"azure" Jobs
280 open tech roles matching “azure”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AWS, Azure, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 280 results
Join Anthropic as a Staff Engineer to lead the operational journey of datacenter servers, focusing on automation and security.
Own the roadmap for Databricks' Data Intelligence Platform in the US Public Sector, ensuring compliance and driving adoption across government agencies.
Own the strategy and execution for CoreWeave's data services portfolio, shaping the future of data in AI cloud environments.
Join Grafana Labs as a Staff Backend Engineer to build core backend services for an AI-native data intelligence system in a fully remote environment.
Join Redpanda as a Staff Software Engineer to design and build systems for the Agentic Data Plane in a hybrid role based in San Francisco.
Join Anthropic's Inference team to design and maintain distributed systems serving AI models to millions globally.
Join Fivetran as a Senior Staff Software Engineer to enhance product performance and collaborate with cross-functional teams in a hybrid role.
Join Blitzy as a Staff Software Engineer to drive technical work on our AI software development platform in a fast-paced environment.
Lead strategic initiatives in identity and security at MongoDB, shaping authentication and access control for enterprise solutions.
Join Grafana Labs as a Staff Backend Engineer to build innovative observability tools in a fully remote environment.
Join Fivetran as a Staff Software Engineer to lead the Metadata team in building data pipelines for the modern data stack.
Join Grafana Labs as a Staff AI Engineer to develop AI-driven observability tools in a fully remote environment.
Join Databricks as a Staff Forward Deployed Engineer to tackle big data challenges and deliver tailored solutions across cloud environments.
Join Fivetran as a Senior Staff Systems Engineer to lead the development of AI-powered applications and enhance data infrastructure.
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