26 to 50 of 1,795 Observability Jobs in London

both verbal and written undefined Additional Technical Skills Cloud Platforms: (e.g. AWS, GCP, Azure) CI/CD Tooling: (e.g. GitHub Actions, ArgoCD, Harness) Monitoring & Observability: (e.g. Prometheus, Grafana, Coralogix, OpenTelemetry) Infrastructure as Code: (e.g. Terraform, Pulumi) Config Management: (e.g. Ansible, Puppet, Chef) Programming/Scripting: (e.g. Python, Go, Bash) Soft ...

across multiple teams. Automate infrastructure provisioning using Infrastructure as Code tools such as Terraform, CloudFormation, or similar. Monitor system performance, availability, and reliability using observability tools such as Prometheus, Grafana, and ELK stack. Ensure high availability and disaster recovery strategies are in place and tested regularly. Collaborate closely with development ...

pipelines for verifying, building, testing and pushing deployment artefacts Experience in OCI containerisation (e.g. Docker) and associated orchestration technologies such as Kubernetes Experience implementing observability solutions, including centralised logging, monitoring, alerting, and operational dashboards Strong knowledge of infrastructure and cloud security principles and best practices Benefits We believe in supporting ...

such as AWS, Microsoft Azure or Google Cloud. Using collaboration and delivery tools such as Jira, Confluence and Bitbucket within Agile environments. Monitoring and observability using tools such as Elastic Stack and Grafana. Designing, deploying and administering Linux or Unix-based platforms. Implementing Infrastructure as Code and DevSecOps practices. Supporting ...

secure environments. Kubernetes & Platform Engineering Demonstrated hands-on experience with: EKS/Kubernetes production-grade clusters Multi-tenant Kubernetes architectures Platform reliability, scalability and observability DevOps & Automation Experience implementing fully automated CI/CD pipelines using GitHub Actions. Infrastructure as Code using Terraform (mandatory). Configuration and deployment using Helm ...

correctness, explainability, and maintainability. Establish strong engineering practices: code review, automated testing, CI/CD, release management, incident response, and post‐incident learning. Build observability into optimisation services (KPIs, logs, traces) and manage performance tuning (latency, throughput, cost) across environments. Contribute hands‐on when needed (prototyping, critical‐path coding, reviews ...

Compute Engine, Cloud Storage, Cloud SQL, IAM and VPC networking. Implement containerisation and orchestration solutions using Docker and Kubernetes. Establish monitoring, logging, alerting and observability using Google Cloud Operations Suite and other monitoring platforms. Apply security best practices across cloud infrastructure, including IAM, least-privilege access, secrets management, encryption ...

Knowledge and use of at least one common programming language: e.g., Python, Go, C++, Scala, Java, including toolchains for documentation, testing, and operations/observability Expertise in modern software development tools/ways of working (e.g. git/GitHub, devops tools, metrics/monitoring, ...) Cloud expertise (e.g., AWS, Google ...

Compute Engine, Cloud Storage, Cloud SQL, IAM and VPC networking. Implement containerisation and orchestration solutions using Docker and Kubernetes. Establish monitoring, logging, alerting and observability using Google Cloud Operations Suite and other monitoring platforms. Apply security best practices across cloud infrastructure, including IAM, least-privilege access, secrets management, encryption ...

OpenAI. Support our AI and MCP gateway layer, managing access, routing and authentication for AI tools and agents. Apply the same security, identity and observability standards to AI services as the rest of our cloud platform. Look after infrastructure monitoring with Grafana, Prometheus and Log Analytics. Contribute to cloud cost ...

Support the definition and rollout of outcome focussed SOWs, ensuring clear lines of responsibility between different platform focussed product teams. (eg CI/CD, Observability etc) Ensure delivery aligns with DevSecOps best practices (automation, IaC, continuous assurance). Governance & Reporting Define and monitor KPIs/OKRs for product success, including ...

