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The Senior Site Reliability Engineer will maintain the reliability, availability, and performance of production environments while driving automation and observability. They will also partner with software engineering teams to improve application reliability and participate in incident response and root cause analysis.
The role involves managing data collection and ingestion pipelines to support AI model training at scale. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for new products.
The role involves managing data collection and ingestion pipelines to support large-scale AI model training. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for future products.
The role involves managing data collection and ingestion pipelines to support model training operations at scale. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for AI products.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for AI products.
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The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for AI products.
You will be responsible for all aspects of data collection to support model training operations, including building and operating cloud-based ingestion pipelines. You will also collaborate with scientists and leadership to define the dataset roadmap and improve the cost, throughput, and quality of data.
The role involves managing end-to-end data collection and ingestion pipelines to support large-scale AI model training. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for future products.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for AI products.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for next-generation AI products.
The role involves managing data collection and ingestion pipelines to support model training operations at scale. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for next-generation AI products.
The Epic Software Testing Coordinator plans, coordinates, and oversees testing activities for Epic applications and integrated healthcare systems to ensure quality prior to deployment. This role also provides tier-2 application support, mentors junior staff, and collaborates with stakeholders to optimize system performance.
The Security Content Specialist will assist in creating, testing, and documenting threat detection rules to enhance cyber detection capabilities. They will also partner with threat intelligence and various IT teams to validate detection strategies and maintain security assets.
The SRE will maintain the reliability, performance, and security of a large-scale enterprise SaaS platform on Azure. Responsibilities include managing MSSQL and PostgreSQL databases, performing system patching, and driving automation to improve operational efficiency.
![Spin Master is hiring for remote Senior Data Protection & Governance Engineer [Contract]](/assets/bedeaa13-f84e-4cee-8f27-30911d56db13.jpeg){kind=small}
You will lead the deployment of a Microsoft-centric data security and governance ecosystem, including Microsoft Purview and data classification frameworks. Additionally, you will partner with Legal and InfoSec teams to translate compliance requirements into automated, scalable security guardrails.
The CDP Developer designs, implements, and maintains customer data solutions to ensure a unified customer view across digital and offline channels. They collaborate with cross-functional teams to manage data ingestion, audience segmentation, and activation workflows while ensuring data quality and compliance.
The AI Platform Engineer will build and operate platforms for deploying, monitoring, and maintaining production AI models and services. They will collaborate with cross-functional teams to ensure AI capabilities are safely and consistently delivered into production workflows.
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The DevOps Engineer will design, automate, and secure cloud infrastructure while managing CI/CD pipelines for a federal health care platform. They will also mentor team members and serve as a technical advisor to clients and leadership regarding secure engineering practices.
The Digital Forensics Analyst is responsible for the collection, preservation, and analysis of digital evidence to support cybersecurity incident investigations and insider threat inquiries. This role serves as the primary technical expert for forensic activities, ensuring compliance with federal regulations and producing legally defensible reports.
Develop and support tools and services that enhance enterprise development workflows within the Atlassian ecosystem. Collaborate with cross-functional teams including developers, system administrators, and project managers to solve technical challenges.
The Performance & Data Optimization Engineer monitors and optimizes enterprise cloud data platforms to ensure efficiency, reliability, and cost-effectiveness. Responsibilities include tuning database performance, managing system health, and collaborating with engineering teams to resolve bottlenecks.
The Cloud Software Engineer will design, implement, and automate cloud-based architectures while optimizing resource performance and security. They will also provide operational support, develop deployment patterns, and research emerging cloud technologies to drive organizational efficiency.
The Principal SRE will design and maintain a scalable hybrid application platform while orchestrating automated CI/CD pipelines. They will also bridge platform engineering and database teams by developing self-service tooling and driving infrastructure automation.
The Infrastructure Administrator supports enterprise physical and virtual environments by deploying, automating, and monitoring network and server infrastructure. They also act as a liaison between vendors and development groups to ensure operational efficiency and high availability.
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