Docker：34,527 個職缺
瀏覽與 Docker 相關的開放職缺。
Java Technical Lead (System Design)
Java Technical Lead designing and developing scalable backend services for a large-scale US e-commerce platform, focusing on integrations, inventory sync, pricing, order processing, and marketplace APIs using Java, Spring, Hibernate, and REST/SOAP.
Java Backend Developer – Spring Boot y Cassandra | 100 % remoto
Backend developer designing and maintaining Java/Spring Boot microservices with Cassandra databases, REST APIs, and Docker/OpenShift deployments in a fully remote, long-term project based in Madrid.
Mid Backend Developer (Python → RoR)
B2B backend developer role building computational models for solar panel performance and energy optimization, primarily in Ruby on Rails but open to strong Python developers willing to learn RoR, with hybrid on-site collaboration in Gliwice.
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.
Data Platform Engineer
Data Platform Engineer at Harman International building data lakehouse architectures, ingestion pipelines, and data APIs to curate datasets for AI/ML, with responsibility for governance, data quality, and pipeline reliability.
Junior Embedded Software Developer (w/m/d) für SIMATIC S7 Automatisierungssysteme
Junior embedded software role at Siemens developing firmware for SIMATIC S7 automation systems and Industrial Edge applications on real-time operating systems, with a focus on functional safety and software lifecycle.
Integration Engineer - Machine Learning
Integrate machine learning models into OneRail's flagship logistics product, deploying and maintaining ML-powered features while contributing to back-end services and React-based front-end components. Core tech: Python, TypeScript, React, Kafka, Docker.
Senior SDET — Data Platform / Query Engine
Lead the test strategy for a distributed enterprise data-lakehouse query engine as a Senior SDET, architecting Python/pytest frameworks, CI/CD in Jenkins, and Kubernetes-based test environments across GCP/AWS/Azure.
Senior Software Engineer — Query Engine / Data Platform
Senior engineer designing and owning core components of a distributed SQL query engine for an open enterprise data lakehouse platform, working in Java and/or C++ on query planning, optimization, execution, and integration with columnar formats like Apache Iceberg.
Backend Tech Lead
Backend Tech Lead at product company JATAPP owning backend and DevOps technical strategy, leading a platform team via second-line management, and serving as technical authority for payment flows, S2S attribution, App2Web/Web2App infrastructure, and high-load systems across a 20+ product portfolio.
Technical Program Manager
Technical Program Manager at Peratera coordinating end-to-end delivery of complex technical programmes across multiple Engineering teams for a cloud-native payments platform. Drives planning, dependencies and governance in a Java/Spring Boot, AWS, Kubernetes stack.
Senior Automation QA Engineer with Python
Senior Automation QA Engineer designing Python-based automated test frameworks for ultra-low latency trading systems and exchange connectivity solutions, validating market data and order flows across global financial venues.
Senior Java Developer
Senior Java Developer at Luxoft building a banking information and processing platform from scratch; day-to-day work involves writing well-tested Java code and SQL, automating the dev environment with Jenkins and Bash, peer code review, and evaluating new tools.
Senior Angular Developer
Senior Front-End Developer building a low-latency, highly reliable Angular platform on AWS, owning end-to-end delivery with Java 17+ backends and full-stack responsibility for CI/CD, observability, and security.
ML Engineer
ML Engineer designing and shipping AI agents and multi-agent architectures on Python/LLM frameworks (LangChain, LangGraph) for a major Russian bank's marketing tech project. Day-to-day: build async backend services, integrate via REST, Kafka and Model Context Protocol, and implement RAG with vector databases.