Jobs
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Senior Software Engineer, Google Cloud Storage, AI/ML”. A match may be a passing mention rather than the job itself. Titles only.
14 roles
…Experience with building pluggable modular software that allows code decouplings. Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform. Knowledge of…
…ML platform that abstracts complex cloud infrastructure for end-users. About You Experience: 4+ years of professional experience in ML Infrastructure, Backend Platform Engineering…
…GKE, Cloud Run, Cloud Storage). - Typescript for service or UI integrations. - Postgres for application data modeling and performance. - Experience with ML/AI platforms, agents…
…You will design, develop, test, deploy, maintain, and enhance software solutions. The Cloud CISO Security Engineering (CCSE) team builds the systems that keep Google…
…AI (AI-Native development) to deliver exceptional customer value. About the Job We are seeking a highly motivated and skilled Senior II MLOps Engineer…
…Partner with ML engineers to operationalize AI capabilities, building the runtime infrastructure and orchestration systems that power AI agents at scale Data & Storage Solutions…
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another…
…to the cloud - 4+ years working with AWS specializing in compute, storage, databases, ML/AI, and analytics - 4+ years experience architecting cloud solutions in…
…ve briefed senior engineering leadership on trade-offs and recommendations. AI-Native: You treat AI as a core part of your engineering workflow, not…
…ve briefed senior engineering leadership on trade-offs and recommendations. AI-Native: You treat AI as a core part of your engineering workflow, not…
…10+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles. Have a track record of leading technical strategy and…
…like GCP, Databricks, BigQuery, DataProc, Kafka, Kubernetes, Spark, DataFlow, Google Cloud Storage, and Airflow. - Excellent written and verbal communication skills tailored for diverse audiences…
…BONUS - Experience across on-prem, private cloud, and public cloud environments - Familiarity with storage systems, embedded databases, or filesystem abstractions - Experience with code execution…
…Proven technical responsibilities at companies specializing in data storage and warehousing (e.g. Databricks, Snowflake) Background in building solutions on Amazon AWS, Google Cloud…