76 to 100 of 561 Observability Jobs in London

UI. Exposure to micro frontend architecture (e.g., Module Federation or Single-SPA). Experience with cloud-native DevOps tooling: Docker, Kubernetes, AWS/GCP deployments. Proficiency in analytics and observability tools like Sentry, Datadog, or LogRocket. Soft Skills Strategic thinker with strong problem-solving and decision-making skills. Ability to work in fast-paced, agile environments with cross-functional teams. More ❯

Azure pipelines) Test automation following Test Driven Development Practices including Unit, Integration and end-to-end testing Supporting a highly-available production system, diagnosing issues raised from logs and observability tooling (Dynatrace), triage and resolution. Company Benefits A Competitive Salary, Pension Scheme and Life Assurance Along with 25 Days Annual Leave plus an Additional Day on us for your Birthday More ❯

platforms like App Store , or Play Store . Familiarity with CI/CD pipelines , testing frameworks , and DevOps principles . Exposure to cloud-native environments (AWS, Docker, K8s) and observability tools (Prometheus, Grafana) is a plus. Passionate about mentoring , code reviews , and collaborative development . Energized by fast-paced, regulated environments where speed, quality, and adaptability matter. Your Technical Toolkit More ❯

databases and retrieval strategies. Knowledge of recommender systems and ranking models. Familiarity with LLM evaluation tools (e.g., RAGAS, TruLens, LangSmith, Arize). Exposure to feature stores, data lineage, and observability stacks. Experience in e-commerce or retail environments. Demonstrable ability to weigh up build/build/configure decisions in the LLM space. Charlotte Tilbury is a fast-paced and More ❯

architecture and development of backend services using C#, ASP.NET, .NET Core Automate infrastructure, CI/CD pipelines, and cloud operations (AWS/Azure) Promote engineering best practices, security, and observability Mentor engineers and foster a culture of continuous improvement Contribute to technology direction, including adoption of tools like Go and Python What We’re Looking For Deep expertise in C# More ❯

architecture and development of backend services using C#, ASP.NET, .NET Core Automate infrastructure, CI/CD pipelines, and cloud operations (AWS/Azure) Promote engineering best practices, security, and observability Mentor engineers and foster a culture of continuous improvement Contribute to technology direction, including adoption of tools like Go and Python What We’re Looking For Deep expertise in C# More ❯

direct impact. What You’ll Be Doing Designing, building, and maintaining infrastructure across AWS and GCP . Deploying and managing services with Kubernetes and Terraform . Implementing automation and observability tools such as Grafana and GitHub Actions . Collaborating closely with software engineers to deliver scalable and secure systems. Applying solid security and compliance fundamentals — basic SOC knowledge is a More ❯

direct impact. What You’ll Be Doing Designing, building, and maintaining infrastructure across AWS and GCP . Deploying and managing services with Kubernetes and Terraform . Implementing automation and observability tools such as Grafana and GitHub Actions . Collaborating closely with software engineers to deliver scalable and secure systems. Applying solid security and compliance fundamentals — basic SOC knowledge is a More ❯

running production workloads on Kubernetes (Amazon EKS preferred) You have a good knowledge of DevOps practices including CI/CD, IaC (Terraform) and container orchestration You have experience with observability tooling You have a solid understanding of secure coding and deployment practices You're collaborative and pragmatic with great communication skills Apply now to find out more about this Backend More ❯

running production workloads on Kubernetes (Amazon EKS preferred) You have a good knowledge of DevOps practices including CI/CD, IaC (Terraform) and container orchestration You have experience with observability tooling You have a solid understanding of secure coding and deployment practices You're collaborative and pragmatic with great communication skills Apply now to find out more about this Backend More ❯

design and evolution of our API schemas, ensuring they meet the complex demands of a rapidly growing platform. Champion best practice in code quality, automated testing (Vitest, Playwright) and observability to deliver resilient, maintainable, and production-ready business logic. Drive DevOps excellence by collaborating on CI/CD pipelines (Jenkins, Concourse), containerisation (Docker) and Kubernetes deployments. Mentor and empower fellow More ❯

scale. Key Responsibilities Build, deploy and maintain machine learning models as APIs, streams, and batch services Partner with Data Scientists to industrialise prototypes into production-ready applications Lead on observability, CI/CD automation, and monitoring for ML workflows Develop cloud-native infrastructure using Docker, Kubernetes, and Terraform Contribute to shared ML tooling and experimentation platforms Ensure best practices in More ❯

scale. Key Responsibilities Build, deploy and maintain machine learning models as APIs, streams, and batch services Partner with Data Scientists to industrialise prototypes into production-ready applications Lead on observability, CI/CD automation, and monitoring for ML workflows Develop cloud-native infrastructure using Docker, Kubernetes, and Terraform Contribute to shared ML tooling and experimentation platforms Ensure best practices in More ❯

data ingestion from diverse and complex sources. Model and optimise data for performance, visibility, and downstream analytics/ML use cases. Champion best practices: CI/CD, TDD, GitOps, observability, schema validation, and data quality. Collaborate with data scientists and ML engineers to deploy production-grade AI/ML systems. Guide clients on data strategy, architecture, and platform modernisation. Mentor More ❯

data ingestion from diverse and complex sources. Model and optimise data for performance, visibility, and downstream analytics/ML use cases. Champion best practices: CI/CD, TDD, GitOps, observability, schema validation, and data quality. Collaborate with data scientists and ML engineers to deploy production-grade AI/ML systems. Guide clients on data strategy, architecture, and platform modernisation. Mentor More ❯

treating pods as first-class citizens in a highly available, BGP-based leaf/spine fabric Lead systems administration on Ubuntu and RHEL systems, tuning OS configurations for performance, observability, and compliance Develop services like DNS-based discovery and egress gateways for smart routing of financial traffic Automate infrastructure using Terraform, Ansible, Git, and CI/CD tooling What we More ❯

cloud environments. Strong communication skills, creativity and a systems-thinking mindset. Curiosity, adaptability and a drive to stay ahead of rapid advancements in GenAI. BENEFICIAL Experience with PromptOps & LLM Observability tools (PromptLayer, LangFuse, Humanloop, Helicone, LangSmith). Understanding of Responsible AI, model safety, bias mitigation, evaluation frameworks and governance. Background in Computer Science, AI/ML, Engineering, or related fields. More ❯

frontend technologies such as HTML, CSS, HTMX, React Experience of C# with .NET Web and API development Understanding of git, CI/CD and DevOps practices and experience in Observability/monitoring Any knowledge of Actuarial/Commercial Insurance Some exposure to or interest in Terraform and deployment pipelines in AWS or Azure Awareness of modern software techniques such as More ❯

with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working More ❯

with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working More ❯

with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working More ❯

with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working More ❯

with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working More ❯

with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working More ❯

Helm Charts Cloud experience (AWS and/or Azure) Even better if you also have skills across: Certificate management (ZeroSSL, Let's Encrypt) Argo Workflows & ArgoCD Continuous Delivery tooling Observability tools (Grafana, Prometheus) ESSENTIAL SKILLS The right candidate will possess at least the following skills, if not more: 3+ years of professional experience in infrastructure management Fluent with creating and More ❯