Senior Product Engineer - Supply Team
Lead and build features end-to-end, from user research and architecture to deployment and production monitoring. Partner closely with the product team to define user problems and shape technical solutions.
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Lead and build features end-to-end, from user research and architecture to deployment and production monitoring. Partner closely with the product team to define user problems and shape technical solutions.
The Systems Engineer provides technical sales support, product consulting, and high-level presentations for customers and channel partners. They are also responsible for designing solutions, managing RFI/RFP responses, and leading Proof of Concept activities.
The Systems Engineer provides technical sales support, product consulting, and high-level presentations for customers and channel partners. They are responsible for designing solutions, managing Proof of Concept activities, and supporting RFI/RFP responses.
The Systems Engineer provides technical product consulting and sales support, including high-level presentations and RFI/RFP responses for customers and partners. They are also responsible for designing solutions, leading Proof of Concept activities, and acting as a technical specialist within virtual teams.
You will design, build, and maintain Kubernetes operators and platform services while automating cloud infrastructure and incident response. Additionally, you will contribute to the development of deployment pipelines and improve developer experience through robust platform capabilities.
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Design and maintain scalable data pipelines and microservices to support marketing and product data ingestion. Collaborate with growth and analytics teams to define success metrics and enable self-serve analytics through high-quality, well-structured datasets.
The Senior Full Stack Engineer will develop and maintain Virtru's digital privacy products using JavaScript and Go. They will also manage the full application lifecycle, including deployment and operations on AWS within a DevOps environment.
You will own and elevate landing pages and web experiences while collaborating closely with design and marketing teams. Your role involves implementing high-performance web interactions and building reusable components to drive the company's digital presence.
You will own the architecture of the shared AI pipeline, designing reusable patterns for agentic workflows, retrieval, and model orchestration. You will also lead the implementation of evaluation frameworks to ensure production reliability, quality, and performance across all AI products.
The Senior Solutions Engineer will demonstrate the product's value to customers during the sales process and support them through proof of concept sessions. Additionally, the role involves documenting use cases and answering technical questions to help customers leverage the platform effectively.
You will design, build, and optimize scalable CI/CD pipelines and infrastructure-as-code solutions to support global software delivery. Additionally, you will create self-service tools to improve developer experience and implement automated monitoring and remediation for services.
You will troubleshoot technical issues for developers using tools like Zendesk and Discord while investigating performance problems related to caching, DNS, and network connectivity. Additionally, you will collaborate with engineering teams to resolve bugs and contribute to internal documentation to improve platform reliability.
You will develop and operate scalable cloud-native platforms using Kubernetes and Infrastructure as Code to support engineering teams. Additionally, you will build modern CI/CD pipelines and maintain API infrastructure to ensure high performance, reliability, and security.
Design and implement highly available, globally distributed backend services for authentication and authorization. Collaborate with cross-functional teams to evaluate identity standards and mentor engineers on best practices.
Lead the architecture, design, and operation of NVIDIA's global backbone network to support high-capacity AI-training infrastructure. Automate network infrastructure end-to-end, including circuit provisioning, capacity management, and failure detection.
Design, build, and maintain scalable cloud-native data platforms and robust ELT/ETL pipelines using Snowflake. Partner with stakeholders to enable self-service analytics while ensuring data quality, governance, and performance optimization.
You will own and evolve the Kubernetes-based infrastructure on Google Cloud while building and operating reliable pipelines for market data ingestion. Additionally, you will manage deployment, monitoring, and incident response for live trading systems to ensure platform stability.
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Develop new features across the front and back end while utilizing AI-assisted tools to accelerate development. Collaborate with team members to design cohesive code and troubleshoot issues within production environments.
You will manage strategic relationships with enterprise customers to drive adoption, optimize cloud environments, and ensure successful business outcomes. Additionally, you will collaborate with internal product and engineering teams to advocate for customer needs and resolve technical issues.
The Java Support Engineer will collaborate with global teams to provide technical support and solutions for high-performance businesses. The role involves participating in international projects and utilizing cutting-edge technologies to drive digital transformation.
Design and develop machine learning infrastructure, tooling, and models to enable teams to build AI-powered applications. Consult with cross-functional teams to implement scalable, resilient services and translate product goals into actionable engineering plans.
You will lead the end-to-end architecture and delivery of observability platform components to ensure reliability, scalability, and usability. Additionally, you will serve as a technical advisor and mentor to guide design decisions and align cross-team efforts with long-term architectural goals.
The Field Service Engineer is responsible for installing, maintaining, and troubleshooting Videojet coding and marking equipment at customer facilities. They act as a trusted advisor to customers while managing regional travel to ensure equipment performance and service agreement promotion.
You will build and operate robust, scalable platform products and messaging infrastructure to support global content creation workflows. You will also mentor junior engineers and drive technical alignment across cross-functional teams to ensure operational excellence.
Drive technical sales and solution design through demos, proof of concepts, and architecture workshops to accelerate customer adoption of Microsoft cloud platforms. Collaborate with engineering teams to resolve technical blockers and provide thought leadership within the database and analytics community.
Identify and resolve friction across the software development lifecycle by designing and building reliable, AI-powered agentic systems. You will work across the codebase to implement automation that improves efficiency and ensures engineering decisions are trustworthy.
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You will set the technical direction for agentic systems and drive the resolution of friction across the software development lifecycle. You will also mentor engineers and collaborate with global teams to align on the technical roadmap.
The engineer will lead the migration of a native Swift mobile application to a cross-platform framework while integrating machine learning features and geospatial functionality. They are responsible for the full development lifecycle, including API design, performance optimization, and managing releases on the Apple App Store and Google Play Store.
You will act as the technical front line for hyperscale customers, managing product evaluations, interoperability testing, and troubleshooting. You will also serve as a technical bridge between customer requirements and internal engineering teams to ensure successful product deployment.
The candidate will develop Python scripts and applications to automate security operations processes and identify efficiency opportunities. They will also collaborate with stakeholders to define requirements, produce impact metrics, and provide on-call support for applications.
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