Roles remotos de AWS para candidatos en Peru.

A DevSecOps engineering mindset

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

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.

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

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.

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.

Design, deploy, and scale machine learning systems and end-to-end ML pipelines in production environments.

Experience with AWS services including but not limited to S3, Athena, EC2, EMR, and Glue.

Experience with AWS services including but not limited to S3, Athena, EC2, EMR, and Glue.