Cloud Storage Platform Lead — Remote-First & Equity Eligible

VTEX; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Profit-sharing

Health, dental, life insurance

Professional development budget

Language incentive program

Meal allowance

Parental leaves

Child-care assistance

Remote-first culture

Job summary

VTEX in the United States is seeking an Engineering Manager for Cloud Storage to lead a squad of infrastructure and software engineers building the data backbone of our platform. You will drive architecture across relational, NoSQL, search, and object storage components, and ship self-service tooling to accelerate product delivery.

You will mentor engineers, define the storage ecosystem roadmap, ensure high availability and performance, and foster a culture of automation and responsible AI

Qualifications

• Strong background in software engineering and platform/infrastructure engineering.
• Seasoned Engineering Manager with proven people-management experience.
• Hands-on with large-scale data engines across relational, NoSQL, search, and object storage.

Responsibilities

• Lead a mixed team of software and infra engineers and foster automation.
• Define the storage ecosystem roadmap and architecture patterns.
• Oversee APIs and libraries to improve developer productivity.
• Ensure high availability, performance, and resilience.
• Automate operations and build self-service solutions.

Skills

Software Engineering

Platform/Infrastructure

People Management

Integration Libraries

AI/Automation

English Proficiency

Tools

PostgreSQL/Aurora

Redis/DynamoDB

OpenSearch/Solr

Object Storage

Job description

VTEX in the United States is seeking an Engineering Manager for Cloud Storage to lead a squad of infrastructure and software engineers building the data backbone of our platform. You will drive architecture across relational, NoSQL, search, and object storage components, and ship self-service tooling to accelerate product delivery.

You will mentor engineers, define the storage ecosystem roadmap, ensure high availability and performance, and foster a culture of automation and responsible AI