126 to 150 of 847 Observability Jobs in the UK

cloud engineering or a related technical role. Hands-on experience with Microsoft Azure , including AKS and IaC tooling such as Terraform . Strong understanding of cloud-native monitoring and observability tools . Solid knowledge of containerisation and container security ( Docker, Kubernetes ). Experience implementing security best practices and controls in cloud environments. Relevant Azure certifications (or equivalent experience) preferred. Highly More ❯

and Argo Troubleshoot production issues and keep uptime high What You’ll Bring Strong commercial DevOps experience with AWS, Docker, and Kubernetes Solid grounding in IaC (Terraform) and modern observability tools Understanding of cloud security, access control, and network resilience Collaborative, proactive, and solutions-driven mindset — you get things done Why Join Scale with a fast-growing, global tech business 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 ❯

trends and advancements in cloud computing, AWS services, and distributed systems. Advocate for and implement cloud architecture best practices, including CI/CD pipelines, Infrastructure as Code (IaC), and observability tools. Mentor and guide junior architects and engineers in cloud technologies and distributed systems. Qualifications and Requirements Experience 8+ years in cloud architecture, with a strong focus on AWS. Proven More ❯

in Git, SQL optimisation, and async architecture. Excellent communicator who values clarity, documentation, and collaboration. Nice to Have Experience with Supabase , Kubernetes , Docker , Azure , GitHub Actions , vector databases , or observability tools like Prometheus , Grafana , and Langfuse . What Success Looks Like 3 months: You’ve established your 1:1 rhythm, shipped your first automation workflow, and built a trusted partnership 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 ❯

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 ❯

services/message buses and other architectural elements Deploy these applications using features such as containers to cloud leveraging CI/CD to support this process backed with good observability when running these in production Ensure quality through the creation of documentation and use of unit/integration/contract testing with a consideration of security/performance requirements We More ❯

or a related technical role. Strong, hands-on experience with Microsoft Azure, including services such as AKS and IaC tooling like Terraform. Solid understanding of cloud-native monitoring and observability tools Proficiency with infrastructure-as-code practices and tools (Terraform, HashiCorp ecosystem). Good knowledge of containerisation and container security, including Docker and Kubernetes. Relevant Azure certifications or equivalent experience. More ❯