Veja vagas remotas de AWS que aceitam candidatos em Estados Unidos.
Esta página reúne vagas remotas abertas para candidatos em Estados Unidos. Isso evita perder tempo com posições que parecem remotas, mas restringem contratação por país, fuso horário, folha de pagamento ou política interna.
Use AWS como filtro de stack sem alterar os nomes originais dos cargos, comparando senioridade, países aceitos e prontidão para aplicação.
Administer, monitor, and support cloud and platform services, virtual infrastructure, and hosted applications to maintain system health, availability, and performance.
Guidehouse · Developer
We are seeking an experienced AWS Security engineer to design, implement and maintain security controls across AWS cloud environments.
goPro Consultancy Group ltd. · Developer
Work with an agile team to implement process automation for MEAN platform apps
Virtasant · Developer
Pick up infrastructure change requests from engineering teams: Terraform PRs reviewed and applied through Atlantis, service configuration, IAM and permissions changes, resource right-sizing (CPU/memory)
Deepgram · Engineering
Architect and maintain our core computing platform using Kubernetes on AWS and on-premise, providing a stable, scalable environment for all applications and services.
Block · 10416 Engineering - Business Platform
Design integrations across enterprise business systems, including Salesforce, Oracle Cloud, Snowflake, Looker, and external partner systems using MuleSoft or other Integration iPaaS platform
Circles · Developer
Circles.Life: A wholly-owned digital lifestyle telco brand based in Singapore, Circles.Life is powered by Circles’ SaaS platform and pioneering go-to-market strategies.
CenturyLink
Implement AI systems and automations to assist during ongoing outages and triage potential ones. You will work with the development teams to ensure that they have all the data normally needed during an outage at their fingertips including
Akumin · Developer
Monitoring and Incident Response: Establish monitoring and detection mechanisms to identify potential threats, and lead or assist in responding to incidents.
Help define and improve the processes and best practices for incident management within the customer facing applications.
Bloom Growth
Manage and optimize our AWS cloud infrastructure for reliability, scalability, and performance
Compass Group USA
Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.
Espresso Systems · Developer
Monitoring and management of cloud environments (AWS, Azure, GCP)
Implement best in class cloud-based solutions in AWS using infrastructure as code
Architect, upgrade, design, and build scalable infrastructure solutions leveraging Kubernetes, AWS, RDS (MySQL/Postgres), and modern distributed patterns.
Sphera · Developer
Design, implement, and maintain CI/CD pipelines to support automated build, test, deployment, and release processes.
Implement best in class cloud-based solutions in AWS using infrastructure as code
Application security: Lead application security across the product portfolio - threat modeling, secure design reviews, code-review support, and hands-on remediation work alongside developers.
Veeam Software · Developer
Get up to speed on VDC workloads, dependencies, and operational workflows by reading code, docs, and working with SMEs.
Honor · Data Science
Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS.
Own and evolve the edge proxy platform by maintaining, upgrading, and extending a high-performance reverse proxy — including maintaining the proxy binary and its configuration tooling, writing Go and Python automation
Cayuse · Developer
Assist in the end-to-end vulnerability management lifecycle: discovery, triage, prioritization, remediation tracking, and reporting across applications, containers, and cloud infrastructure.
Sentara Health · Developer
Design, develop, and maintain Azure cloud infrastructure using Terraform (IaC-first approach)
Pipeline Automation: Design, implement, and manage automated CI/CD and Continuous Training (CT) pipelines for machine learning model development, evaluation, and delivery.
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