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Database architect Jobs in Buckeye, AZ

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Database architect • buckeye az

Last updated: 5 days ago

Remote Cloud Computing Expert - AI Trainer ($55-$75 per hour)

MercorBuckeye, Arizona, US
Remote
Full-time

Role Overview** Mercor is partnering with leading AI labs on **Project Atlas** — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in.We're ... Show more

Remote Software Engineer (AI-Native Platform & Integrations) - AI Trainer ($70-$110 per hour)

MercorBuckeye, Arizona, US
Remote
Full-time +2

About Mercor’s talent network** **This is an open application for future contract opportunities that match your background and interests.Once you complete your profile and pass our AI interview, yo... Show more

Speech Language Pathology Assistant

The Odyssey Preparatory AcademyBuckeye, AZ, United States
Full-time

Speech-Language Pathology Assistant.The Speech-Language Pathology Assistant is support personnel that performs tasks prescribed, directed, and supervised by ASHA-certified Speech-Language Pathologi... Show more

Adecco: Onsite Supervisor

TAG AdeccoBuckeye, Arizona, United States
Full-time

The Onsite Supervisor acts as the candidate's/associate's employment agent (i.This position must ensure satisfaction by maintaining a solid working relationship with our candidates/associates - sho... Show more

Kids Pastor - Verrado

Christ's Church of the ValleyBuckeye, Arizona, United States
Full-time

Build a CCV Kids ministry team  .Ensure leaders and rooms are set up and ready to serve on the weekends .Help ensure the overall operations of the weekend is meeting all expecta... Show more

Compliance Administrator

AAM BrandBuckeye, AZ, United States
Full-time

Primarily responsible for monitoring and enforcing the vehicle parking regulations established by the Board of Directors and the Covenants, Conditions and Restrictions (CC&R's) Additional complianc... Show more

Entry Level Direct Sales Representative

Altitude Development GroupBuckeye, AZ, US
Full-time

Altitude invites independent leaders to take control of their careers.Do you prefer to set your own pace, chart your own course, and lead yourself to success? At Altitude, we believe that the best ... Show more

Geographic Information System Specialist

ProKatchersBuckeye, AZ, US
Full-time

Job Title : Geographic Information System Specialist Location : Buckeye, Maricopa County, Arizona Duration : 03 Months Job Summary: Job Category: GIS Specialist Position Description : This position... Show more

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Remote Cloud Computing Expert - AI Trainer ($55-$75 per hour)

Remote Cloud Computing Expert - AI Trainer ($55-$75 per hour)

MercorBuckeye, Arizona, US
11 days ago
Job type
  • Full-time
  • Remote
Job description
  • Role Overview Mercor is partnering with leading AI labs on Project Atlas — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in. We're seeking experienced cloud-computing professionals from major hyperscalers and Fortune 500 enterprises running large cloud deployments (e.g., AWS, Microsoft Azure, Google Cloud, Oracle Cloud, Snowflake, Databricks, and Fortune 500 platform / infrastructure teams) to recreate the digital workspaces they run every day and design the tasks that genuinely challenge state-of-the-art AI. You'll bring your expertise in cloud architecture, site reliability, platform engineering, DevOps / DevSecOps, or cloud FinOps to build a high-fidelity environment that mirrors the tools, files, and cross-functional workflows of a modern cloud organization — and then author tasks grounded in the programs you actually run today. Key Responsibilities - Build a realistic digital workspace centered on the Drive folders you use day-to-day — the architecture docs, runbooks, RFCs, incident post-mortems, capacity plans, cost reports, SRE review decks, and email threads that reflect how you actually organize your work — with some representation of the platforms that support it (e.g., HashiCorp Terraform, Datadog / Splunk, GitHub Actions, Okta) - Design multi-step tasks grounded in your real workflows that require navigating multiple apps, files, and stakeholders in a way that meaningfully challenges frontier AI agents - Collaborate with other cloud-computing experts in your field to design the environment, shape task scope, and review each other's scenarios for realism and rigor - Work asynchronously with research teams to refine task designs and evaluation criteria for cloud-computing agent benchmarks - Contribute to frontier AI research and benchmarking — the work you produce directly informs how leading labs train and evaluate the next generation of AI systems Ideal Qualifications - 3+ years of full-time experience at a major hyperscaler (AWS, Azure, GCP, Oracle Cloud), a cloud-data platform (Snowflake, Databricks), or a Fortune 500 platform / infrastructure team - Background in one or more areas such as : - Cloud architecture / solutions engineering (multi-account, multi-region, hybrid) - Site reliability engineering or production engineering - Platform / developer-experience engineering (IaC, internal developer platforms) - DevOps / DevSecOps, CI / CD, or container / Kubernetes operations - Cloud security, compliance (SOC 2, ISO 27001, FedRAMP), or cloud FinOps - Certifications a plus : AWS Solutions Architect / SysOps / DevOps, Azure Solutions Architect, GCP Professional Cloud Architect, CKA / CKAD - Day-to-day use of HashiCorp Terraform / Pulumi, Splunk / Datadog, GitHub Actions / CircleCI, and Okta / Microsoft Entra ID - Strong analytical thinking and writing — able to translate cloud-ops workflows into structured task specs Compensation Note This project is expected to begin on an effective hourly rate, but will transition to a model where experts are compensated based on throughput of quality work rather than a flat accruing hourly rate. About Mercor Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. Backed by investors including Benchmark, General Catalyst, Adam D'Angelo, and Jack Dorsey. Thousands of professionals across domains contribute to projects shaping the next generation of AI systems.