Roles remotos de AWS para candidatos en Venezuela.

Be the frontline agent: Triage, investigate, manage, and annihilate complex customer issues involving Chainguard Images.

Collect customer business requirements and advise them on Ubuntu and relevant open source applications

Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer

Collaborating with product, engineering, and alliance teams at public cloud partners to align on open-source strategies.

Build and lead a team of engineers in your and similar timezones

Manage a distributed team of engineers and its MLOps/Analytics portfolio

Creating automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications

Understand Ubuntu, Linux, networking and services in real-world environments

Lead and develop a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services

Work across the entire Linux stack, from kernel, networking, storage, to applications

Understand Ubuntu, Linux, networking and services in real-world environments

Lead and develop a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services

Public cloud: AWS, Google, Microsoft, Oracle.

Lead and develop a team of engineers, ranging from graduate to senior

Develop strategy and operations to improve win rates by helping teams discover, explain, and demonstrate how GitLab meets customer requirements and desired business outcomes.

Develop and maintain features whilst communicating directly with enterprise customers.

Own multiple backend team goals and projects, delivering on time and with high quality with minimal oversight

Leading customer conversations as a technical expert and leveraging your expertise and knowledge of our solution to guide them through the onboarding and implementation phases.

Based in Latin America with availability to work aligned with US business hours (EST or PST)

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

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

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

We are looking for a Senior AI Engineer to lead the development and scaling of our LLM-powered solutions.