1 to 25 of 86 Permanent Prometheus Jobs in London

CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker, Kubernetes). Experience with monitoring/logging tools (Prometheus, Grafana, Splunk, ELK, CloudWatch). Professional level of English (spoken and written), enabling effective communication across international teams. Excellent problem-solving, analytical, and communication skills. Ability to work in a More ❯

CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker, Kubernetes). Experience with monitoring/logging tools (Prometheus, Grafana, Splunk, ELK, CloudWatch). Professional level of English (spoken and written), enabling effective communication across international teams. Excellent problem-solving, analytical, and communication skills. Ability to work in a More ❯

Services – EC2, RDS, S3, IAM, Lambda, CloudWatch) Infrastructure as Code: Terraform Containerisation & Orchestration: Docker, Kubernetes (EKS), Helm Configuration Management: Ansible CI/CD Pipelines: GitHub Actions Monitoring & Observability: Grafana, Prometheus Scripting/Automation: Python or Java What We’re Looking For Proven experience managing and scaling AWS cloud environments , ideally supporting live software products or high-traffic platforms. Strong background More ❯

pipelines and lead Infrastructure as Code (Terraform, CloudFormation). Implement DevSecOps best practices to meet HIPAA, SOC 2, and ISO 27001 requirements. Monitor system performance and availability using CloudWatch, Prometheus, Grafana, and related tooling. Collaborate with engineering, security, and product teams to drive end to end reliability. Qualifications Experience 6+ years of DevOps/SRE experience in cloud environments (AWS More ❯

and pragmatic with great communication skills You hold a technical degree Ideally you will also have some experience with one of the following: Containerization (Docker/Kubernetes), monitoring tools (Prometheus/Grafana/ELK stack/Splunk), IaC tooling (Terraform, Ansible etc.) What's in it for you: As a Platform Engineer you will receive a competitive package: Salary to More ❯

and pragmatic with great communication skills You hold a technical degree Ideally you will also have some experience with one of the following: Containerization (Docker/Kubernetes), monitoring tools (Prometheus/Grafana/ELK stack/Splunk), IaC tooling (Terraform, Ansible etc.) What's in it for you: As a Platform Engineer you will receive a competitive package: Salary to More ❯

and pragmatic with great communication skills You hold a technical degree Ideally you will also have some experience with one of the following: Containerization (Docker/Kubernetes), monitoring tools (Prometheus/Grafana/ELK stack/Splunk), IaC tooling (Terraform, Ansible etc.) What's in it for you: As a Platform Engineer you will receive a competitive package: Salary to More ❯

like Terraform or AWS CloudFormation to automate provisioning and deployments Monitoring & Performance : Help set up monitoring, alerting, and performance optimisation for cloud systems using tools like CloudWatch, Datadog, or Prometheus Security & Compliance : Support cloud security efforts, including identity and access management, encryption, and compliance monitoring CI/CD Pipelines : Work with DevOps teams to automate build, test, and deployment workflows More ❯

Continuous Deployment/Delivery • Containers – Docker, Kubernetes etc. • Configuration Management – Ansible, Chef, Puppet etc. • Cloud – AWS preferred; multi clould experience ie with Azure, GCP etc. highly desirable • Monitoring – ELK, Prometheus, Splunk, Grafana, etc. • Experience in one of the following scripting language: Java, Bash, Python, Powershell, Golang, etc. • Experience working with Linux and/or Windows systems About you (ideally): • Demonstrate More ❯

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

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

in Terraform, Ansible, Jenkins, or GitLab CI Knowledge of Kafka, Cassandra, and relational or NoSQL databases Scripting skills in Python, Bash, Go, or Java Familiarity with monitoring tools like Prometheus, Nagios, or Icinga Understanding of networking fundamentals and virtualisation (e.g. VMware) Comfortable with on-call rotations and troubleshooting in live environments 💰 Up to £600 per day (Inside IR35) 📍 London | Hybrid More ❯

in Terraform, Ansible, Jenkins, or GitLab CI Knowledge of Kafka, Cassandra, and relational or NoSQL databases Scripting skills in Python, Bash, Go, or Java Familiarity with monitoring tools like Prometheus, Nagios, or Icinga Understanding of networking fundamentals and virtualisation (e.g. VMware) Comfortable with on-call rotations and troubleshooting in live environments 💰 Up to £600 per day (Inside IR35) 📍 London | Hybrid More ❯

