Roles remotos de Kubernetes con elegibilidad por país
Ubicación del candidatoPaís visibleFoco de stackKubernetesRevisión MiraElegibilidad por país
Esta página reúne roles remotos con elegibilidad de ubicación visible para profesionales de desarrollo, datos, DevOps, QA, soporte y otras áreas de TI.
Usa Kubernetes como filtro de stack sin cambiar los nombres originales de los cargos, comparando seniority, países aceptados y preparación para aplicar.
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Acepta candidatos: Estados UnidosAplicación en sitio de empresa Agregado recientemente
Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
Acepta candidatos: Estados UnidosAplicación en sitio de empresa Agregado recientemente
Define and execute on the long-term ML technical vision and strategy for the Trust organization, identifying key investments, architecting scalable solutions, and championing best practices that advance the state-of-the-art in production
Acepta candidatos: Estados UnidosAplicación en sitio de empresa Agregado recientemente
As a machine learning engineer or scientist, your expertise will be pivotal in developing AI-powered solutions to shape the future of the Airbnb agentic growth platform with cutting-edge AI techniques.
Acepta candidatos: Estados UnidosAplicación en sitio de empresa Agregado recientemente
Design, build, and operate high-scale data ingestion and replication systems from Samsara’s primary production data stores, including RDS, DynamoDB, internal APIs, and event-driven systems, into our data lakehouse.
2 países aceptadosAplicación en sitio de empresa Agregado recientemente
Design, build, and operate high-scale data ingestion and replication systems from Samsara’s primary production data stores, including RDS, DynamoDB, internal APIs, and event-driven systems, into our data lakehouse.
Acepta candidatos: Estados UnidosAplicación en sitio de empresa Agregado recientemente
Guide the design, implementation, and evolution of a unified data collection platform using Golang, Kubernetes, ClickHouse, and NATS, with success measured by reliability, performance, and adoption across GitLab teams.
Acepta candidatos: Estados UnidosAplicación en sitio de empresa 19 jul
Design, develop, and maintain scalable data pipelines and ETL processes to ingest, transform, and enrich large volumes of chemical and biological threat data from diverse sources.
Acepta candidatos: Estados UnidosAplicación en sitio de empresa 19 jul
Model Development:Design, develop, and implement machine learning models and AI algorithms tailored to industry-specific use cases, particularly in predictive analytics, natural language processing, and computer vision.
Acepta candidatos: Estados UnidosAplicación en sitio de empresa 18 jul
Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AI operations platform
Acepta candidatos: Estados UnidosAplicación en sitio de empresa 18 jul
Collaborate with cross-functional partners (Product Managers, Data Scientists, Data Engineers, Software Engineers, Business teams) to build data and Machine Learning products
Acepta candidatos: Estados UnidosAplicación en sitio de empresa 15 jul
Agentic Semantic Layer: Build the system that gives AI agents the context to query enterprise data correctly and the guardrails to prove their results — raising the bar for trustworthy, AI-generated analytics.
Acepta candidatos: Estados UnidosAplicación en sitio de empresa 14 jul
Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines using technologies such as Apache Airflow or Benthos.
Acepta candidatos: Estados UnidosAplicación en sitio de empresa 13 jul
Design, build, and operate end-to-end data pipelines (batch and near-real-time) that ingest, transform, and deliver data from diverse sources into the enterprise data platform.
Acepta candidatos: Estados UnidosAplicación en sitio de empresa 13 jul
Building and maintaining production-grade data pipelines in cloud data warehouses such as Google BigQuery or equivalent, following architectural standards set by the Director of Data and AI.
Acepta candidatos: Estados UnidosAplicación en sitio de empresa 13 jul
Stand up and operate BetMGM's ML platform on AWS (SageMaker Training, Model Registry, Pipelines, Endpoints, Batch Transform) and Snowflake (Snowpark ML, Cortex), with Terraform-managed infrastructure.
4 países aceptadosAplicación en sitio de empresa 11 jul
Build and operate pipelines: Design, build, and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently.
4 países aceptadosAplicación en sitio de empresa 10 jul
Build modern web applications - Design, develop, and maintain full-stack applications using React, JavaScript/TypeScript, Node.js, and AWS technologies.
Acepta candidatos: Estados UnidosAplicación en sitio de empresa 9 jul
Build and maintain scalable data services, pipelines and storage solutions for the feedback of unstructured application data for ML training and evaluation purposes.
Acepta candidatos: Estados UnidosAplicación en sitio de empresa 5 jul
Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
Acepta candidatos: Estados UnidosAplicación en sitio de empresa 5 jul
Design, build, and continuously refine scalable batch and real-time data pipelines using Python, SQL, Spark, Scala, or equivalent technologies, ensuring reliable, efficient
Acepta candidatos: Estados UnidosAplicación en sitio de empresa 5 jul
Optimize Inference: Build and tune production LLM serving with vLLM and SGLang—maximizing throughput and minimizing latency through batching, paged attention, quantization, and KV-cache strategies
Acepta candidatos: Estados UnidosAplicación en sitio de empresa 4 jul
You partner with product managers, internal stakeholders, and other development and support teams to design new integrations, services, and solutions for scaling Beacon's data platform
Acepta candidatos: Estados UnidosAplicación en sitio de empresa 4 jul
Pipeline Automation: Design, implement, and manage automated CI/CD and Continuous Training (CT) pipelines for machine learning model development, evaluation, and delivery.
Acepta candidatos: Estados UnidosAplicación en sitio de empresa 3 jul
Applies expertise in applied AI, model, API, and pipeline creation, as well as the presentation of data to see beyond the numbers and understand how our users interact with our core products
Acepta candidatos: Estados UnidosAplicación en sitio de empresa 3 jul
Design and Develop ML Models for high impact engineering solutions. Build, train, and optimize machine learning and deep learning models to solve complex problems using natural language processing, computer vision
3 países aceptadosAplicación en sitio de empresa 2 jul
Team Leadership & People Management: Lead, manage, and grow a distributed team of data engineers (across North America and India) who report directly to you.