9 of 9 Grafana Jobs in the Thames Valley

testing practices (integration, automation). Problem-solving, collaboration, and growth mindset. Nice to have: Containerisation and orchestration (Docker, Kubernetes). Infrastructure as Code (Terraform, Ansible). Observability tools (Prometheus, Grafana, Databricks). What To Expect Next: 1st stage: Introduction call with a member of the TA team (30 mins) 2nd stage: Hiring manager interview (60 mins) What We Offer: Early More ❯

Strong knowledge of containerisation (e.g., Docker) and orchestration (e.g., Kubernetes). Deep understanding of cloud security principles: IAM, network security, encryption. Experience with monitoring/alerting tools (e.g., Prometheus, Grafana, ELK stack). Proficient in Git or other version control systems. Desirable Knowledge, Skills and Experience: Certifications in OCI or other cloud platforms (AWS, GCP). Experience with security tools More ❯

teams to automate deployment, monitoring, and infrastructure management. Ensure platform and business application reliability and performance against strict SLAs and KPIs. Implement and maintain cloud-native observability stacks (Prometheus, Grafana, Loki, Tempo). Develop and maintain Infrastructure as Code (IaC) using tools like Kustomize or Helm. Manage CI/CD pipelines using Tekton and ArgoCD. Support and troubleshoot OpenShift Operators More ❯

teams to automate deployment, monitoring, and infrastructure management. Ensure platform and business application reliability and performance against strict SLAs and KPIs. Implement and maintain cloud-native observability stacks (Prometheus, Grafana, Loki, Tempo). Develop and maintain Infrastructure as Code (IaC) using tools like Kustomize or Helm. Manage CI/CD pipelines using Tekton and ArgoCD. Support and troubleshoot OpenShift Operators More ❯

Ansible Linux Administration Redhat family OS, including RHEL, Alma and some legacy CentOS Core internet applications protocols DHCP/DNS Monitoring Systems Icinga2/Elastic Stack/InfluxDB/Grafana Application and network security best practices SSH/Iptables/TLS AWS (EC2/VPS/RDS/EKS/S3) Terraform Databases PostgreSQL/MySQL CI/CD and More ❯

Ansible Linux Administration – Redhat family OS, including RHEL, Alma and some legacy CentOS Core internet applications protocols – DHCP/DNS Monitoring Systems – Icinga2/Elastic Stack/InfluxDB/Grafana Application and network security best practices – SSH/Iptables/TLS AWS (EC2/VPS/RDS/EKS/S3) Terraform Databases – PostgreSQL/MySQL CI/CD and More ❯

Experience working in Agile environments Strong understanding of Site Reliability Engineering (SRE) principles Familiarity with Azure DevOps for CI/CD and pipeline management Knowledge of observability tools: Prometheus, Grafana, Loki, Tempo Experience with Infrastructure as Code: Helm, Kustomize Hands-on experience with Tekton and ArgoCD Ability to support and troubleshoot OpenShift Operators (ServiceMesh, ODF, ACS, ACM, AMQ) Understanding of More ❯

architecture are key. What You’ll Be Working With: MySQL , Vitess , and Linux in production (Dont worry if you haven't worked with Vitess) Monitoring tools like Prometheus and Grafana Shard allocation, replication tuning, disk performance Backup, restore, and DR testing Data migrations and custom table loads for NHS tenants Zero-downtime patching and performance baselining What You’ll Bring More ❯

API endpoints and overseeing model deployment workflows to ensure seamless integration and scalability. Key Responsibilities: Platform Operations & Monitoring • Monitor ML model endpoints and overall platform health using tools like Grafana and Domino Data Lab. • Respond to incidents and alerts, perform code fixes, manage incidents internally and manages changes through ServiceNow • Interface directly with Domino Data Lab support to resolve model … monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and alerting. • Good to have hands-on experience with Domino Data Lab platform. • Solid understanding of CI/CD pipelines, version control, containerization, and orchestration. • Ability to communicate More ❯