/GKE), Docker, Helm Backend/Frontend: Java 21, Spring Boot 3.x, Angular 15+, React 18+, REST APIs CI/CD & DevSecOps: Jenkins, GitHub/GitLab/BitBucket, SonarQube, Prometheus, Grafana, ELK Stack Security & Secrets Management: OAuth2/OpenID Connect, HashiCorp Vault, CyberArk This is a high-impact leadership role offering the opportunity to shape the bank's engineering capability More ❯

AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code: Terraform, CloudFormation Monitoring: Prometheus, Grafana, ELK Security & Compliance: Data protection and access control Nice-to-Haves AI/ML integration (PyTorch, HF etc.) MLOps (MLflow, Kubeflow, SageMaker) Vector search (Pinecone, pgvector, Weaviate, Qdrant etc. More ❯

AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code: Terraform, CloudFormation Monitoring: Prometheus, Grafana, ELK Security & Compliance: Data protection and access control Nice-to-Haves AI/ML integration (PyTorch, HF etc.) MLOps (MLflow, Kubeflow, SageMaker) Vector search (Pinecone, pgvector, Weaviate, Qdrant etc. More ❯

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 or More ❯

full-time, 5 days a week) Salary - Perm up to 80K gross Minimum requirement: 12+ years of profile PFB updated JD Core Competencies/Responsibilities Datadog, Splunk, Dynatrace, Grafana, Prometheus, Thousand Eyes, Gremlin, etc. Efficiency in creating dashboards for Infra/APM/E2E workflows. Monitoring, logging, alerting and error budgets (SLA metrics: 99.9, 99.99, 99.999%) for software, operations and More ❯

Scale-up Experience Strong cloud skills (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Experience in automating deployments and orchestrating cloud environments Nice to have: Python (Jupyter, PyTorch), monitoring tools (Prometheus, Grafana), cloud databases (RDS, Aurora, Spanner), CI/CD tools (CircleCI), and data visualisation experience. This is a unique opportunity to join a visionary team redefining AI in 3D , with More ❯

and orchestration (Docker, Kubernetes). Ability to manage and optimize large-scale cloud infrastructure. Familiarity with Python (Jupyter) and ML frameworks (e.g., PyTorch). Experience with cloud monitoring tools (Prometheus, Grafana). Exposure to cloud-based databases (RDS, Aurora, Spanner, etc.) and data-visualisation tools. Knowledge of CI/CD tools (e.g., CircleCI). More ❯

and orchestration (Docker, Kubernetes). Ability to manage and optimize large-scale cloud infrastructure. Familiarity with Python (Jupyter) and ML frameworks (e.g., PyTorch). Experience with cloud monitoring tools (Prometheus, Grafana). Exposure to cloud-based databases (RDS, Aurora, Spanner, etc.) and data-visualisation tools. Knowledge of CI/CD tools (e.g., CircleCI). More ❯

orchestration (Docker, Kubernetes, Terraform). Skilled in cloud platforms (AWS, GCP, or Azure). Bonus points for: Familiarity with ML frameworks (PyTorch, Jupyter). Knowledge of cloud monitoring tools (Prometheus, Grafana). Experience with cloud-based databases (RDS, Aurora, Redshift, Spanner, etc.). Exposure to CI/CD pipelines (e.g., CircleCI). What's on offer: The chance to shape More ❯

GCP, or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent). Understanding of ML concepts. You don't need to train models, but you should speak the language of Research Engineers and understand their constraints. A More ❯

GCP, or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent). Understanding of ML concepts. You don't need to train models, but you should speak the language of Research Engineers and understand their constraints. A More ❯

GCP, or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent). Understanding of ML concepts. You don't need to train models, but you should speak the language of Research Engineers and understand their constraints. A More ❯