Veja vagas remotas de AWS que aceitam candidatos em Reino Unido.
Esta página reúne vagas remotas abertas para candidatos em Reino Unido. 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.
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
MongoDB · Solutions Consulting
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role.
Canonical · Field Engineering
Work across the entire Linux stack, from kernel, networking, storage, to applications,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
CenterWell Senior Primary Care
Bachelor's degree and 8+ years of technical experience in data engineering OR Master's degree and 4+ years of experience.
Fortis Games · Developer
Design, implement, test, and tune detections across endpoint, identity, cloud, SaaS, network, and application telemetry.
MotherDuck · Engineering
Own and evolve our Kubernetes platform, including cluster architecture, upgrades, multi-tenancy, and workload isolation
Athos Commerce · Data Science
A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
Robots & Pencils · Data Science
Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes
Design and maintain self-service tooling, templates, and scaffolding that allow engineers to provision and deploy serverless resources independently.
Oddball · Data Science
Build and maintain data marts, materialized views, and data pipelines within an AWS Aurora PostgreSQL environment
Midnite · Data Science
Take ownership of end-to-end data engineering projects.
Honor · Data Science
Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS.
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions
AB InBev · Data Science
Knowledge of Azure cost drivers (AWS/GCP is a plus).- Ability to prioritize initiatives by ROI and business impact.- Strong problem-solving and execution in fast-paced environments.
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
Kainos · Data Science
Working to develop data processing software primarily for deployment in Big Data technologies. The role encompasses the full software lifecycle including design, code, test and defect resolution.
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