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The Software Engineer will build and optimize distributed syncing engines and low-latency APIs to handle massive data volumes for a global customer base. The role involves working on multi-cloud and multi-region infrastructure to improve scalability, reliability, and real-time data streaming capabilities.
The Machine Learning Engineer will build an intelligence layer for data activation products, focusing on personalization, predictive audiences, content generation, and marketing budget optimization. The role involves end-to-end development from problem definition and predictive modeling to building the underlying machine learning infrastructure.
The Staff DevOps Engineer will architect, automate, and scale Google Cloud Platform infrastructure to support AI/ML production systems. This hands-on role focuses on CI/CD, Kubernetes, and maintaining high-performance, secure, and scalable environments.
Senior ML Engineer builds and deploys AI models for a timekeeping product, owning end-to-end ML solutions and collaborating with cross-functional teams.
This role involves applying and researching deep learning models for mining operations, including training neural networks and building data pipelines. The engineer will work with PyTorch and various cloud technologies while communicating technical findings to non-technical stakeholders.
The Senior Software Engineer will design and maintain AI-powered vision infrastructure for manufacturing environments, focusing on edge computing, system reliability, and IoT device management. The role requires strong Python skills and experience deploying production-grade software on Linux-based edge devices.
This role involves building and scaling a fintech platform by developing full-stack features using Next.js, TypeScript, and Node.js. The engineer will own end-to-end projects, integrate payment APIs, and manage data across Firestore and PostgreSQL on Google Cloud Platform.
The Lead Backend Engineer will build and scale critical payment infrastructure, ledger systems, and financial APIs using NestJS, TypeScript, and Google Cloud Platform. This role involves managing high-stakes transaction pipelines and ensuring PCI compliance within a fintech environment.
The Senior Software Engineer will integrate LLMs and machine learning solutions into the company's platform, focusing on building AI-driven features, internal automation tools, and scalable ML infrastructure. The role requires strong expertise in Python, RAG pipelines, and production-level AI model deployment.
Enterprise Account Executive – HPE/Aruba Solutions We are a leading provider of technology professional services and hardware solutions, with a specialized focus on HPE and Aruba Networks. We are actively seeking a…
The Founding Engineer will design and manage the cloud infrastructure and platform for a data orchestration product. This role involves building CI/CD pipelines, managing Kubernetes clusters, and optimizing networking and observability for data processing engines.
Enterprise Account Executive - Energy Sector We are a leading provider of technology professional services and hardware solutions. We are on the hunt for a results-driven, ambitious, and personable Enterprise Sales…
This role involves building and maintaining features for a logistics API platform using Node.js, React, and TypeScript. Engineers are expected to integrate AI coding agents into their daily development workflow to design, build, and ship production-ready code.
Build and lead AI-powered backend systems using Java/Kotlin/C#/TypeScript, design scalable cloud architectures, and mentor engineers while integrating LLM features.
The Senior Backend Engineer will architect and develop scalable backend systems for a decarbonization platform using Python and frameworks like Django. The role involves leading software scaling, standardizing development practices, and collaborating with cross-functional teams to deliver high-quality, maintainable code.
The Senior Platform/SRE will design and maintain scalable AWS infrastructure, optimize CI/CD pipelines using AWS CDK, and implement observability and security standards. This role focuses on enhancing developer productivity and system reliability for an AI-driven platform.
The Data Scientist will join the Human Capital Analytics and Products team to analyze employee data and provide strategic insights for business leaders. The role involves using Python or R, statistical methods, and data visualization to support talent management, recruiting, and retention initiatives.
The Senior Solutions Engineer acts as a technical bridge between an open-source developer platform and game studios, focusing on SDK integration, pre-sales architecture, and developer advocacy. The role requires expertise in Unity, Unreal, and web3 technologies to support partners in building gaming infrastructure.
Lead the architecture and full-stack delivery of a legal-tech platform, using React, Node.js, and GCP while mentoring engineers and shaping product strategy.
Build and maintain generative AI infrastructure, including vector databases and LLM gateways, to make AI tools accessible across the firm.
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