76 to 100 of 677 Observability Jobs in England

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 ❯

using AWS Organisations/Control Tower/Landing Zones Strong knowledge of Linux/Unix systems administration Expert-level experience in AWS Networking/TCP/Firewalls/Certs Observability champion, experience of designing and building monitoring and logging tools such as CloudWatch, ELK, and Grafana Strong scripting skills in Bash, JavaScript or similar knowledge of SecDevOps security best practices More ❯

using AWS Organisations/Control Tower/Landing Zones Strong knowledge of Linux/Unix systems administration Expert-level experience in AWS Networking/TCP/Firewalls/Certs Observability champion, experience of designing and building monitoring and logging tools such as CloudWatch, ELK, and Grafana Strong scripting skills in Bash, JavaScript or similar knowledge of SecDevOps security best practices More ❯

with DevOps teams to integrate Elastic into CI/CD, automation, and cloud environments. Manage client expectations and ensure effective stakeholder communication. Stay up to date with Elastic and observability best practices. Tech Skills: Extensive hands-on experience with the Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, etc.) . Familiarity with DevOps practices and tools (CI/CD, automation, infrastructure-as More ❯

with DevOps teams to integrate Elastic into CI/CD, automation, and cloud environments. Manage client expectations and ensure effective stakeholder communication. Stay up to date with Elastic and observability best practices. Tech Skills: Extensive hands-on experience with the Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, etc.) . Familiarity with DevOps practices and tools (CI/CD, automation, infrastructure-as More ❯

tools such as Airflow ● Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI). ● Experience working with product analytics solution (Amplitude, Mixpanel) ● Experience More ❯

tools such as Airflow ● Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI). ● Experience working with product analytics solution (Amplitude, Mixpanel) ● Experience More ❯

and cloud deployment workflows. Practical experience with MongoDB or similar NoSQL databases. Problem-solver with strong communication skills and a collaborative mindset. Bonus: experience with message queues (Kafka, RabbitMQ), observability tooling, or DevOps-style environments. Why You'll Love It Here Impact & Ownership - You'll own core backend systems and shape architectural decisions. Modern Tech Stack - Node.js, TypeScript, NestJS, MongoDB More ❯

/Azure Functions, API Management). Implement CI/CD (GitHub Actions/Azure DevOps), Infrastructure as Code (Bicep/Terraform), secrets via Azure Key Vault , private networking. Add observability : tracing/telemetry (OpenTelemetry, LangSmith), metrics, logs, cost and token usage monitoring, alerts. Apply evaluation & QA : regression suites, offline eval sets/golden data, RAG evals (faithfulness, answer relevance, citation More ❯

branching strategies. CI/CD: Pipeline design, deployment automation. Security: Role-based access, metadata audits. Certifications: Salesforce Certified DevOps Engineer, Platform Developer I/II. Skilled in monitoring and observability tools (e.g., Prometheus, Grafana, ELK). Gigaclear is a growing Fibre Broadband (FTTP/FTTH) company, developing our fibre-to-the-premises broadband infrastructure to some of the most difficult More ❯

branching strategies. CI/CD: Pipeline design, deployment automation. Security: Role-based access, metadata audits. Certifications: Salesforce Certified DevOps Engineer, Platform Developer I/II. Skilled in monitoring and observability tools (e.g., Prometheus, Grafana, ELK). Gigaclear is a growing Fibre Broadband (FTTP/FTTH) company, developing our fibre-to-the-premises broadband infrastructure to some of the most difficult More ❯

Figma and Vercel is a big plus. Capable of writing clean, maintainable and well-tested code. Comfortable working in on-prem and cloud-native environments with an interest in observability, using tools like Prometheus and Grafana to keep services healthy and maintainable. Familiarity with AWS services and how to integrate them into modern applications. A keen focus on quality and 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 ❯

our services. About You Experience building and deploying services with Java and Spring Boot. Comfort working in a cloud-native environment - Kubernetes (EKS), containers, scaling etc. An understanding of observability, using tools like Prometheus and Grafana to keep services healthy and understand usage patterns. Familiarity with some AWS services and how to integrate them into modern applications. A keen focus 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 ❯

EC2, VPC, etc.) ⚙️ Strong IaC skills with Terraform and CI/CD pipelines 🐳 Kubernetes operations expertise on AWS (EKS) 🔒 Solid grounding in Linux, networking, and cloud security 📊 Familiarity with observability stacks (Prometheus, Grafana, Loki) If you’re ready to shape the infrastructure behind cutting-edge AI used by global enterprises, we’d love to hear from you. 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 ❯

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 ❯

using Playwright . Drive performance, load, and scalability testing with tools like k6 . Embed quality checks into CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI). Use observability tools (logs, metrics, traces) for smarter system feedback. Champion BDD and collaborative quality practices across teams. Mentor others in modern QE methods and system thinking. 🧠 What You’ll Bring Strong More ❯

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 ❯

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 ❯