76 to 100 of 321 Observability Jobs in London

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

A leading software platform in London is seeking a Principal Site Reliability Engineer to focus on scaling and hardening their AWS- and Kubernetes-based infrastructure. The successful candidate will oversee SRE practices, guide automation efforts ...

Responsibilities:* System Reliability & Performance:* - Design, build, and maintain the availability, scalability, and performance of critical services.* - Develop and maintain robust monitoring, alerting, and observability systems (e.g., using AWS CloudWatch, Dynatrace) to ensure rapid issue detection and resolution.* - Monitor infrastructure capacity and performance, providing analysis and suggestions for service delivery improvement. … high preference for AWS.* Solid understanding of networking, containers (Docker, Kubernetes), and Infrastructure as Code (e.g., Terraform, Ansible).* Experience with modern monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, Splunk, Dynatrace).* Proven analytical and problem-solving abilities with experience in a high-pressure environment.* Excellent communication skills ...

Telemetry and Observability Engineer (Inside IR-35) London/Hybrid (3 days on-site) I'm working with a global organisation building next-generation cloud-native and observability platforms at enterprise scale, and they're looking for a strong Senior Observability Engineer to join the team. This is a high … impact role focused on scalable telemetry pipelines, monitoring, alerting, reliability engineering, and embedding observability across complex distributed systems and Kubernetes environments. Key experience needed: * Observability/SRE/Platform Engineering background * OpenTelemetry , Prometheus, Grafana, Splunk, Elastic, Loki, or Jaeger * Kubernetes, microservices, and cloud-native platforms * Python, Go, or Java * Terraform ...

including network protocols, DNS, VPN, Load Balancing and Firewall • Experience with Prometheus, Grafana, Dynatrace, AppDynamics, Splunk, or AIOps on Azure Cloud or any similar observability tooling • Experience in SRE and/or DevOps roles, with working knowledge in SRE principles including automation a considerable plus The successful DevOps Engineer must ...

systems and microservices architecture AI Skills mandatory Angular or TypeScript (full-stack capability beneficial) Cloud and containerisation technologies CI/CD, automated testing, and observability tooling Requirements Strong experience in Java and backend development Experience building and scaling distributed systems in production environments Solid understanding of software architecture and system ...

Lambda, API Gateway, S3, DynamoDB, IAM) Event-driven systems (Kafka, SNS/SQS) Databases (Postgres, DynamoDB, Couchbase) CI/CD (Concourse, Git workflows) Observability (Prometheus, Grafana, CloudWatch) What You’ll Bring Strong backend engineering experience (Python preferred) Experience building and supporting microservices in production Good understanding of event-driven architectures ...

development You have hands-on experience deploying LLMs and multi-modal models at scale in production You have a strong understanding of scalable MLOps, observability and cloud-native AI deployment You're collaborative and pragmatic with advanced stakeholder communication, problem-solving and project management skills in Agile environments Experience with ...

continuous improvement Create performant screening and trade discovery tools Work closely with traders and quants to turn analytical requirements into production systems Improve observability, deployment processes, and developer experience across the platform What you will need Strong software engineering fundamentals across architecture, design, and quality practices 5+ years’ experience ...

responsible for building and maintaining scalable backend services, APIs, and integrations, designing microservices and event-driven architectures, implementing CI/CD, observability, and monitoring, and ensuring systems are secure, reliable, and performant. You'll also play a key role in technical strategy, code quality, and engineering standards, helping shape ...

Ruby on Rails monolith, building data models, APIs, and business logic services Delivering your work using agile methodologies and tools like tests, observability, AB‐tests, and feature flags Analyzing data to identify problems and generate new ideas, using various sources such as our database, application logs, and user research data ...

Design and implement APIs in FastAPI for AI workflows and product features • Build and scale LangGraph-based multi-agent systems with checkpointing, retries, and observability • Integrate vector search, knowledge graphs, and retrieval pipelines into production services • Deploy services on GCP (Cloud Run/GKE) and improve performance, reliability, and cost ...

supportive culture Our stack (today) Backend: Python, Flask Data: Postgres Cloud: AWS Edge: Cloudflare Infrastructure as Code: Terraform Delivery: CI/CD, automated testing, observability tooling How we work Pragmatic, high-ownership teams with a bias to shipping Clear communication, strong collaboration, and continuous improvement Code reviews and sensible standards ...

supportive culture Our stack (today) Backend: Python, Flask Data: Postgres Cloud: AWS Edge: Cloudflare Infrastructure as Code: Terraform Delivery: CI/CD, automated testing, observability tooling How we work Pragmatic, high-ownership teams with a bias to shipping Clear communication, strong collaboration, and continuous improvement Code reviews and sensible standards ...