Kubernetes:44,467 個職缺
瀏覽與 Kubernetes 相關的開放職缺。
Principal DevOps Engineer
Шукаємо Principal DevOps Engineer для роботи над OSINT-проєктом. Про проєкт Проєкт поєднує OSINT та AI, щоб надавати державним організаціям важливу аналітику про технологічне, економічне й оборонно-промислове…
Full Stack Development
Remote full-stack developer maintaining and extending production booking and customer-facing platforms for a German hotel-chain client, working across Node.js, Next.js/React, and TypeScript in a small distributed team on a flexible hourly engagement.
Java Full Stack Developer
Remote Java Full Stack Developer designing and maintaining high-performance Java backend services/APIs and frontend code using Java 17+, Spring ecosystem, JPA/Hibernate, Kafka, microservices, with expected daily use of AI coding assistants like Claude Code and GitHub Copilot.
Staff Architect
Hands-on Staff Architect owning platform architecture and driving AI-enabled capabilities for a fragrance subscription/D2C consumer brand, leading a platform team of two while staying deeply involved in system design and code. Core stack: Java (JVM, Micronaut/Spring Boot), AWS, Kafka, GraphQL/REST, plus LLM/agent-orchestration work.
AI архитектор
Remote AI architect for international work, leading presales, estimates, solution design, engineer guidance, and deadline control. The role uses Python, FastAPI, Kubernetes, LLMs, GenAI, RAG, AI agents, and CI/CD/DevOps/MLOps; applicants must be outside Russia and Belarus and have at least B2 conversational English.
Fullstack Senior Software Engineer (C#, Vue.js) IRC302923
Senior fullstack engineer on a warehouse automation platform, building and maintaining Vue.js frontends and C#/.NET microservices for an online facility configuration product, working in Agile/Scrum teams.
Senior .Net Developer IRC302136
Senior .NET developer building cloud-native healthcare IT platforms for patient identity and safety. Day-to-day work centers on C#/.NET web services with Angular or React frontends, deployed on AWS/Azure with Docker/Kubernetes, in an agile Scrum team.
Java Developer (AI / GenAI)
Backend Java developer building a generative AI platform with RAG pipelines, vector databases (Qdrant), and multi-agent systems on LangChain/LangGraph. Core stack: Java 17+, Spring Boot, PostgreSQL, Docker/Kubernetes, with deep LLM prompt-engineering work.
Oracle Database Administrator
Administer Oracle 19c databases on Linux for Raiffeisen Bank's tech team, handling backup/recovery with RMAN, high availability with Oracle Data Guard, and storage with Oracle ASM in a 24/7 mission-critical environment.
Senior DevOps Engineer
Senior DevOps Engineer at RedCore building and supporting infrastructure on AWS using Terraform, Ansible, Helm, and Kubernetes (EKS), with CI/CD via GitLab CI and ArgoCD GitOps. Day-to-day work includes writing/maintaining IaC, managing K8s clusters, troubleshooting cloud services, and occasional Linux/bash scripting.
Cloud Platform Architect / Technical Lead – AWS/Azure & Kubernetes
En Rawson BPO buscamos un perfil Senior/Lead con más de 6 años de experiencia en tecnología, capaz de ejercer liderazgo técnico transversal sobre diferentes equipos y áreas.La persona deberá definir y gobernar…
DevOps (Senior)
Senior DevOps engineer for a fast-growing iGaming brand, working fully remote from anywhere. Owns Linux/cloud infrastructure, container orchestration (Docker/Kubernetes), IaC, CI/CD pipelines, databases, monitoring/logging, and networking across a global platform.
Senior QA Automation Engineer
Hands-on test automation role to modernise GUI regression suites, cut execution time, migrate CI pipelines to GitHub Actions, and work close to backend teams using AI tools to spot gaps.
Cyber Full-Stack Software Engineer
Full-stack engineer on Deloitte's Cyber Engineering team building next-generation cybersecurity technology. Designs and develops frontend/backend applications with modern cloud stacks and integrates AI/GenAI capabilities across AWS, Azure, or GCP.
GenAI Engineer
Build RAG pipelines and agentic/multi-agent AI systems while developing Python applications for generative AI. Work spans embeddings, indexing, chunking, reranking, GPU optimization, and integrating AI features into broader systems.