Roles remotos de AWS para candidatos en México.

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

Operate and evolve our EKS-based Kubernetes platform, supporting service migrations, platform improvements, and reliability initiatives.

A DevSecOps engineering mindset

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

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.

Serve as the primary technical authority for post-sales customers, guiding deployment architecture, environment design, and adoption of Coder across both human and AI development workflows

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.

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

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

Design and evolve our Azure architecture while supporting our legacy AWS footprint

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.

You are a builder: You don't just use tools; you build them. You have 5+ years of experience in SRE, DevOps, DevEx or Platform Engineering with a heavy emphasis on software development.