Docker：34,728 個職缺
瀏覽與 Docker 相關的開放職缺。
System Administrator / Infrastructure Engineer
Remote sysadmin/infrastructure engineer owning the full IT stack — Mikrotik/UniFi networking, Proxmox cluster, Linux and Windows Server, Zabbix/Grafana monitoring, backups, video surveillance, and Google Workspace administration — with occasional on-site trips to Kyiv Oblast.
Lead Automation QA Engineer
Lead AQA Engineer defining and driving the test automation strategy for a telecom/digital services platform serving millions of users, while staying hands-on building frameworks with Playwright, TypeScript, WireMock on Docker/Kubernetes and AWS. Mentors the AQA team and introduces AI-assisted automation practices.
Full-Stack Engineer (Node.js + React + AI)
Senior full-stack engineer building scalable Node.js backends and React/Next.js frontends for iGaming and Web3 products, integrating AI-powered features using LLM APIs and agent workflows.
Middle / Senior Java Developer
Middle/Senior Java Developer building scalable backend services for iGaming and Web3 gaming platforms using Java 17/21, Spring Boot, microservices, PostgreSQL/MySQL, Kafka, Docker, Kubernetes, and AWS. Fully remote within Europe, collaborating across an international product engineering team.
Senior Data Scientist
Senior Data Scientist analyzing sensor and telematics data to build predictive and prescriptive models. Drives AI/ML roadmaps, designs experiments, implements streaming inference and anomaly detection, and applies MLOps across the model lifecycle.
AI Engineer bei HUB.KI (all genders)
Build and develop an AI agent platform, including RAG systems and agentic AI architectures. Core work involves orchestrating large language models, implementing tool calling integrations, and owning the full end-to-end development cycle including testing and documentation.
Business Support Engineer - AdTech
- Analyze trends and recommend improvements - Automate troubleshooting with AI tools - Build deploy and optimize AI solutions - Collaborate with Platform and Infrastructure teams to resolve issues - Communicate AI…
Data/Machine Learning Architect
Senior architect designing and delivering enterprise-scale data and machine learning platforms on Microsoft Azure for a greenfield digital banking initiative, owning end-to-end architecture, MLOps, data governance, and scalable ML pipelines.
Support Engineer
Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps,…
AI Engineer (AWS Bedrock is a must)
Remote AI Engineer role building production-grade GenAI systems on AWS for startup clients, focused on RAG pipelines, multi-agent workflows, and LLM-powered backend services. Core stack: AWS Bedrock, OpenSearch, Lambda, SageMaker, Python, LangChain/LlamaIndex.
Технический архитектор
Technical architect at Bell Integrator on a large bank project. Designs and reviews architectural solutions for the architecture board, estimates IT infrastructure costs, and coordinates technical details across projects built on Linux, Kubernetes, Docker, and Apache Kafka.
Data Engineer
Data Engineer building end-to-end Spark/PySpark ML data pipelines for a retail system that flags stock-out situations and sales anomalies in near real-time, processing 200M+ rows daily from ERP, online/offline sales, and external APIs.
SRE-инженер
SRE engineer at Bai-Tushum Bank in Bishkek, administering Linux servers and Kubernetes clusters, building CI/CD pipelines, automating infrastructure with Ansible/Terraform/Helm, and operating the monitoring stack (Prometheus, Grafana, Zabbix, ELK, Loki).
Cloud Architect
AWS Cloud Architect at Ericsson in Bangalore designing CI/CD pipelines, monitoring blueprints, and cloud infrastructure automation for an internal 'as a service' portfolio. Day-to-day work spans Terraform IaC, AWS services (EKS, Lambda, S3, IAM, API Gateway), Kubernetes/Docker/Helm, GitLab CI, and GitOps tooling (ArgoCD, Flux).
Software Engineer Java & React (inglés)
Build and maintain a gambling-sector software product using Java/Spring microservices on the backend and React/Angular/TypeScript on the frontend. Participate across the full SDLC with CI/CD, Docker/Kubernetes, and Kafka/RabbitMQ in an AI-first agile environment.