60% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions;
Roles remotos de AWS para candidatos en Georgia.
Revisa roles remotos de AWS que aceptan candidatos en Georgia.
Roles remotos de AWS en Georgia con elegibilidad clara
Esta página reúne roles remotos abiertos para candidatos en Georgia. Así evitas perder tiempo con posiciones que parecen remotas, pero restringen contratación por país, zona horaria, nómina o política interna.
Usa AWS como filtro de stack sin cambiar los nombres originales de los cargos, comparando seniority, países aceptados y preparación para aplicar.
- Confirma que tu país aparezca como ubicación aceptada antes de aplicar.
- Compara stack, seniority y flujo de aplicación.
- Crea alertas para seguir nuevos roles abiertos en Georgia.
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Roles filtrados
DevOps Engineer- Remote
Sentara Health · Developer
Design, develop, and maintain Azure cloud infrastructure using Terraform (IaC-first approach)
Partner Solutions Architect (GSI)- AMER East
Datadog · Channels & Alliances
Ensure the successful onboarding, training, enablement, and certification of partner technical resources
Design, build, and maintain scalable, high-quality UI components, features, and reusable component libraries that contribute to our evolving design system.
Data Engineer
Remedy Product Studio · Data Science
Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
Architect a Greenfield System: Lead the greenfield development, owning the architecture and technical vision for the V1 Trust Accounting product.
Lead Security Engineer
Remofirst
1. Identity & Access Management (The Core)
Lead Data Engineer
Exadel
Review available data sources, access patterns, interfaces, and integration options
Database Reliability Engineer
Sporty Group
Relational Databases: AWS Aurora MySQL/PostgreSQL
Lead Machine Learning Engineer
Janea Systems · Data Science
8+ years of experience in software engineering, machine learning engineering, or applied AI.
Data Engineer
Remedy Product Studio · Data Science
Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
Partner Enablement & "Train the Trainer": Conduct technical training sessions and workshops to certify partner engineers.
Director of Platform Engineering
Emergent Software · Developer
Own the developer experience across tooling, AI integration, CI/CD, and governance
Senior Full Stack Engineer
Graswald
Software Design & Quality: Design and optimize scalable backend systems and high-performance frontend applications, ensuring security, performance, and maintainability.
SRE Platform Engineer
GE Vernova · Developer
Kubernetes Cluster Orchestration: Help design and deploy hardened EKS clusters across multiple AWS regions, ensuring consistent security baselines.
Security Operations Engineer
Supabase · Security
First Response & Triage: Act as the first responder for security alerts from GuardDuty, dependency advisories, and other detection sources.
Python and Kubernetes Software Engineer- Data, Workflows, AI/ML & Analytics
Canonical · Charm Engineering
Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
Cloud Solutions Architect- Alliances
Canonical · Field Engineering
Understand Ubuntu, Linux, networking and services in real-world environments
Cloud Field Engineering Manager
Canonical · Field Engineering
Lead and develop a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services
Cloud Field Engineer
Canonical · Field Engineering
Work across the entire Linux stack, from kernel, networking, storage, to applications
Alliances Field Engineer
Canonical · Field Engineering
Understand Ubuntu, Linux, networking and services in real-world environments
AI Engineering Manager: Marketing & Personalization AI
Unifonic · Developer
Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
Own end-to-end delivery of production AI and ML systems from experimentation to deployment.
You’ll own end-to-end execution for backend systems and infrastructure
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