Vagas remotas de GCP para candidatos em México.

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

Building tools and applications to extends Calendly’s infrastructure platform

Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g.

Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g.

Help lead the design and deployment of security solutions for cloud platforms (AWS, Azure, GCP), including network and compute security, identity management, and cloud security posture management (CSPM)

Have 5+ years of experience running critical systems at scale

Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB

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

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

Successfully coordinate and collaborate with a global team of Cloud Operations Engineers who are tasked with ensuring our uptime guarantees to our Atlas customer base

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

Build and evolve developer infrastructure: Own CI/CD systems, build tooling, and developer platforms that improve velocity and reliability across engineering.

Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark.

Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark.

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.

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

Own technical relationship and outcomes for a portfolio of enterprise customers, acting as the primary technical point-of-contact for ongoing success and support coordination.

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

Own technical integration delivery for priority customers — from first API call through production scale