AWS：77,704 個職缺
瀏覽與 AWS 相關的開放職缺。
DevOps Engineer
DevOps Engineer at a Stockholm-based consulting company, building and maintaining CI/CD pipelines, cloud infrastructure, and monitoring for client projects. Core stack: Docker, Kubernetes, AWS/Azure/GCP, GitLab CI/Jenkins/CircleCI, Prometheus/Grafana/ELK, Bash/Python.
Middle DevOps Engineer
A Middle DevOps Engineer designing and maintaining AWS-based cloud infrastructure (ECS, Lambda, S3, Bedrock), CI/CD pipelines, Docker/Kubernetes workloads, and infrastructure-as-code with Terraform/Ansible.
Technical Solutions Architect - Enterprise Imaging
Join a tech company that’s making a difference in healthcare At Sectra, we take pride in being a market leader in medical IT and secure communications. Our customers operate in some of society’s most critical…
Senior DevOps Engineer (AWS)
Designs, builds, and operates scalable, highly available AWS infrastructure using Terraform; manages CI/CD pipelines with Jenkins and GitHub Actions; deploys and runs containerized workloads on Amazon ECS/Fargate and Kubernetes, with a focus on autoscaling, reliability, and observability.
Architect – Agentic AI Engineering
Architect for agentic AI systems: designs Python backend services, builds multi-step AI agent workflows with LLMs, deploys on AWS/Azure, and refines AI prototypes into scalable production systems with prompt engineering, observability, and documented APIs.
AI Data Engineer - Early Career
Early-career AI Data Engineer at DarioHealth building dashboards, KPIs, and ETL/ELT pipelines while contributing to AI-enabled automation. Day-to-day work involves writing Python and SQL, maintaining data models and warehouses, and ensuring data quality and reliability.
Senior Machine Learning Engineer (LLMs)
Senior ML engineer focused on designing and deploying production LLM and generative-AI pipelines — optimizing inference, building RAG and agent systems, and applying MLOps — using Python, PyTorch, AWS/GCP/Azure, and vector databases.
Strong Middle AI-Native SDET
Middle SDET using AI agents throughout the SDLC — from test design and code exploration to failure analysis and CI runs — building API, UI and E2E automation for web and mobile apps primarily in TypeScript/JavaScript or Python.
Senior AI Engineer
Senior AI Engineer at Adaptiq building agentic AI capabilities for a maritime intelligence platform that fuses geospatial data into a digital twin for commercial and government use. Day-to-day work spans LLM/RAG system design, autonomous agent development, Python backend services, and production AI deployment on AWS/Kubernetes.
Junior DevOps Engineer
Junior DevOps Engineer at software house Acaisoft, embedded with an American multinational payments client. Day-to-day work centers on Kubernetes, CI/CD pipelines, and AWS infrastructure in a fully remote setup.
Solution Engineer
Designs and operates production-grade data pipelines and data products on AWS and Snowflake for a global investment management firm, owning architecture through deployment while using AI-assisted engineering as a daily practice.
Cleared ETL Data Engineer (Multi-Level)
Responsibilities Noblis is seeking Data Engineers at multiple levels to join our team in support of national security missions. As the ETL Developer, you analyze our clients’ challenges and provide solutions by…
Software Engineer ML/Gen AI Platform Support
Senior engineer who designs, builds, and maintains an internal Machine Learning and Generative AI platform on AWS (SageMaker, Bedrock), creating shared tooling, IaC, CI/CD, and observability that lets other teams build, deploy, and operate ML and GenAI solutions at scale.
DevOps Engineer
Remote DevOps role at a product company building a complex modular iGaming B2B platform (400+ services, ~1M daily transactions, 99.9% SLA). Focus spans architecture, automation, security, and building custom infrastructure modules on AWS, GCP, and Kubernetes within a newly formed DevOps team.
System Administrator
On-site System Administrator at Temy (software outsourcing) in Lviv, owning internal IT infrastructure—Google Workspace, Windows/macOS endpoints, MikroTik networking, Linux servers, and AWS/DigitalOcean cloud accounts—while supporting employees and rolling out security improvements.