Kubernetes and CI/CD pipelines. Exposure to vector databases, embeddings and RAG architectures. Experience with cloud platforms, particularly AWS. Familiarity with monitoring and observability tools such as Grafana, Prometheus and ELK. Working Environment You will join a technology‐focused team working on innovative AI and data engineering initiatives within ...

operations team. Automate Delivery and Infrastructure: Manage infrastructure using Pulumi or Terraform and improve automated testing and deployment through GitHub Actions. Improve Reliability and Observability: Build effective monitoring, logging, tracing and alerting across our data, service, model and agent infrastructure. What We’re Looking For 7+ years of professional experience ...

Preferred qualifications, capabilities, and skills Advanced knowledge ofCI/CD, application resiliency, and secure delivery (e.g., SLSA framework and GitOps). Deep experience with Observability and Monitoring tools (e.g., Prometheus, Grafana, OTEL). Expertise in performance optimisation of distributed systems (e.g., caching, network latency). Practical experience with Service Mesh ...

Proficiency with Kubernetes , from building and operating services to managing cloud-vendored clusters. A production mindset, with experience improving reliability of production environments through observability, incident response and alerting. Note: Please feel empowered to apply for this position, even if you think you may only align with some ...

support. Perform thoughtful peer reviews that raise code quality and share best practices across the team. Contribute to platform‐wide initiatives that improve reliability, observability, and cost efficiency. Help shape the technical roadmap for data engineering across Elliptic. Leverage and deploy AI and agentic systems to operate more effectively. Tech ...

DynamoDB, Redis, Docker, Kubernetes and Terraform. Experience with event-driven architecture, REST and GraphQL APIs, messaging services and cloud-native infrastructure. A background in observability, automated testing and incident management, using tools such as PyTest, CloudWatch, New Relic or Sentry. Experience introducing AI and machine learning capabilities into backend services ...

Cloud platforms (AWS, Azure or GCP) CI/CD pipelines using tools such as Jenkins or GitLab CI Git and modern software development workflows Observability tooling including logging, metrics and distributed tracing Comprehensive testing across unit, integration and functional layers Maven or Gradle Java concurrency and JVM performance fundamentals What ...

keep Fourth’s testing practices at the leading edge. Experience with CI/CD tooling, e.g. Jenkins, Azure DevOps, and Octopus Deploy. Experience with observability tooling such as Prometheus, Grafana, and Sumo Logic. Benefits Holidays. We all need to rest so you get 25 basic holidays with the option ...

Artifactory or Nexus. Nice-to-Have (Enterprise Tooling & Testing) Experience using Jira and Confluence for development tracking, collaboration, and documentation. Exposure to monitoring and observability platforms such as Splunk, Grafana, Dynatrace, or equivalent tools. Awareness of secrets-management platforms such as HashiCorp Vault and broader enterprise security practices. Experience with ...

processes using BPMN or comparable technologies.* Experience building shared platforms, common services or greenfield technical foundations.* API governance in a multi-team engineering environment.* Observability practices covering logs, metrics and distributed tracing.* Experience working in regulated, financial-services or high-throughput environments.* Exposure to payments, transaction processing or other complex ...

data quality validation, and intelligent developer tooling. Technical Leadership & Excellence Drive engineering best practices: test-driven development (TDD), CI/CD pipelines, containerization, comprehensive observability, and low-latency performance tuning. Take end-to-end ownership of delivery—from requirement analysis and technical design to deployment, production monitoring, and support. Required ...

Kernel, and related ecosystems. Experience building and scaling enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users. Strong understanding of model observability, monitoring, evaluation frameworks, experimentation, reliability, and operational perfection. Expertise in cloud‐native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure ...

/CD pipelines Strong AWS architecture knowledge Experience with large-scale distributed systems Hands-on experience with containerization & orchestration Experience with monitoring and observability tools Solid understanding of infrastructure security British Citizen or right to work in UK (no visa sponsorship available) Strong communication & problem-solving skills Experience working with ...

/CD pipelines, automated testing and continuous delivery. Support containerised applications and microservices using Docker and Kubernetes. Improve system reliability through monitoring, observability and cloud operational best practices. Collaborate with engineering teams and stakeholders to deliver secure, scalable solutions. What We're Looking For Strong hands-on experience with ...