1 to 25 of 27 Remote Clustering Jobs

practices are consistently applied. Required Skills & Experience Windows Server & Active Directory: Deep understanding of AD internals, authentication protocols, and directory services. Virtualisation: Expert knowledge of VMware vSphere (vCenter, ESXi, clustering, storage, networking). Linux Administration: Strong command-line expertise, system hardening, and cross-platform integration. Networking: In-depth TCP/IP knowledge, subnetting, routing, switching, and performance analysis. Storage & Backup More ❯

Directory Federation Services • Active Directory Sites and Services • Azure Active Directory • Azure Cloud Services • IPv4 and IPv6 • Microsoft Hyper-V • PowerShell • Windows Server 2016, 2019 and 2022 • Windows Failover Clustering • Windows File and Folder sharing including DFS-R • Windows Print Services • VMware vSphere • VMware vCenter Note: Candidate must be a U.S. citizen or green card holder who has resided in More ❯

communication skills, and reliability in delivering results Desirable experience * IT certifications (Azure, MCP/MCSA/MCSE, CCNA) * SAN administration (Compellent, NAS/iSCSI), Hyper-V clusters, Microsoft Failover clustering * Backup management, monitoring systems (PRTG), build image maintenance, and infrastructure decommissioning * PowerShell scripting for automation and infrastructure management * ITIL foundation knowledge Why this role? * Competitive salary + discretionary bonus More ❯

talent , this is the opportunity youve been waiting for. Required Skills: Strong experience with Windows Server (2016/2019/2022) & Active Directory Advanced Hyper-V/VMware skills clustering, replication, high availability Hands-on experience with SAN storage and server builds Solid networking knowledge firewalls, VPNs, routing, switching Exposure to Azure and cloud migrations (desirable) Excellent troubleshooting and client More ❯

Dell Network Switches - WatchGuard Network Security involving multi-site global networks - Veaam Backups - Dell Hardware Servers - Azure and Amazon Cloud Essential Skills Expert knowledge architecting and administering High Availability clustering application based servers solutions Manage and ensure effectiveness of security solutions, including firewalls, anti-virus solutions, and intrusion detection systems. SQL Server database administration and knowledge with SQL Server mirroring More ❯

tasks using scripting tools such as Shell, PowerShell, Bash, Ruby, and Python. Work with virtualisation platforms including VMware, and deploy containerisation technologies such as Docker. Manage load balancing and clustering solutions including HAProxy, VTMs, and other high-availability architectures. Collaborate with cross-functional teams to deliver resilient infrastructure solutions. Requirements: Proven experience in Linux systems engineering within enterprise or MSP More ❯

articulate complex technical concepts to both engineering teams and business stakeholders. Preferred Qualifications Direct experience with the MariaDB or MySQL database ecosystems. Hands-on experience with high-availability and clustering technologies, particularly Galera Cluster. Experience engaging with an open-source software community. Experience with major cloud providers (AWS, GCP, Azure) and their data services. An advanced degree (MS in Computer More ❯

a collaborative spirit, and a commitment to quality. Proven experience in early-stage projects utilizing technologies like AWS, Terraform, Python, Go, and a solid understanding of Bash. Familiarity with clustering, load balancing in cloud environments, and a solid grasp of networking and telemetry, especially within AWS. Proficiency in Linux system administration and service configuration. Our client is a leading provider More ❯

the following: SQL Server 2017, Business Intelligence (BI), OLTP Systems, OLAP, Data Warehousing and more. Our client can provide you with industry recognised training in: SQL Server 2019, replication, clustering, SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS) and data warehouse technologies. This is a truly fabulous opportunity to join a spectacular organization More ❯

a research environment as well as providing documentation and training materials. Expert knowledge of storage technologies including NAS, iSCSI, FC, volume management, replication, mirroring, tiering, RAID concepts, erasure code, clustering, snapshots, and filesystems, such as NFS, SMB, Ceph or MinIO as well as backup and archive. Ability to implement automated approaches to data movement. Expert knowledge of virtualisation solutions including More ❯

a research environment as well as providing documentation and training materials. Expert knowledge of storage technologies including NAS, iSCSI, FC, volume management, replication, mirroring, tiering, RAID concepts, erasure code, clustering, snapshots, and filesystems, such as NFS, SMB, Ceph or MinIO as well as backup and archive. Ability to implement automated approaches to data movement. Expert knowledge of virtualisation solutions including More ❯

a research environment as well as providing documentation and training materials. Expert knowledge of storage technologies including NAS, iSCSI, FC, volume management, replication, mirroring, tiering, RAID concepts, erasure code, clustering, snapshots, and filesystems, such as NFS, SMB, Ceph or MinIO as well as backup and archive. Ability to implement automated approaches to data movement. Expert knowledge of virtualisation solutions including More ❯

logical data models. Translation of business needs into technical specifications for database structures. Implementation of best practices. Configure and maintain solutions such as SQL Server AlwaysOn Availability Groups, database clustering and mirroring to ensure business continuity. Test and develop database recovery and backup procedures. What we are looking for: Proven experience in data engineering and database administration in previous roles. More ❯

protocols and best practices across the full EDRM model. High-level experience in consulting and using advanced eDiscovery tools such as GenAI, Continuous Active Learning (CAL)/TAR workflows, clustering, and search term analysis. Managing multiple eDiscovery matters, prioritizing tasks, and identifying the most efficient workflows. Collaborating within a team in a fast-paced, solutions-focused environment to meet deadlines. More ❯

