1 to 25 of 99 Permanent Observability Jobs in the North of England

Cover on-call rotation for production support (1 week out of 6) As well as making improvements to: • Deployment automation and release management processes • Application and infrastructure monitoring and observability • Security scanning and vulnerability management in pipelines • Performance optimization and capacity planning • Development team productivity through tooling and automation What we would like from you • Strong experience with CI/ More ❯

DynamoDB, S3, IAM, and RDS. Understanding of DevOps practices, including CI/CD pipelines and automation. Strong knowledge of cloud security best practices, IAM policies, and networking. Experience with observability tools like CloudWatch, Prometheus, or Grafana. Preferred: Experience mentoring junior team members and promoting DevOps practices. Familiarity with multi-cloud environments (e.g., GCP, Azure). Knowledge of database performance optimisation. More ❯

Jenkins, Spinnaker). Security & Reliability: Embed secure-by-design principles from architecture to runtime, safeguarding colleagues and customers. Performance & Automation: Define and operate against SLOs/SLIs, implement actionable observability, performance tuning, and automation to reduce toil. API-First Enablement: Enable API-first delivery with reusable patterns and golden paths for API producers and consumers. Community & Mentorship: Mentor engineers, contribute More ❯

AWS infrastructure with Terraform or CloudFormation. Develop and enhance CI/CD pipelines for microservice deployments. Embed DevSecOps best practices across IAM, networking and compliance. Improve performance, reliability, and observability with CloudWatch, Datadog or Prometheus. Collaborate with Agile teams to deliver high-quality, secure software at scale. Key Skills: Strong Node.js/NestJS and REST API development experience. Skilled in More ❯

Implement and manage CI/CD pipelines using Azure DevOps or GitHub Actions. Apply Infrastructure as Code (IaC) with AWS CDK, Terraform, or CloudFormation. Ensure application security, monitoring, and observability using AWS CloudWatch, X-Ray, and IAM best practices. Collaborate with cross-functional teams to deliver high-quality solutions. (Optional) Support front-end development using React.js or Blazor. Skills and More ❯

Proven experience with GitLab CI/CD runners (autoscaling, Docker, configuration) Strong knowledge of Terraform or other IaC tooling Experience with containerisation and image management (Docker, ECR) Familiar with observability and logging tools (Prometheus, Grafana, CloudWatch, etc.) Excellent communication and collaboration skills Experience supporting and mentoring junior engineers in a fast-paced environment, fostering knowledge-sharing and best practices We More ❯

CI/CD pipelines to enable fast, reliable releases Implement cloud-native deployments with Kubernetes , Docker , and Helm Collaborate with developers to remove delivery bottlenecks Enhance monitoring, logging, and observability Support cloud security & ISO compliance best practices Key skills: Proven experience in DevOps engineering with automated CI/CD pipelines Strong knowledge of Terraform , Azure , Kubernetes , and Helm Hands-on More ❯

Solid understanding of DevOps principles, tools, and CI/CD pipelines using Azure DevOps, Git, and GitHub. Experience with Docker and Kubernetes containerization and orchestration. Familiarity with monitoring and observability tools: Azure Monitor, Log Analytics, Application Insights. Knowledge of identity, access management, governance, and compliance in Azure. Strong troubleshooting and root-cause analysis skills across cloud and hybrid infrastructures. Excellent More ❯

backend projects. • Knowledge of container orchestration (e.g., Kubernetes). • Experience with mobile application development (Android/iOS). • Knowledge of C# or other backend languages. • Familiarity with monitoring and observability tools (Grafana, Prometheus, etc.). • Experience with AI-assisted development tools (e.g., Copilot, ChatGPT integrations). Attributes & Behaviours • Clear, professional communication with customers and colleagues. • Strong problem-solving and troubleshooting More ❯

platform capabilities (Azure/GCP). • Hands-on expertise in Terraform, Kubernetes, CI/CD (Azure DevOps, Jenkins, GitHub Actions). • Strong understanding of API-first architecture, security, and observability (SLO/SLI). • Banking or financial services background preferred. More ❯

scalability and resilience in applications handling large volumes of traffic and burst events. Work collaboratively with cross-functional teams, including DevOps, Infrastructure, and Product, to deliver robust systems. Leverage observability tools to monitor, alert, and troubleshoot application and integration health. Stay current on AI-driven software development practices (e.g., GPT-assisted development, Agentic AI workflows) and suggest practical implementations. Participate 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 ❯

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 ❯

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 ❯

C#, .NET 8.0, Redis, MongoDb, SQL Server, Entity Framework, MassTransit, Mediator Frontend:React, Next.js, TypeScript Infrastructure: Azure, Docker, Kubernetes (AKS), Nginx, RabbitMQ Architecture: Microservices, Event-driven patterns, Clean Architecture Observability and Monitoring: Grafana, Loki, Sentry, PostHog Tooling and Practices: Git, CI/CD pipelines, Agile methodologies What We're Looking For Proven experience leading software delivery within a microservice-based More ❯

in production (AKS): cluster operations, node pools, networking (CNI), RBAC and workload identity. Experience with GitOps, and container build pipelines (ACR, OPA policies, image scanning). Working knowledge of observability tooling (Azure Monitor, Log Analytics, Application Insights, Datadog/Grafana) and alerting/response workflows. Good understanding of the Microsoft Cloud Adoption Framework, Azure Landing Zones and the Well-Architected More ❯

in production (AKS): cluster operations, node pools, networking (CNI), RBAC and workload identity. Experience with GitOps, and container build pipelines (ACR, OPA policies, image scanning). Working knowledge of observability tooling (Azure Monitor, Log Analytics, Application Insights, Datadog/Grafana) and alerting/response workflows. Good understanding of the Microsoft Cloud Adoption Framework, Azure Landing Zones and the Well-Architected More ❯

in production (AKS): cluster operations, node pools, networking (CNI), RBAC and workload identity. Experience with GitOps, and container build pipelines (ACR, OPA policies, image scanning). Working knowledge of observability tooling (Azure Monitor, Log Analytics, Application Insights, Datadog/Grafana) and alerting/response workflows. Good understanding of the Microsoft Cloud Adoption Framework, Azure Landing Zones and the Well-Architected More ❯

in production (AKS): cluster operations, node pools, networking (CNI), RBAC and workload identity. Experience with GitOps, and container build pipelines (ACR, OPA policies, image scanning). Working knowledge of observability tooling (Azure Monitor, Log Analytics, Application Insights, Datadog/Grafana) and alerting/response workflows. Good understanding of the Microsoft Cloud Adoption Framework, Azure Landing Zones and the Well-Architected More ❯