Engineering Manager, Cloud Storage at VTEX

Remote - Brazil

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As an Engineering Manager for Cloud Storage, you will lead the core team responsible for the data backbone of our platform. We are looking for a platform‑minded leader to manage an ecosystem that encompasses everything from SQL (Aurora, Postgres, SQL Server) and NoSQL (Redis, DynamoDB) to Search Engines (OpenSearch, Apache Solr) and Object Storage. You will manage a squad of infrastructure and software engineers, acting as a true Platform Engineering team, and your ultimate mission is not just to keep the databases running flawlessly, but to drastically increase developer velocity by building autonomous "storage‑as‑a‑service" environments, creating self‑service tooling, and maintaining the integration libraries and SDKs that allow our product squads to ship features faster and with confidence.

Requirements

Skills

  • Software Engineering experience
  • Platform/Infrastructure engineering background
  • Seasoned Engineering Manager with proven track record managing people and technical projects
  • Hands‑on experience with relational databases such as PostgreSQL and Aurora
  • Hands‑on experience with NoSQL databases such as DynamoDB and Redis
  • Experience with Search engines like OpenSearch and Apache Solr
  • Experience with Object Storage systems
  • Experience maintaining integration libraries or internal developer platforms
  • Hands‑on experience with AI/LLMs, automation, and modern developer tools
  • Fluent English communication skills

Responsibilities

  • Manage, mentor, and grow a mixed team of software and infrastructure engineers
  • Build the strategic roadmap for the entire storage ecosystem
  • Define architecture patterns, capacity planning, and evolution of SQL, NoSQL, Search, and Object Storage solutions
  • Treat infrastructure as a product and oversee development of integration libraries, APIs, and golden paths
  • Guarantee high availability, performance, and resilience across all data layers in a large‑scale environment
  • Identify operational bottlenecks and create a backlog focused on replacing manual requests with automated, self‑service solutions

Technologies

SQL (Aurora, Postgres, SQL Server)NoSQL (Redis, DynamoDB)Search Engines (OpenSearch, Apache Solr)Object StorageIntegration librariesSDKsAI/LLMsAutomation toolsModern development tools

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