1 to 25 of 30 Permanent Clustering Jobs in the Thames Valley

with multiple forests/domains Office 365 : Tenant setup and configuration to best practice Virtualisation : VMware, Hyper-V Storage & Resilience : Dell/HP SANs, clustering, geographically redundant setups Monitoring & Backup : Microsoft System Center (SCOM), Veeam, DPM, Commvault Infrastructure as Code : Terraform, Bicep Firewall Basics : Fortigate, Sophos Automation : PowerShell scripting for More ❯

upgrade reports. Provide recommendations for improving upgrade processes and minimizing operational risk. Experience/Competencies Essential: VMware ESXi Expertise: Strong understanding of ESXi, vCenter, clustering (HA, DRS, vMotion), and Storage vMotion. Cisco UCS Administration: Expertise in Cisco UCS Manager, Fabric Interconnects, service profiles, and hardware configurations. Firmware Upgrade Experience: Hands More ❯

best practices. Minimum 5 years SQL Developer experience. Excellent working knowledge of full Microsoft SQL Server stack (SSAS, SSIS, and SSRS). SQL Server clustering Exposure to automation deployment tools such as Azure DevOps, OctopusDeploy. Knowledge of best practices and IT operations in an always-on, HADR (High Availability Disaster More ❯

for the business; Active Directory VMWare ESXi Horizon & VCentre Windows Server/Windows client engineering Intune HPe server and storage hardware Exchange Server Windows clustering M365 cloud services Role & Responsibilities: Providing line management for the systems engineering team, covering performance management, goal setting and upskilling Providing an escalation point for More ❯

tools e.g. SQL profiler. SSIS (from an administration perspective). PowerShell. Experience of configuring MS SQL for high availability and Disaster Recovery using SQL Clustering and Always-On Availability Groups. Practical experience in monitoring and tuning databases. Understanding of database encryption. Understanding of GDPR and management of data. Ability to More ❯

in a production environment. Strong expertise in SQL Server architecture, administration, and best practices. Hands-on experience with SQL Server high availability solutions, including clustering, replication, and Always On. Advanced knowledge of T-SQL for query optimisation and troubleshooting. Experience with database backup, recovery, disaster recovery planning, and strategies. Solid More ❯

PostgreSQL and Oracle DBA in production environments. Significant experience of migrating database workloads to Postgres from Oracle. Deep understanding of PostgreSQL architecture, including replication, clustering and indexing strategies, and a strong understanding of Postgres' vacuum/MVCC process. Proven experience with query optimization and database performance tuning. Hands-on experience More ❯

PostgreSQL and Oracle DBA in production environments. Significant experience of migrating database workloads to Postgres from Oracle. Deep understanding of PostgreSQL architecture, including replication, clustering and indexing strategies, and a strong understanding of Postgres' vacuum/MVCC process. Proven experience with query optimization and database performance tuning. Hands-on experience More ❯

PostgreSQL and Oracle DBA in production environments. Significant experience of migrating database workloads to Postgres from Oracle. Deep understanding of PostgreSQL architecture, including replication, clustering and indexing strategies, and a strong understanding of Postgres' vacuum/MVCC process. Proven experience with query optimization and database performance tuning. Hands-on experience More ❯

PostgreSQL and Oracle DBA in production environments. Significant experience of migrating database workloads to Postgres from Oracle. Deep understanding of PostgreSQL architecture, including replication, clustering and indexing strategies, and a strong understanding of Postgres' vacuum/MVCC process. Proven experience with query optimization and database performance tuning. Hands-on experience More ❯

PostgreSQL and Oracle DBA in production environments. Significant experience of migrating database workloads to Postgres from Oracle. Deep understanding of PostgreSQL architecture, including replication, clustering and indexing strategies, and a strong understanding of Postgres' vacuum/MVCC process. Proven experience with query optimization and database performance tuning. Hands-on experience More ❯

10+ years of combined experience in software engineering, enterprise architecture and/or DevOps Working experience with scaled software architecture & domain: performance, redundancy, failover, clustering, vertical scaling Preferred: experience using AWS cloud solutions, ideally including migration from other hosting services Working experience with source code management patterns and DevOps automation More ❯

10+ years of combined experience in software engineering, enterprise architecture and/or DevOps Working experience with scaled software architecture & domain: performance, redundancy, failover, clustering, vertical scaling Preferred: experience using AWS cloud solutions, ideally including migration from other hosting services Working experience with source code management patterns and DevOps automation More ❯

Java, and other BI/reporting tools. Familiarity with cloud computing, data governance, and healthcare analytics. Basic Linux and WebLogic administration skills. Understanding of clustering, high availability, and disaster recovery strategies for SAP BO. Ability to troubleshoot complex system and report issues. Strong documentation and process improvement skills. Prior experience More ❯

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. Pay More ❯

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. Pay More ❯

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. Pay More ❯

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. Pay More ❯

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. Pay More ❯

platforms. Strong skills in PostgreSQL administration (or similar RDBMS). Understanding of data warehousing architecture and practices. Familiarity with database operations including replication, encryption, clustering, and recovery. Experience with MongoDB, DynamoDB, and object storage (e.g. S3). Desirable Skills: Experience with containerisation tools (Docker, Kubernetes). Familiarity with infrastructure-as More ❯

Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictive modelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark More ❯

GitHub Actions, MyBatis, Maven Advanced experience with FIX Engines/Routers (Raptor, Catalyst, Chronicle, or similar tools). Distributed Systems: Experience with distributed computing , clustering , and scalability strategies . Soft Skills: Excellent communication and interpersonal skills to work effectively with both business and technology teams. Ability to thrive in a More ❯

Business Intelligence, CRM & Engagement, and Advanced Analytics. THE ROLE They’re looking for a data professional with experience in building predictive models—particularly around clustering and churn—as well as customer segmentation and journey analysis. You'll work across two main streams: standard analytics (like campaign performance and segmentation) and More ❯

of customer or exchange sites as a priority and rescheduling works around these occurrences. Resourcing all Glide installation requests received from Provisioning, ensuring optimised clustering of tasks to reduce travel time. Scheduling faults passed from the Service desk or NOC requiring an engineer visit with internal engineers or third-party More ❯

of customer or exchange sites as a priority and rescheduling works around these occurrences. Resourcing all Glide installation requests received from Provisioning, ensuring optimised clustering of tasks to reduce travel time. Scheduling faults passed from the Service desk or NOC requiring an engineer visit with internal engineers or third-party More ❯