1 to 25 of 158 Permanent Observability Jobs in the North of England

cloud-hybrid setup (Azure/AWS/GCP) with integrations, security, and deployment patterns. Enhance CI/CD pipelines and DevOps practices: automation, observability, containerisation. Work with event-driven systems (Kafka/RabbitMQ) to support features and integrations. Mentor juniors, share best practices, and collaborate closely with product and QA. ...

with Infrastructure as Code tools such as Terraform, Ansible, or equivalent Containerisation experience using Docker , with orchestration via Kubernetes or Docker Swarm Monitoring and observability experience using ELK, Grafana, or similar tools CI/CD experience, including tools such as TeamCity Experience with Microsoft SQL Server Strong Windows and Linux ...

Azure (you don't need to be an expert, but being interested helps!) Promote strong engineering practices around code quality, automated testing, peer reviews, observability, and security, helping to instil a culture of quality and accountability in engineering Collaborate closely with designers, product managers, and QA to ensure solutions ...

pipelines (Jenkins, GitLab CI, GitHub Actions, ArgoCD) Scripting and automation (Python, Shell, Perl, or similar) Knowledge of data centre ops, networking, IT security, and observability tools (Prometheus, Grafana, ELK, Datadog) Excellent communication and stakeholder management skills Agile delivery experience Desirable Skills Degree in Computer Science, Engineering, or related field Oracle ...

architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality ...

architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality ...

architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality ...

architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality ...

architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality ...

architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality ...

architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality ...

architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality ...

architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality ...

Terraform, Bicep, and automated configuration management solutions. Troubleshoot complex cloud, network, and platform issues across production and non-production environments. Participate in governance, observability, cost optimisation, and FinOps initiatives. Collaborate closely with architects, developers, security teams, and operations teams to deliver high-quality, secure, and scalable cloud solutions. Essential Skills ...

these would be valuable. AI in DevOps: They mention AI-enhanced DevOps practices- your experience with automation could be extended to include AI-driven observability and testing. Certifications: If you don't already have AZ-400 or AZ-500, these would make your application stand out. AI-102 could ...

these would be valuable. AI in DevOps: They mention AI-enhanced DevOps practices- your experience with automation could be extended to include AI-driven observability and testing. Certifications: If you don't already have AZ-400 or AZ-500, these would make your application stand out. AI-102 could ...

these would be valuable. AI in DevOps: They mention AI-enhanced DevOps practices- your experience with automation could be extended to include AI-driven observability and testing. Certifications: If you don't already have AZ-400 or AZ-500, these would make your application stand out. AI-102 could ...

these would be valuable. AI in DevOps: They mention AI-enhanced DevOps practices- your experience with automation could be extended to include AI-driven observability and testing. Certifications: If you don't already have AZ-400 or AZ-500, these would make your application stand out. AI-102 could ...

these would be valuable. AI in DevOps: They mention AI-enhanced DevOps practices- your experience with automation could be extended to include AI-driven observability and testing. Certifications: If you don't already have AZ-400 or AZ-500, these would make your application stand out. AI-102 could ...

these would be valuable. AI in DevOps: They mention AI-enhanced DevOps practices- your experience with automation could be extended to include AI-driven observability and testing. Certifications: If you don't already have AZ-400 or AZ-500, these would make your application stand out. AI-102 could ...

these would be valuable. AI in DevOps: They mention AI-enhanced DevOps practices- your experience with automation could be extended to include AI-driven observability and testing. Certifications: If you don't already have AZ-400 or AZ-500, these would make your application stand out. AI-102 could ...

these would be valuable. AI in DevOps: They mention AI-enhanced DevOps practices- your experience with automation could be extended to include AI-driven observability and testing. Certifications: If you don't already have AZ-400 or AZ-500, these would make your application stand out. AI-102 could ...

these would be valuable. AI in DevOps: They mention AI-enhanced DevOps practices- your experience with automation could be extended to include AI-driven observability and testing. Certifications: If you don't already have AZ-400 or AZ-500, these would make your application stand out. AI-102 could ...

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 ...

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 ...