Vagas remotas de GCP para candidatos em Estados Unidos.

Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP

Design, build, and maintain secure CI/CD pipelines with security gates that catch issues before they reach production.

Serves packages to customers at scale

Operate and develop the Elastic Build service, our Kubernetes + GitHub + Cloud Run pipeline that converts package specifications into real downloadable artifacts, improving reliability, performance, resource usage

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

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

Set architectural patterns, reference implementations, and foundational security automation that shape how infrastructure security is implemented across GitLab

Lead and coordinate end-to-end incident response for high-severity security events within a 24/7 global on-call model, with this role operating during U.S. business hours.

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

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

Productionalization:Owning the transition from research code to production-ready and optimized models. Establishing CI/CD pipelines that allow scientists to deploy models in short iteration cycles.

Lead the end-to-end design, implementation, and optimization of machine learning, deep learning, and traditional algorithms for business-critical applications.

3+ years of hands-on classic ML development (from data exploration to production use)

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.

Work with all business units to assess technology needs.

Define, track, and improve Service Level Objectives (SLOs), SLIs, and error budgets to ensure reliability targets are met

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

Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems.

Deliver new features in our eCommerce solutions

Design, develop, and iterate on geospatial AI/ML models for demographic estimation, socioeconomic measurement, and related domains—grounded in peer-reviewed methodology and validated against real-world ground truth.

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