36 Platform Engineer jobs in Brazil available for remote work from home. Apply for positions such as Cloud Platform Engineer, Staff Platform Engineer | Observability, Software Engineer, Platform - Rio de Janeiro, Brazil and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design, build, and maintain multi-cloud infrastructure and platform services across Azure, AWS, and GCP. Manage Kubernetes environments while implementing automation, observability, and security controls to ensure platform reliability.
You will lead the evolution of the observability ecosystem by building self-service 'Golden Paths' for engineering teams to monitor their services. This involves managing high-scale distributed architecture and ensuring the reliability and cost-effectiveness of the observability stack.
The role involves designing, developing, and maintaining robust backend APIs including payment, subscription, and authentication services. You will also collaborate on B2B solutions and ensure backend architecture aligns with product strategy and scalability requirements.
The Platform team is responsible for building and maintaining backend services including payments, analytics, subscriptions, and external APIs. You will design and optimize robust APIs while collaborating with cross-functional teams to align backend architecture with product strategy.
The DevOps Engineer will provision and maintain cloud infrastructure while implementing microservices and containerized architectures. They will also manage CI/CD pipelines, ensure system security, and provide observability through monitoring tools.
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Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
Design, develop, and maintain robust backend APIs including payment, subscription, and text-to-speech services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
Design, develop, and maintain robust backend services and APIs including payments, subscriptions, and text-to-speech functionality. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise integration needs.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise integration needs.
You will lead the technical design and engineering of complex ServiceNow solutions across multiple modules to drive enterprise-scale automation and AI adoption. The role involves establishing engineering standards, mentoring senior engineers, and partnering with cross-functional stakeholders to ensure platform reliability and performance.
Build and maintain a global, secure, and cost-efficient cloud platform using Kubernetes on AWS to enable engineering autonomy. Develop cloud-native automation, Kubernetes operators, and CI/CD tooling to eliminate operational friction.
Build and evolve internal platforms and services that abstract infrastructure complexity for product teams. Develop automation, integrations, and reusable platform blocks using a 'platform as a product' mindset.
Administer, operate, and optimize Red Hat OpenShift clusters across on-premises and cloud environments to ensure high availability and security. Collaborate with DevOps and SRE teams to implement automation, CI/CD pipelines, and GitOps practices for critical business applications.
Take end-to-end ownership of a scaling data platform, managing the ingestion, transformation, and delivery of analytics for veterinary clinics. This includes designing robust pipelines with Airflow, optimizing Snowflake warehousing, and managing infrastructure via Kubernetes and Terraform.
Create solutions and automation to improve the daily workflow of over 500 engineers. Focus on enabling faster, higher quality, and more secure software delivery through best practices.
Evolve and maintain the cloud-native AI ecosystem including Kubeflow, Feast, and Spark-on-Kubernetes to support scalable AI deployment. Design self-service internal tools and APIs to empower distributed teams to manage their own ML lifecycles.
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Own the foundational health of the PHP monolith, including runtime upgrades, dependency management, and observability. Build shared TypeScript services and event-driven pipelines on GCP to reduce friction for other engineering teams.
You will design and evolve a streaming lakehouse architecture while building distributed pipelines to ensure low-latency data movement. Additionally, you will contribute to self-service and agentic layers to support AI-driven products and cross-functional data needs.
Design and build high-performance visualization platforms and rendering systems for complex blockchain investigative interfaces. Develop reusable frontend infrastructure, SDKs, and libraries to enable data exploration at scale.
You will help build a global, secure, scalable, and cost-effective Cloud platform using Kubernetes in AWS. Additionally, you will develop Kubernetes operators and tools that enable engineering teams to manage their cloud resources autonomously.
You will build AI-driven quality systems and testing infrastructure to support Airbnb's native mobile platforms. This involves developing automated testing frameworks and optimizing CI/CD pipelines to ensure high-quality software delivery.
The role involves defining and maintaining key performance indicators to assess the scalability and limits of a private cloud platform. You will also develop automated pipelines and test workloads to identify performance regressions and ensure system readiness.
You will architect and own the end-to-end reliability of the Command|Alert platform, ensuring high-fidelity alert generation and effective correlation of diverse telemetry data. Additionally, you will mentor engineering teams and drive strategic technical decisions to scale the alerting engine.
You will build internal tools and automation to manage Qdrant Cloud infrastructure at scale. This involves designing systems for cluster provisioning, improving observability, and reducing operational toil.
Develop and maintain scalable full-stack applications and backend services using Node.js and React. Optimize application performance and reliability while mentoring other engineers in a distributed team environment.
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Design, build, and maintain backend systems and APIs for the Wikidata Query Service to ensure scalability and reliability. Monitor production systems, resolve operational bottlenecks, and contribute to deployment automation and CI/CD workflows.
Design and maintain backend systems and APIs for the Wikidata Query Service to ensure high scalability and reliability. Collaborate with SRE and product teams to monitor production systems and implement automation for data pipelines.
You will design and deliver improvements to Wikipedia's wikitext processing infrastructure while balancing performance, maintainability, and user experience. Additionally, you will collaborate with cross-functional teams to iterate on new features and maintain internet APIs using server-side scripting languages.
You will design and maintain high-performance backend microservices and automation workflows to modernize enterprise sales processes. Additionally, you will integrate custom backend solutions with Salesforce and build systems to support AI-driven sales development tools.
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