Data Engineer
Design, build, and support end-to-end data pipelines, APIs, and migrations on Azure to power web and mobile applications. Ensure data accuracy and integrity through mapping, transformation, and validation across multiple systems.
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Design, build, and support end-to-end data pipelines, APIs, and migrations on Azure to power web and mobile applications. Ensure data accuracy and integrity through mapping, transformation, and validation across multiple systems.
Lead the development of core machine learning systems, focusing on fine-tuning LLMs and building NLP pipelines for insurance workflows. Architect scalable systems for training and inference while collaborating with founders to define technical direction.
Contribute to the development of an AI-powered DevSecOps platform. Incorporate AI into daily workflows to drive efficiency and innovation in software development.
Contribute to the development and security of an AI-powered DevSecOps platform. Focus on driving efficiency and innovation by incorporating AI into daily security workflows.
The role involves contributing to the development and maintenance of an AI-powered DevSecOps platform. The engineer will focus on security incident response (SIRT) to protect the organization and its users.
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The role involves contributing to the development and maintenance of an AI-powered DevSecOps platform. The engineer will focus on ensuring system reliability and incorporating AI into daily workflows to drive efficiency.
The role involves designing and implementing solutions using GitLab's AI-powered DevSecOps platform. The architect will help organizations integrate AI into their software development workflows to drive efficiency and innovation.
Provide technical support for an AI-powered DevSecOps platform to help organizations co-create software. Collaborate with industry leaders to solve complex problems and drive efficiency using AI tools.
Develop AI-enabled features using an AI-driven development process. Proactively contribute ideas to improve product architecture and functionality.
Own the end-to-end delivery of major AI features, from prompt engineering and backend logic to frontend interactions. Focus on improving the quality, accuracy, and speed of AI-generated outputs for interview intelligence tools.
Manage day-to-day Shopify backend operations for multiple client stores, including product listings, inventory, and pricing. Monitor website performance and execute promotional campaigns to optimize customer journeys.
Provide first and second-line technical support for customers using the AI GPU cloud platform. Diagnose and resolve infrastructure and connectivity issues while collaborating with engineering teams to improve platform stability.
Design and operate scalable bare metal provisioning platforms using OpenStack Ironic to support GPU cloud infrastructure. Manage the full hardware lifecycle and collaborate with cross-functional teams to ensure platform reliability and community alignment.
Define the technical direction and architecture for Nscale's Slurm-based HPC platform domain. Lead cross-functional initiatives to integrate HPC systems with cloud-native APIs and infrastructure to ensure reliability and scalability.
The role involves design responsibility for airport elements such as pavement, drainage, and fuel facilities, including the management of calculations and quality control. The engineer will coordinate plan sets, oversee task work plans, and perform occasional field construction observations.
Design, develop, and maintain financial billing applications using C# and .NET while managing data models and stored procedures. The role also involves analyzing large datasets to troubleshoot billing discrepancies and assisting with month-end close processes.
Ensure the operational stability, reliability, and scalability of production systems for Auth0. Collaborate with cross-functional teams to improve incident response processes and implement infrastructure resilience.
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The Project Engineer is responsible for the installation, configuration, and integration of Laboratory Information Systems (LIS) into healthcare workflows. They act as a technical subject matter expert, managing small projects and supporting the adoption of AI-enabled diagnostic solutions.
The role involves conceptualizing and implementing performant APIs, handlers, and datastores to transform the product into a full marketplace. The engineer will also mentor other developers and contribute to the overall technology strategy and architecture.
Build and optimize large-scale infrastructure to manage massive amounts of metadata and user data while ensuring seamless scalability. Collaborate with cross-functional teams to enhance the performance, reliability, and security of the platform's technological backbone.
Build and manage large-scale infrastructure capable of handling petabytes of data and millions of concurrent connections. Collaborate with cross-functional teams to optimize the analytics platform and enhance the performance, reliability, and security of the global data-fabric.
Design and build scalable data pipelines and models to create a digital twin of Nscale's operational signals. Develop trusted datasets and metrics to enable self-serve analytics for capacity planning, cost optimization, and customer reporting.
Design and build scalable data pipelines and models to create a digital twin of Nscale's operational signals. Develop trusted datasets and metrics to enable self-serve analytics for capacity planning and cost optimization.
Lead the end-to-end operational management of data center portfolios to ensure reliability, safety, and compliance. Drive the strategic vision for infrastructure scaling and manage cross-functional teams to support a high-performance AI cloud platform.
Define long-term technical strategy and architecture for customer-facing experiences and AI-powered foundations at scale. Lead the implementation of critical system components while aligning roadmaps across multiple organizations to drive business impact.
Own and drive long-term technical strategy and architecture for company-critical sharing and collaboration systems. Lead the integration of AI into product capabilities and engineering workflows while remaining hands-on in software development.
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Lead customer-facing AWS engagements, including cloud migrations, AI initiatives, and application modernization projects. Manage project scope, timelines, and stakeholder expectations while coordinating distributed delivery teams.
Oversee the mobile app business by defining the product vision, strategy, and roadmap. Lead cross-functional teams to integrate AI features and optimize user journeys through data-driven experimentation.
The role involves providing statistical expertise and scientific leadership for pharmaceutical studies in areas such as oncology, GI, neuroscience, or infectious diseases. Responsibilities include managing compliance, quality, governance, and people development.
Own the end-to-end delivery of AI-automated data platform migration projects, including scoping, planning, and execution. Act as the primary customer contact to manage expectations and partner with engineering teams to refine the delivery playbook.
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