Roles remotos de AWS para candidatos en Brasil.

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.

Design and manage infrastructure using Terraform (Infrastructure as Code)

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

Belief – Build technical conviction in Chainguard

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.

Develop and maintain features whilst communicating directly with enterprise customers.

Flexible remote work environment

Kubernetes

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

4+ years experience in SRE, infrastructure, or platform engineering roles

(SOC2, ISO27001, PCI DSS). Experience with designing and developing AI based solutions. Ability to manage and collaborate across cross-functional teams. Proven ability to reduce operational toil through automation.

Define and lead infrastructure and reliability strategy across the platform

Scale and maintain the ability to drive operational stability across multi-cloud environments (Azure, AWS, GCP)

Kubernetes Ownership: Be the Kubernetes maintainer. Own cluster operations end-to-end: upgrades, capacity, networking, RBAC, manifests/Helm charts, ongoing operations and maintenance

A DevSecOps engineering mindset

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

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

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

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.

Solid experience with AWS

Design and implement end-to-end AI architectures, including data pipelines, model orchestration, and scalable inference endpoints.