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Senior Solutions Consultant advises clients on Appian’s AI-powered process automation platform, designing custom POCs/POVs for Fortune 500 workflows, and influencing product roadmaps by bridging technical and business needs in enterprise sales.
Build and maintain open-source JavaScript tools and packages for the npm registry, collaborating with internal teams and external contributors to deliver secure, scalable developer infrastructure.
Develops, tests, and troubleshoots SAP S/4HANA supplier portal enhancements, working closely with functional teams to translate business needs into technical solutions.
This role involves designing and implementing embedded systems for medical devices, bridging the gap between FPGA logic and application software. The engineer will own the full stack from board-level schematic design to Linux kernel driver development using Xilinx tools and AXI protocols.
The Senior Staff SDET will design test strategies and automate testing for Druva's cloud-native data protection platform. The role involves using Python or Java, AI-assisted automation tools, and cloud infrastructure to ensure the reliability of distributed backup systems.
Staff Program Manager leads end-to-end AI-first product launches, pricing rollouts, and technical alliance integrations, ensuring on-time delivery across global teams and optimizing processes with AI-driven automation.
The Deal Desk Analyst supports global sales teams by structuring complex pricing proposals and optimizing deal profitability. The role involves cross-functional collaboration, process improvement, and data analysis using Salesforce and Excel to drive sales velocity.
The Senior UX Designer will lead UI refactoring and design intuitive workflows for Druva's cloud-native SaaS platform. The role involves collaborating with cross-functional teams to integrate AI-driven features and improve overall product usability.
Designs, deploys, and maintains enterprise network infrastructure (LAN/WAN/WLAN/security) for MSP clients, specializing in Cisco, SonicWall, Palo Alto, and Azure. Focuses on project-based implementation, troubleshooting, and optimization across SMB, cloud, and multi-tenant environments.
Develops and maintains C#-based UI/UX components for 3D geospatial software, focusing on user interaction and visualization of large-scale 3D data models.
Develops high-performance C++ software for 3D reconstruction, photogrammetry, and computer vision, enabling large-scale geospatial modeling and visualization.
Leads ERP (SAP, Coupa, DocuSign) integration, data migration, and monthly releases for a fiber internet provider’s systems, coordinating with engineering and business stakeholders.
Leads cloud-based software projects for Google Fiber’s systems and tools, deploying releases on GCP and managing field-issue resolutions with stakeholders.
You will design and implement machine learning systems for spatial data within the Spatial Cloud infrastructure. This involves building AI models, pipelines, and inference services using Python and frameworks like PyTorch to process global-scale geospatial data.
Build and improve the internal tools and systems that let Asana engineers ship code quickly and reliably, focusing on build systems, sandboxes, and developer workflows.
Build and scale data pipelines and self-serve tools in Databricks and cloud platforms to deliver high-quality data for marketing and analytics teams.
Develops C/C++ test content, low-level drivers, and custom firmware for subsystems/SoCs; works with FPGA platforms (HAPS/Xilinx) and debugs hardware issues using tools like JTAG and logic analyzers. Core technologies include C, C++, Python, SystemVerilog, and embedded software.
Senior Product Designer building intuitive, cloud-based SaaS interfaces that drive user activation, engagement, and retention through data-driven UX decisions and visual storytelling.
Owns a cloud-infrastructure product that blends AI, high-performance compute, and user-centric design; balances product growth, infrastructure economics, and service performance.
Design and evangelize Kubernetes-based data platforms for enterprises, guiding them on stateful workloads and multi-cloud storage at scale.
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