10 of 10 Performance Tuning Jobs in Scotland

SQL Performance Engineer - Hybrid (Glasgow or Edinburgh) - Up to £50,000 Are you passionate about optimising high-volume data systems and solving complex performance challenges? We're hiring a Performance Engineer to join a growing tech team working on a cutting-edge financial data platform. This is a hybrid role, with 2 days in the office (Glasgow … or Edinburgh) and 3 days working from home . What You'll Be Doing Tuning and optimising complex SQL queries to improve system performance Building tooling for diagnostics and deployment risk management Automating performance testing and benchmarking across environments Collaborating with Engineering, DevOps, and Product teams to improve throughput and scalability Supporting deployment strategies for high-risk … releases Designing and testing new performance features What We're Looking For Proven experience in SQL performance tuning and query optimisation Familiarity with performance testing tools (e.g., JMeter, k6) Experience with observability platforms (e.g., Azure Monitor, Grafana) Strong problem-solving skills and a collaborative mindset Ability to develop and interpret MI for decision-making Bonus Skills More ❯

SQL Performance Engineer - Hybrid (Glasgow or Edinburgh) - Up to £50,000 Are you passionate about optimising high-volume data systems and solving complex performance challenges? We're hiring a Performance Engineer to join a growing tech team working on a cutting-edge financial data platform. This is a hybrid role, with 2 days in the office (Glasgow … or Edinburgh) and 3 days working from home . What You'll Be Doing Tuning and optimising complex SQL queries to improve system performance Building tooling for diagnostics and deployment risk management Automating performance testing and benchmarking across environments Collaborating with Engineering, DevOps, and Product teams to improve throughput and scalability Supporting deployment strategies for high-risk … releases Designing and testing new performance features What We're Looking For Proven experience in SQL performance tuning and query optimisation Familiarity with performance testing tools (e.g., JMeter, k6) Experience with observability platforms (e.g., Azure Monitor, Grafana) Strong problem-solving skills and a collaborative mindset Ability to develop and interpret MI for decision-making Bonus Skills More ❯

appropriate fixes/improvements for future Upgrade, decommission and deliver new databases alongside supporting changes required to existing databases on the estate including but not limited to deployments, patching, tuning/optimisation and disaster recovery testing. Think “outside the box” to improve our processes through process automation, innovation and continuous improvement. Work with Lead Database Engineers, Infrastructure Designers and … High Availability and Disaster Recovery Methods including setup, troubleshooting and support - Oracle RAC, Oracle Restart, ASM, Oracle Data Guard, flashback technologies and SQL Server Always On High Availability. Database performance tuning and optimisation skills. Experience of using Oracle Enterprise Manager. Oracle/Red Hat Linux, Windows, AIX, and Solaris Operating System experience. An ability to take ownership for … option to buy more, giving you even more choice. Private medical insurance A highly competitive pension to help you build a strong foundation for retirement Access to an annual performance-related bonus Training and development to help you progress your career A great selection of additional benefits through our flexible benefits scheme Life assurance to provide peace of mind More ❯

Optimise infrastructure with Karpenter for autoscaling and cost efficiency. Ensure robust AWS networking (VPC, Transit Gateway, PrivateLink, Route 53) and enforce security best practices. Drive incident response, monitoring, and performance tuning. Key Technologies: AWS (EKS, Fargate, EC2, S3), Terraform, CloudFormation, GitLab, ArgoCD, Docker, Kubernetes, Helm, Cassandra, OTel, Grafana, Splunk, Karpenter, Python, Bash. Desirable: Experience with Google Cloud Platform (GCP More ❯

