management (OIM), Oracle Unified Directory (OUD)PeopleSoft, DTC, ODIN

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

IaC architecture — Terraform module design, state management, multi-account patterns, and setting the standards the rest of the team builds against

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