15 of 15 DemandTrendPermanent Grafana Jobs in the City of London

or AWS in enterprise or hybrid environments. - Familiarity with containerisation & orchestration (Docker, Kubernetes). - Solid understanding of security controls and compliance in financial services. - Experience with observability tools (Prometheus, Grafana, ELK, Splunk, AppDynamics, etc.). - Awareness of UK/EU financial regulations (GDPR, PRA/FCA, Lloyd's). - Consulting experience desirable - with the ability to engage senior stakeholders and More ❯

AWS (EKS, RDS, Aurora, ElastiCache, Kafka, IAM) Secure Hosting: Experience working with air-gapped or government-secure environments Container & Cluster Management: Docker, Kubernetes, Rancher, Jenkins, Helm Monitoring & Observability: Prometheus, Grafana, ELK Stack, Dynatrace Secrets & Identity Management: HashiCorp Vault, Keycloak CI/CD & DevOps Tooling: Jenkins, Git, ServiceNow, Trivy, Terraform Streaming & Messaging: Apache Kafka (including Kafka Replication) Data Layers: PostgreSQL, Redis More ❯

AWS (EKS, RDS, Aurora, ElastiCache, Kafka, IAM) Secure Hosting: Experience working with air-gapped or government-secure environments Container & Cluster Management: Docker, Kubernetes, Rancher, Jenkins, Helm Monitoring & Observability: Prometheus, Grafana, ELK Stack, Dynatrace Secrets & Identity Management: HashiCorp Vault, Keycloak CI/CD & DevOps Tooling: Jenkins, Git, ServiceNow, Trivy, Terraform Streaming & Messaging: Apache Kafka (including Kafka Replication) Data Layers: PostgreSQL, Redis More ❯

help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, RDS, S3, IAM, etc.) Configuration Management Ansible Monitoring and Observability Grafana, Prometheus Kubernetes (building and managing production clusters) Terraform (IaC provisioning) Python or Java (scripting, automation) GitHub Actions (CI/CD pipelines) What They’re Looking For Experience in AWS cloud More ❯

knowledge of DevOps tools like Bitbucket/GitHub, Sonar Cube, CAST, Team City/Jenkins/Azure DevOps Expert level knowledge of telemetry and observability platforms like ELK stack, Grafana, Kibana, Azure Application Insights, AWS Cloud Watch etc., Scripting languages preferably python, PowerShell Database technologies preferably MS SQL Server, Postgres SQL Infrastructure as code – AWS Cloudformation/Terraform/Ansible More ❯

knowledge of DevOps tools like Bitbucket/GitHub, Sonar Cube, CAST, Team City/Jenkins/Azure DevOps Expert level knowledge of telemetry and observability platforms like ELK stack, Grafana, Kibana, Azure Application Insights, AWS Cloud Watch etc., Scripting languages preferably python, PowerShell Database technologies preferably MS SQL Server, Postgres SQL Infrastructure as code – AWS Cloudformation/Terraform/Ansible More ❯

help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, RDS, S3, IAM, etc.) Configuration Management Ansible Monitoring and Observability Grafana, Prometheus Kubernetes (building and managing production clusters) Terraform (IaC provisioning) GitHub Actions (CI/CD pipelines) What They’re Looking For Experience in AWS cloud infrastructure (ideally in a regulated More ❯

Kubernetes, Docker, Helm Proficient in Terraform, CI/CD Pipelines (Drone/GitLab) Excellent understanding of Kafka internals, stream processing, and secure Kafka deployments Strong experience across monitoring (Prometheus, Grafana, CloudWatch) Knowledge of security hardening, IAM, WAF, Shield, Vault Working knowledge of Agile, Infrastructure-as-Code, and DevSecOps practices UK*C or Enhanced DV (eDV) Clearance is a must To More ❯

Kubernetes, Docker, Helm Proficient in Terraform, CI/CD Pipelines (Drone/GitLab) Excellent understanding of Kafka internals, stream processing, and secure Kafka deployments Strong experience across monitoring (Prometheus, Grafana, CloudWatch) Knowledge of security hardening, IAM, WAF, Shield, Vault Working knowledge of Agile, Infrastructure-as-Code, and DevSecOps practices UK*C or Enhanced DV (eDV) Clearance is a must To More ❯

Comfortable managing deployments using CI/CD pipelines (Github Actions, Jenkins, etc.) *Solid understanding of cloud infrastructure including AWS, Kubernetes, and contect delivery *Exposure to observability tooling (Datadog, Sentry, Grafana) and performance tuning best practice Reference Number: BBBH(phone number removed) To apply for this role or for to be considered for further roles, please click "Apply Now" or contact More ❯

incidents The Person: *5+ years in SRE, DevOps, or infrastructure engineering *Strong experience with AWS, EKS/Kubernetes, and Terraform *Familiar with Kafka and observability tools like Datadog or Grafana *Able to troubleshoot issues across infrastructure and application layers Reference number: BBBH(phone number removed) To apply for this role or for to be considered for further roles, please click More ❯

also have experience with one or more Edge/IoT computing (we have a fleet of deployed edge computers). infrastructure management (we use Salt). monitoring (we use Grafana). video processing & streaming (we use Gstreamer). experience interfacing ML models (we use PyTorch). High Intrinsic motivation to success and ability to work hard. Computer Science Degree from More ❯

also have experience with one or more Edge/IoT computing (we have a fleet of deployed edge computers). infrastructure management (we use Salt). monitoring (we use Grafana). video processing & streaming (we use Gstreamer). experience interfacing ML models (we use PyTorch). High Intrinsic motivation to success and ability to work hard. Computer Science Degree from More ❯

evolving AI technologies, data strategies, and toolchains Bonus Points: Experience building or scaling human-in-the-loop systems or teleoperations Skilled with analytics tools and dashboard platforms (e.g. Looker, Grafana, Tableau) Background in R&D or applied ML environments with high feedback iteration cycles Experience managing distributed or international operations More ❯

evolving AI technologies, data strategies, and toolchains Bonus Points: Experience building or scaling human-in-the-loop systems or teleoperations Skilled with analytics tools and dashboard platforms (e.g. Looker, Grafana, Tableau) Background in R&D or applied ML environments with high feedback iteration cycles Experience managing distributed or international operations More ❯