7 of 7 Log Aggregation Jobs in the UK excluding London

party products. Experience with Agile and DevOps methodologies. Proficiency with Linux operating systems. Experience with relational and NoSQL databases such as Postgres, DynamoDB, and others. Familiarity with monitoring and log aggregation tools like Datadog. Experience managing source code control and CI/CD tools like GitHub, Jenkins, or similar. Experience developing multi-tenant SaaS applications on AWS, GCP More ❯

auto-scaling, canary releases, and blue-green deployments. Develop and maintain monitoring and logging dashboards with tools like New Relic, Prometheus, Grafana, and Datadog, ensuring observability through metrics, tracing, log aggregation, and alerting. Help teams determine settings and thresholds for alerts and automations based on application performance requirements. Monitor, optimize, and ensure system reliability and performance using tools More ❯

analysis. Web Services & APIs: Used for Integration with 24+ LBGI systems Batch Processing: Understanding of batch suite performance and scheduling constraints RPA & Automation (Batching): Familiarity with robotic process automation Log Aggregation & Analysis: Tooling for log interrogation and root cause analysis (e.g., Splunk, Dynatrace). Dashboarding: Real-time analytics dashboards for infrastructure and application health Support & Troubleshooting: Remote More ❯

cloud infrastructure – Led or contributed to infrastructure initiatives as a developer (not just a DevOpsspecialist) – Experience deploying and managing containerised applications (e.g., ECS, DockerCompose) Bonus Points: – Metrics, tracing and log aggregation experience – Familiarity with cost management or edge-optimisedmicroservices – Experience with TailwindCSS is always a plus! ****KEY SUMMARY****: – This role is great for a Fullstack Engineer who enjoys More ❯

how to deliver value through monitoring and automation. Desirable Skills and Knowledge: Dashboard tools and development such as Grafana. Experience of automated deployment and management techniques such as Chocolatey. Log aggregation and visualisation tools such as Elastic Stack or the cloud hosted equivalents. Use of Cloud platforms (AWS & Azure) Please get in touch for further details on this More ❯

reconciliation application (including vendor product SMARTSTREAM TLM) is preferable. Good Unix/Linux and Python skills Good Experience with Monitoring tools such as ITRS Geneos, AppDynamics Good Experience with Log Aggregation tools such as ELK, Splunk, Grafana(GEM) is preferred Experience working with Oracle Database Experience with Middleware solutions such as Tibco EMS, Kafka Good written and verbal More ❯

reconciliation application (including vendor product SMARTSTREAM TLM) is preferable. Good Unix/Linux and Python skills Good Experience with Monitoring tools such as ITRS Geneos, AppDynamics Good Experience with Log Aggregation tools such as ELK, Splunk, Grafana(GEM) is preferred Experience working with Oracle Database, Hadoop, Apache Spark, Hive, Starburst Experience with Middleware solutions such as Tibco EMS More ❯