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Builds and maintains the AI-driven infrastructure for Owner’s unified platform, integrating tools like websites, online ordering, CRM, and POS systems for local businesses, primarily restaurants.
The Lead Engineer will oversee client support, modernization, and service improvement on the Microsoft Azure platform. The role focuses on driving automation, governance, and process documentation within a managed services environment.
Leads global customer security onboarding and engagement for LexisNexis’ products, ensuring trust and confidence through transparent security communication and technical support.
Field Sales Engineer for defence tech: bridges customer needs and R&D to integrate AI-powered human-machine interfaces (e.g., vehicle visors, helmets) into armoured systems, shaping product roadmaps via hands-on demos and technical integrations with Finnish Defence Forces and partners.
Designs real-time FPGA-based image processing hardware for AR/HUD systems in defense and automotive, bridging sensor data and computational optics with strict latency constraints.
The Golang Developer will build and maintain high-performance backend services for real-time data collection and processing. The role focuses on optimizing data ingestion and integrating TWAMP solutions with monitoring platforms.
A Developer Relations Engineer creates technical content, builds demos, and engages with developer communities to promote Supabase’s Postgres-based backend platform (Auth, Storage, Edge Functions, Realtime, Vector Search).
The Software Engineer will build and maintain data analytics and search platforms, including provisioning and observability, for Apple's critical internet services. The role involves managing hybrid-cloud data migrations and infrastructure using technologies like Java, Python, and various distributed database systems.
Owns data and AI product roadmaps, translating business needs into backlog priorities and guiding Agile teams through sprints using Azure tools.
Designs and maintains data pipelines, warehouses, and governance frameworks using cloud platforms and tools like Databricks and Microsoft Fabric.
Design and lead modern .NET microservices and Blazor-based UIs, coach teams, and define cloud-native architectures on Microsoft Azure.
Translate stakeholder needs into clear requirements and functional designs, then test and break them into Azure DevOps backlog items for a U.S.-aligned team.
Build and publish technical content (videos, demos, tutorials) using Supabase, Next.js, and modern frontend tools to teach developers how to use the platform.
Oversees 1–5 concurrent tech projects (cloud, infrastructure, apps) in an Agile PMO, ensuring delivery on time, budget, and aligned with business needs while managing cross-functional teams and senior leadership engagement.
Leads FPGA fabric design optimization and research for AMD’s Adaptive & Embedded Computing Group, focusing on programmable logic improvements, yield enhancement, and collaboration with silicon teams to advance future product architectures.
This role involves integrating LLMs into production environments, managing CI/CD pipelines, and configuring infrastructure for AI workloads on AWS. The engineer will focus on automating delivery, establishing observability, and implementing security and governance for AI solutions.
The Software Engineer will build and scale distributed backend services for metadata operations, focusing on reliable APIs and self-service workflows for enterprise customers. The role involves collaborating across teams to improve platform observability and maintaining high-quality, well-tested code.
Leads the design and implementation of scalable enterprise data platforms, focusing on cloud-based ETL/ELT, data modeling, and analytics ecosystems.
Build and demonstrate knowledge-graph architectures that power Mendix’s AI solutions and client demos, turning validated customer work into reusable reference models and technical narratives.
Builds and maintains a professional data platform using Qlik Cloud, Talend Cloud, and Databricks to connect SAP, CRM, and other systems into scalable AI and dashboard pipelines.
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