The Memory Lead Engineer will be responsible for end-to-end memory deployments into products, including defining the memory roadmap and leading memory characterization. This role involves collaboration with cross-functional teams and third-party vendors to ensure effective memory solutions.
Remote Software Development Jobs in Netherlands (454)
Remote in = Netherlands
Job category = Software Development
The Salesforce Regional Lead provides oversight and support for mission-critical applications and platforms, ensuring they operate effectively. This includes advanced operational support, system maintenance, and leading project workstreams for application enhancements.
The Solutions Architect will lead client engagements, guiding the discovery, design, and implementation of scalable data management solutions. Responsibilities include engaging with stakeholders, designing solutions, overseeing development activities, and supporting pre-sales efforts.
The Analytics Lead will own data and analytics for the Book on Vio domain, supporting decision-making across various topics and leading a team of analysts. They will also provide hands-on support for product teams, conducting in-depth analysis and optimizing user experience.
Design, develop, and maintain cloud applications using .NET in Azure while collaborating with cross-functional teams. Develop RESTful APIs and integrate third-party services, ensuring high-quality software solutions.
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You will contribute to, analyze, and optimize the performance of the core ClickHouse database, focusing on various optimization topics. Additionally, you will help debug advanced performance issues and collaborate with other teams to assess the impact of new features.
Cloud Software Engineer - Identity and Access Management
ClickHouse
·
Full Time
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19 Weeks Ago
ClickHouse
Develop and manage authentication and authorization systems while collaborating with engineering teams. Ensure secure access management and compliance with security frameworks.
Design and develop a large-scale LLM training platform while maintaining optimal performance, scalability, and reliability of the ML infrastructure. Improve job scheduling strategies to minimize resource fragmentation.
AI Engineer (Technical Product Owner) 54 APPLICANTS
Foxelli Group
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Full Time
·
20 Weeks Ago
Foxelli Group
The AI Engineer (Technical Product Owner) will build the backend for an internal AI ad engine and design how creative elements are combined and tested. They will also set up feedback loops using Meta ad performance data and make decisions about system structure.
As a Principal Software Engineer, you will shape technical direction across teams and domains while turning design automation challenges into scalable product capabilities. You will also help set technical direction and solve complex cross-cutting problems.
The Software Developer in Test will design, implement, and maintain automated test frameworks for Caseware’s web-based SaaS products. They will also perform various types of testing and collaborate with development and product specialists.
The Lead Full Stack Engineer will design and develop software solutions, focusing on Rust-based data processing and Go-based APIs. They will also lead the technical strategy for full-stack development and mentor junior engineers.
Lead/Staff Full Stack Engineer, AI Platform & Agents
Wolters Kluwer
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Full Time
·
20 Weeks Ago
Wolters Kluwer
Design and implement full-stack applications and AI agents that enable rapid development and deployment. Collaborate with product, UX, and domain experts to deliver customer-focused solutions.
Develop and optimize low-level kernels and runtime components for AI inference. Collaborate with ML and backend teams to optimize end-to-end execution.
Senior Software Engineer (C++) / Platform Engineer (m/f/d)
Open-Xchange
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Full Time
·
20 Weeks Ago
Open-Xchange
Ensure the stability and reliability of the core product by maintaining and extending a moderately complex C/C++ codebase. Manage and further develop the Kubernetes setup, including Helm charts and deployment workflows.
The Security Systems Engineer will design and implement security architecture across cloud infrastructure and services, ensuring the reliability and security of the systems. They will also conduct threat modeling and risk assessments while maintaining security documentation and assisting with compliance.
As a Solutions Architect, you will act as the technical bridge between Engineering, Sales, and external partners, guiding integrations and ensuring successful technical adoption. You will also partner with Sales and Ecosystem teams to design technical solutions and drive the adoption of Allora's products in the capital markets industry.
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As a Senior Protocol Engineer, you will design improvements and new features for Allora's decentralized intelligence network and implement performance-critical systems. You will also collaborate with researchers and engineers to ensure the protocol is resilient and performant.
The Software Engineer in Test will design, implement, and maintain automated test frameworks for smart contracts and backend services. They will collaborate with engineers to ensure quality practices are embedded throughout the development lifecycle.
Build ClickHouse cloud’s billing and metering platform, designing and building mission-critical processes. Collaborate with multi-disciplinary teams to define business strategies and integrate with various systems.
As a full-stack engineer, you will help develop a cloud-based data platform and think up innovative solutions for various customers. You will be involved in envisioning, developing, testing, and securing applications in a dynamic technological environment.
The SAP Solutions Architect will bridge customer needs with innovative solutions, crafting architecture designs and guiding businesses towards optimized processes. They will also manage requirement backlogs and ensure solutions are secure and efficient.
The Supply Chain Consultant will analyze complex customer cases and implement actionable results across the supply chain, focusing on logistics operations and network optimization. They will work closely with clients to acquire business data and develop presentation materials from analysis results.
The Staff MLOps Engineer will lead the design and implementation of scalable MLOps platforms on AWS, focusing on model training, deployment, and monitoring. They will also establish best practices for model lifecycle management and ensure high availability and observability of production ML systems.
The Staff MLOps Engineer will lead the design, implementation, and scaling of enterprise-grade machine learning platforms on AWS, focusing on building reliable and secure MLOps systems. This role includes architecting scalable platforms, establishing standards for model lifecycle management, and enabling model deployment and monitoring.
You will create, maintain, and test databases, integrations, APIs, and other back-end processes for our principal products. The role involves building custom software solutions and maintaining libraries.
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Supply Chain Consulting Manager - Operations and Analytics
NTT DATA
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Full Time
·
21 Weeks Ago
NTT DATA
The Supply Chain Consulting Manager will manage and deliver consulting services, acting as the primary contact for clients and coordinating project personnel. They will also mentor consultants and develop presentation materials based on analysis results.
As a Junior/Medior AI Consultant, you will develop your skills in IT and AI while building IT systems and guiding developers. You will also contribute to internal AI-driven development by selecting and researching suitable AI tools and educating colleagues.
SAP EWM Developer / Consultant (m/f/d) - Remote SAP EWM Developer / Consultant (m/f/d) - Remote
Körber Group
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Full Time
·
21 Weeks Ago
Körber Group
Deliver SAP EWM projects from concept to go-live and turn complex business needs into smart technical solutions. Work hand-in-hand with clients and colleagues for flawless execution.
The Data Engineer will design and build robust data pipelines, ensuring data is clean, reliable, and ready for decision-making. They will also collaborate with various teams to understand their data needs and optimize data workflows.
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