開發維運:19,023 個職缺
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Senior Cloud Platform Engineer (AWS/GCP)
Lead engineer on Ensono's Public Cloud Product Engineering team, building repeatable AWS/GCP managed cloud services and defining technical standards. Drives IaC automation, onboards new cloud services, and acts as SME supporting cloud operations and pre-sales architects.
Middle DevOps Engineer
Spendbase is hiring a Middle DevOps Engineer to build, maintain, and scale the cloud infrastructure behind its LLM API product — an open-source AI inference platform. Day-to-day work spans AWS, Kubernetes, Helm, Docker, CI/CD pipelines, ClickHouse data infrastructure, and incident troubleshooting for high-load systems.
Architect - Platform Engineering - USA
Architect-level role designing enterprise ML/LLM platforms on Google Cloud for a 4000+ AI/ML consulting firm. The architect owns MLOps/LLMOps pipelines (Vertex AI, GKE), model lifecycle, CI/CD automation, and observability across client engagements.
Senior AI DevOps Engineer
Design and maintain AI-driven, autonomous CI/CD pipelines for Roku's mobile apps (iOS/Android) using GitLab CI, Xcode, Gradle, Python, and Bash. Own QA automation infrastructure, device orchestration, code signing, and app store submission with zero manual steps.
Senior Software Engineer, MLOps/SRE
Senior MLOps/SRE engineer on Roku's Advertising Performance team, designing and operating cloud-native ML infrastructure on GCP and AWS using Kubernetes, Spark, Airflow, Ray, and MLflow to power large-scale, low-latency training and inference for ads optimization.
Senior Software Engineer - Devops
Senior SRE/Platform Engineer on Roku's Ads Customer Interfaces team owning cloud infrastructure, Kubernetes (EKS/GKE), CI/CD, observability, and ETL pipelines for ad automation, including GenAI services. Blends Python software engineering with Terraform-driven infra on AWS/GCP.
Senior DevOps Engineer
Senior DevOps Engineer designing, implementing, and evolving AWS cloud-native infrastructure and CI/CD platforms that power consumer-facing digital products, leveraging Terraform, Kubernetes, container orchestration, and AI-driven tooling to drive automation, observability, and operational excellence.