Cloud Data Architect Jobs in New York
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TechOps / DevOps Engineer
Your Future Role:Support and administer JFrog applications. Support and administer Atlassian Data Center applications. Investigate, triage, and resolve incidents, service requests, and user issues in a timely and professional manner. Monitor platform health, performance, availability, and usage trends across the development tooling estate. Contribu...
Technology Solutions Engineer
Technology Solutions EngineerNew York, NY | Hybrid (4 Days Onsite)We're partnering with a leading multi-strategy investment firm seeking a Technology Solutions Engineer to join a highly visible team supporting front-office users and business-critical technology platforms.This role sits at the intersection of production engineering, platform enginee...
Senior SQL Database Engineer
The organization is seeking a Senior Database Platform Engineer to help design, build, and support a modern database platform. This role emphasizes automation, infrastructure-as-code, and declarative database management practices. The successful candidate will create scalable solutions that reduce manual operational effort while ensuring consistenc...
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Post-Training Research Engineer
Post-Training Research EngineerNYC, hybrid We're partnered with a highly technical, research-driven quantitative firm that's been investing heavily in next-generation AI capabilities and looking to add a Post-Training Research Engineer to a growing team at the intersection of machine learning research and large-scale systems.In this role, you'll he...
Kubernetes Tech Lead
Must be based in the Continental United States8+ years of Platform Engineering, Infrastructure Engineering, SRE, DevOps, or Kubernetes Engineering experienceDeep hands-on experience building, scaling, and operating Kubernetes platforms in productionStrong understanding of Kubernetes architecture, networking, storage, security, and cluster lifecycle...
Senior Data Engineer
ResponsibilitiesBuild and optimize scalable data pipelines and data products.Develop reliable datasets for analytics, reporting, and AI applications.Establish data engineering standards, frameworks, and best practices.Improve data quality, monitoring, testing, and platform observability.Integrate and reconcile complex datasets from multiple sources...