Kubernetes：44,439 個職缺
瀏覽與 Kubernetes 相關的開放職缺。
Machine Learning Engineer
A remote Machine Learning Engineer designs and implements ML models, collaborates with data scientists and engineers to integrate algorithms into products, and experiments to improve model performance. Core stack includes Python, TensorFlow, Scikit-learn, deep learning, NLP, and AWS.
SRE/Cloud Engineer/ Devops
Keeps applications available, scalable, and observable by automating cloud infrastructure, managing infrastructure as code, and leading platform modernization and system migrations. Core tools include Docker, Kubernetes, Terraform, Azure, Grafana, Prometheus, and CI/CD.
Ai/ml Engineer
Onsite AI/ML Engineer building scalable computer vision and machine learning solutions for the ExpertsHub project, including object detection and image segmentation models using Python, TensorFlow, and PyTorch.
Azure DevOps Engineer
Role Summary We are seeking an Azure DevOps Engineer to join our project, ExpertsHub, and make a significant impact in the IT industry. This role will focus on enhancing our DevOps practices and ensuring the…
Java Developer
Designs and develops scalable backend systems using Java and Spring Boot within a microservices architecture, building RESTful APIs and collaborating with cross-functional teams. Core stack: Java, Spring Boot, Microservices, REST APIs, Kafka/RabbitMQ, Docker, Kubernetes.
Gcp Data Engineer
Builds scalable data pipelines on Google Cloud using Dataflow, Java, Docker, and Kubernetes. Focuses on cloud-native data processing and containerized deployments within GCP architecture.
Full Stack Engineer
Remote Full Stack Engineer focused on backend-heavy work with C#/.NET on Google Cloud, building scalable cloud-native applications using containerized environments and GCP data services like Spanner and Bigtable.
Azure Solutions Architect
A leadership role focused on architecting and leading the design of scalable Microsoft Azure cloud solutions, guiding technical teams across IaaS/PaaS/SaaS, integration services, Infrastructure as Code, and DevOps practices for enterprise environments.
python developer
Python Developer building and maintaining scalable Flask/Django applications with machine learning integrations (TensorFlow/PyTorch), GraphQL APIs, and microservices architecture in a CI/CD, Docker, and Kubernetes environment based in Pune, India.
Machine Learning Engineer
Remote Machine Learning Engineer designing and deploying deep learning models (CNN, RNN, LSTM) and MLOps pipelines using Python, Kubernetes, and Apache Spark for distributed training at scale.
Machine Learning Engineer
Hybrid ML Engineer in Alpine County, CA, designing CNN/RNN/LSTM architectures and building MLOps pipelines with distributed training on Kubernetes and Spark. Hourly 6-month contract, up to $50/hr.
Consultant – AI, LLM/SLM & Scalable ML Systems
Remote AI Consultant guiding a team to build and deploy scalable ML/LLM/SLM applications end-to-end, covering model training (RoPE, MoE, RLHF, vLLM), RAG pipelines, custom agents, multimodal AI, and production MLOps on Kubernetes/GPU clusters.
MLOps / AI DevOps Engineer
Design and maintain scalable backend services and REST APIs (FastAPI, microservices) powering AI-driven applications, including MCP servers, real-time streaming via LiveKit, and orchestration with Airflow/Celery, while owning CI/CD pipelines.
QA Automation Engineer
Designs and executes automated test suites for AI models, REST APIs, and CI/CD pipelines using Python (PyTest/Unittest/Robot Framework), ensuring model validation, data integrity, and reliable deployments of AI-driven applications.
Backend App Developer
Backend developer designing and maintaining FastAPI microservices, MCP integrations, and real-time APIs that power AI-driven applications, collaborating with AI, ML, and DevOps teams to ship production-ready services.
Machine Learning (ML) Engineer
ML Engineer integrating and deploying AI/ML models into production at an AI company, optimizing inference pipelines, managing CI/CD, and building agentic and multimodal (text/vision/audio) workflows using Python, PyTorch, TensorFlow, FastAPI, LangGraph, and Docker/Kubernetes on AWS/GCP/Azure.
Senior Software Engineer
Design, build, and scale the backend of AI-powered recruiting products, including data-driven applications, REST and WebSocket APIs, real-time pipelines, and third-party integrations. Day-to-day work centers on Python, FastAPI, MongoDB, vector databases, Celery/Redis, and Docker on Kubernetes/AWS.
Forward Deployed Engineer
Forward Deployed Engineer implementing Palantir Foundry & AIP solutions for clients—driving data integration, ontology design, OSDK, and platform governance using Python, TypeScript, React, PySpark, and cloud/data tooling.
Mlops Engineer
Lead the architecture and development of complex, high-scale ML systems while driving technical decisions and mentoring teams. Core stack includes Python, AWS SageMaker, Kubernetes, MLflow, Kubeflow, Docker, TensorFlow, and CI/CD pipelines for end-to-end MLOps workflows.