reports. Perform advanced data modeling, data cleaning, and data preparation using Tableau Prep. Create insightful visualizations using heatmaps, scatter plots, bar charts, and more. Implement trend lines, forecasting, and clustering techniques to uncover patterns and predictions. Manage and publish content to Tableau Server and Tableau Cloud environments. Integrate data from multiple sources using blending and joins. Utilize Tableau JS API More ❯

new and existing databases to ensure that processes are repeatable and scalable. Create and manage database schemas, tables, stored procedures, indexes, and triggers. Ensuring high availability of databases through clustering, replication, and other techniques. Implement and maintain data pipelines and ETL processes for real-time and batch data ingestion. Monitor database performance and proactively address issues related to tuning and … at least one modern language Experience in operating and maintaining cloud infrastructure Experience with automation frameworks Understanding of database architecture, backup and recovery, and performance tuning Experience with database clustering and replication mechanisms. Experience of working with Cloud SQL Experience of using (and ideally developing) REST APIs Experience with CI/CD pipelines, tools and DevOps practices in data engineering More ❯

beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML … skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us More ❯

beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role … skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to More ❯

Success, you’ll bridge strategic thinking with structured execution. Key responsibilities include: Building customer data products using first-party data overlaid with third-party sources to create segmentation models, clustering solutions, and next-best-action products Translating product strategy into build-ready specifications, reusable components, and scalable insight tools Defining features and licensing models, onboarding new clients, and ensuring seamless … within B2B SaaS, data, analytics, or CRM environments Proven track record building data-led products using first-party and third-party data Experience developing model-based products such as clustering, segmentation, or next-best-action solutions Skilled at defining product features, licensing strategies, and client onboarding processes Strong commercial mindset with the ability to measure ROI, track adoption, and improve More ❯

Success, you’ll bridge strategic thinking with structured execution. Key responsibilities include: Building customer data products using first-party data overlaid with third-party sources to create segmentation models, clustering solutions, and next-best-action products Translating product strategy into build-ready specifications, reusable components, and scalable insight tools Defining features and licensing models, onboarding new clients, and ensuring seamless … within B2B SaaS, data, analytics, or CRM environments Proven track record building data-led products using first-party and third-party data Experience developing model-based products such as clustering, segmentation, or next-best-action solutions Skilled at defining product features, licensing strategies, and client onboarding processes Strong commercial mindset with the ability to measure ROI, track adoption, and improve More ❯

Success, you’ll bridge strategic thinking with structured execution. Key responsibilities include: Building customer data products using first-party data overlaid with third-party sources to create segmentation models, clustering solutions, and next-best-action products Translating product strategy into build-ready specifications, reusable components, and scalable insight tools Defining features and licensing models, onboarding new clients, and ensuring seamless … within B2B SaaS, data, analytics, or CRM environments Proven track record building data-led products using first-party and third-party data Experience developing model-based products such as clustering, segmentation, or next-best-action solutions Skilled at defining product features, licensing strategies, and client onboarding processes Strong commercial mindset with the ability to measure ROI, track adoption, and improve More ❯

Success, you’ll bridge strategic thinking with structured execution. Key responsibilities include: Building customer data products using first-party data overlaid with third-party sources to create segmentation models, clustering solutions, and next-best-action products Translating product strategy into build-ready specifications, reusable components, and scalable insight tools Defining features and licensing models, onboarding new clients, and ensuring seamless … within B2B SaaS, data, analytics, or CRM environments Proven track record building data-led products using first-party and third-party data Experience developing model-based products such as clustering, segmentation, or next-best-action solutions Skilled at defining product features, licensing strategies, and client onboarding processes Strong commercial mindset with the ability to measure ROI, track adoption, and improve More ❯

Success, you’ll bridge strategic thinking with structured execution. Key responsibilities include: Building customer data products using first-party data overlaid with third-party sources to create segmentation models, clustering solutions, and next-best-action products Translating product strategy into build-ready specifications, reusable components, and scalable insight tools Defining features and licensing models, onboarding new clients, and ensuring seamless … within B2B SaaS, data, analytics, or CRM environments Proven track record building data-led products using first-party and third-party data Experience developing model-based products such as clustering, segmentation, or next-best-action solutions Skilled at defining product features, licensing strategies, and client onboarding processes Strong commercial mindset with the ability to measure ROI, track adoption, and improve More ❯

Success, you’ll bridge strategic thinking with structured execution. Key responsibilities include: Building customer data products using first-party data overlaid with third-party sources to create segmentation models, clustering solutions, and next-best-action products Translating product strategy into build-ready specifications, reusable components, and scalable insight tools Defining features and licensing models, onboarding new clients, and ensuring seamless … within B2B SaaS, data, analytics, or CRM environments Proven track record building data-led products using first-party and third-party data Experience developing model-based products such as clustering, segmentation, or next-best-action solutions Skilled at defining product features, licensing strategies, and client onboarding processes Strong commercial mindset with the ability to measure ROI, track adoption, and improve More ❯

Success, you’ll bridge strategic thinking with structured execution. Key responsibilities include: Building customer data products using first-party data overlaid with third-party sources to create segmentation models, clustering solutions, and next-best-action products Translating product strategy into build-ready specifications, reusable components, and scalable insight tools Defining features and licensing models, onboarding new clients, and ensuring seamless … within B2B SaaS, data, analytics, or CRM environments Proven track record building data-led products using first-party and third-party data Experience developing model-based products such as clustering, segmentation, or next-best-action solutions Skilled at defining product features, licensing strategies, and client onboarding processes Strong commercial mindset with the ability to measure ROI, track adoption, and improve More ❯