bringing expertise, precision, and a passion for automation to keep environments resilient, secure, and future-ready. This is an opportunity to work on systems processing billions of transactions, where performance, stability, and engineering excellence are essential. What You'll Be Doing Infrastructure Engineering Build, maintain, and optimise enterprise-grade infrastructure platforms Select and implement technologies that maximise performance and efficiency Incident Management Monitor infrastructure performance and proactively identify issues Use data-driven approaches to reduce MTTR and improve reliability Automation Automate repetitive tasks to reduce manual effort Apply scripting and coding practices to drive operational efficiency Security Implement secure configurations and protect systems from vulnerabilities Ensure hardware, software, and data environments operate securely Collaboration Work alongside … CA, DB2 Connect, Data Studio) Solid knowledge of TSO, JCL, REXX, SQL and core mainframe OS tools Several years of hands-on DB2 systems programming experience Strong understanding of performance tuning and monitoring Highly Valued Experience with DevOps tooling (VS Code, Db2 Developer Extensions) Exposure to z/OSMF Familiarity with Broadcom and IBM Db2 tools Knowledge of More ❯

model integration. Strong knowledge of distributed runtimes and scheduling frameworks (e.g. Ray, Dask, MPI, or custom equivalents). Experience with GPU cluster management (CUDA, NCCL, Triton Inference Server) and performance tuning across accelerators. Solid grasp of cloud-native orchestration (Docker, Kubernetes, Helm) and observability tooling (Prometheus, Grafana, Jaeger). Proven ability to translate cutting-edge research into engineered … globally. Why this role stands out Influence how next-generation LLM services are built and delivered to millions of users worldwide. Operate at the intersection of distributed systems, high-performance computing, and AI research. Join a global R&D organisation with unmatched resources, where innovation isn t just encouraged it s expected. This role is designed for an engineer More ❯

model integration. Strong knowledge of distributed runtimes and scheduling frameworks (e.g. Ray, Dask, MPI, or custom equivalents). Experience with GPU cluster management (CUDA, NCCL, Triton Inference Server) and performance tuning across accelerators. Solid grasp of cloud-native orchestration (Docker, Kubernetes, Helm) and observability tooling (Prometheus, Grafana, Jaeger). Proven ability to translate cutting-edge research into engineered … globally. Why this role stands out Influence how next-generation LLM services are built and delivered to millions of users worldwide. Operate at the intersection of distributed systems, high-performance computing, and AI research. Join a global R&D organisation with unmatched resources, where innovation isn’t just encouraged — it’s expected. This role is designed for an engineer More ❯

s Logging, Monitoring, and Alerting (LMA) capability, working on the design, maintenance, and optimisation of Elastic stacks and clusters. The role requires hands-on experience with data ingestion pipelines, performance tuning, and building effective visualisations from large data sets. Key Skills & Experience: 2+ years as an ELK SME (Elastic, Logstash, Kibana) Proven experience designing, managing, and tuning More ❯

functional teams to translate business requirements into technical solutions.Provide technical leadership, mentorship, and code reviews to ensure high standards of development.Define and enforce best practices for coding, design patterns, performance optimization, and cloud-native development.Manage and optimize microservices architecture for scalability, availability, and maintainability.Oversee integration of front-end (React) with back-end APIs.Ensure application security, performance, and reliability … Kubernetes).Proficiency in relational and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.).Knowledge of CI/CD tools (Jenkins, GitLab CI, GitHub Actions, etc.).Strong understanding of security principles and performance tuning.Excellent problem-solving, communication, and leadership skills. Nice to Have Experience with GraphQL and API Gateway.Exposure to Kafka, RabbitMQ, or other messaging frameworks.Familiarity with automated testing frameworks (JUnit, Jest More ❯

Java Backend Developer with strong expertise in Spring Boot and Microservices architecture to join our growing engineering team. The ideal candidate will have hands-on experience building scalable, high-performance backend systems and APIs. Key Responsibilities: 1. Design, develop, and maintain scalable backend services using Java, Spring Boot, and Microservices. 2. Implement RESTful APIs and integrate with third-party … reviews and mentor junior developers. 6. Troubleshoot production issues and implement fixes. 7. Work with containerization tools like Docker and orchestration tools like Kubernetes. 8. Implement logging, monitoring, and performance tuning. Required Skills & Experience: 1. 7+ years of hands-on experience in backend development with Java (Java 8 or higher). 2. Strong knowledge and experience with Spring Boot More ❯