2 of 2 Remote Performance Tuning Jobs in Essex

join a specialist team supporting large, business-critical SQL Server and Azure SQL platforms. This is a hands-on position where you’ll play a key role in maintaining performance, stability, and resilience across the firm’s core applications. The role Administer and optimise SQL Server databases (2014–2022) across on-prem and Azure. Deliver performance tuning … Server DBA background in live production environments Azure SQL expertise (Managed Instance, SQL Database or SQL on Azure VMs) Proven HA/DR delivery: AlwaysOn, clustering, failover processes Deep performance tuning (execution plans, indexing, Query Store, Extended Events, wait stats) Confident T-SQL skills for diagnostics and automation Experience working within structured change control Clear communication skills and More ❯

large-scale production environments (5,000+ hosts) built on technologies such as Kafka, Redis, Kubernetes and MySQL. This is a hands-on, systems-level position focused on reliability, scalability, performance and troubleshooting. You'll work alongside experienced engineers, operating with a high degree of autonomy to keep critical systems healthy, resilient, and observable. Key Responsibilities Manage, configure and maintain … systems including Kafka, Redis, Kubernetes and MySQL Support day-to-day operations in data centre/large-scale infrastructure environments (5,000+ hosts) Contribute to system reliability, scalability and performance improvements across the platform Participate in an on-call rotation (one week every 4–5 weeks) to ensure 24x7 availability of critical systems Collaborate with internal teams to improve … Skills 5+ years' experience in Linux system administration, SRE, Infrastructure or Platform Engineering roles Proven experience operating large-scale infrastructure (thousands of hosts/distributed systems) Strong troubleshooting and performance tuning skills at the infrastructure and OS level Solid understanding of MySQL operations, including replication concepts Hands-on experience with Kafka and/or other distributed messaging systems More ❯