Roles remotos de MongoDB para candidatos en Estados Unidos.

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

5+ years of relevant experience, and 3+ years of search expertise (Elasticsearch (ELK Stack), Lucene, Solr or similar)

5+ years of relevant experience, and 3+ years of search expertise (Elasticsearch (ELK Stack), Lucene, Solr or similar)

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

Drive Security Innovation: Design, write code, and deploy technologies that we use for corporate security functions, including detection & response workflows, vulnerability management, access control

Design, build, and maintain CI/CD pipelines using GitLab CI/CD, Jenkins, and GitHub Enterprise

Build, train, and optimize computer vision models for image classification, face liveness detection, and presentation attack detection (PAD) / anti-spoofing.

Administer and maintain Kubernetes clusters and containerized workloads.

Lead end-to-end architecture of scalable, secure, high-performing DevOps solutions supporting enterprise-grade deployment pipelines.

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

End-to-end development of our labor marketplace across web and mobile.

Serve as the primary technical escalation point for database-related customer issues, responding via email, ticketing systems, and video calls with precision and clarity.