1 to 25 of 191 Datadog Jobs in England

Hands-on familiarity with the Grafana Observability Suite, including tools like Loki, Mimir, and Tempo Background in administering or developing with popular monitoring and automation tools such as Splunk, Datadog, PagerDuty, or Rundeck Experience using configuration management platforms like Ansible, Puppet, or Chef Professional certifications in cloud DevOps, such as AWS Certified DevOps Engineer or Google Cloud Professional DevOps Engineer More ❯

Hands-on familiarity with the Grafana Observability Suite, including tools like Loki, Mimir, and Tempo Background in administering or developing with popular monitoring and automation tools such as Splunk, Datadog, PagerDuty, or Rundeck Experience using configuration management platforms like Ansible, Puppet, or Chef Professional certifications in cloud DevOps, such as AWS Certified DevOps Engineer or Google Cloud Professional DevOps Engineer More ❯

Manage cloud infrastructure (OCI, AWS, Azure, or GCP) using Infrastructure as Code tools like Terraform or Serverless Functions. Monitor system health and performance using tools like Prometheus, Grafana, or Datadog or NewRelic. Collaborate closely with development teams to automate builds, performance tests, and deployments. Ensure system security, compliance, and best practices are followed in deployment pipelines. Ensure network security with More ❯

such as Azure, AWS or GCP Proficiency using Infrastructure as Code (IaC) tools such as Terraform (preferred), Ansible, or CloudFormation. Experience with monitoring, observability and logging tools such as DataDog, Prometheus, Grafana, or similar. Proven track record of maintaining highly-available and performant production environments. Ability to identify and implement effective mitigation strategies and operational playbooks. Useful/Bonus Skills More ❯

the equivalent with Azure and GCP Background knowledge and hands-on practice in Observability, specifically experience working with one or more of the following tools - Kibana, Open-Search, Grafana, Datadog, Sumologic, NewRelic, AppDynamics, Dynatrace, Prometheus, Logz.io, SignalFX, Instana, Splunk, Honeycomb, Jaeger Hands-on experience with Infrastructure as a Code (Terraform/Ansible) Hands-on experience in technical integrations (OpenTelemetry/ More ❯

. Preferred Qualifications Experience in hybrid cloud environments and integration with on-premise systems. Background in DevOps, SRE, or Infrastructure Engineering. Knowledge of monitoring/logging tools (e.g., CloudWatch, Datadog, Prometheus, ELK). Experience with enterprise security and compliance frameworks (e.g., ISO 27001, SOC 2, GDPR). Familiarity with cost modeling and optimization strategies in AWS. More ❯

Experience with Event-Driven Architecture using AWS services (SNS, SQS, EventBridge). Knowledge of GraphQL, WebSockets, or real-time data streaming. Exposure to DevOps and observability practices (e.g., Prometheus, Datadog, AWS CloudWatch, OpenTelemetry). Prior experience in leading distributed engineering teams. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy. More ❯

and other relevant tools. Security Best Practices: IAM, MFA, data encryption, firewall configurations. Programming/Scripting: Python, Terraform, or similar languages. Event-Driven Architectures: Kafka. Monitoring and Logging: Datadog, ELK Stack, Prometheus, etc. Experience in agile methodologies and DevOps practices. Location: Hybrid. Office located in London. (Hayes area). Office presence required: Yes. Frequency: 2-3 times a week at More ❯

merging, etc.) Collaboration & Issue Tracking - e.g. JIRA, Confluence Monitoring, Logging, and Performance Tuning - Skills in monitoring systems' performance and logs to ensure uptime and identify performance bottlenecks - e.g. Grafana, Datadog Networking Concepts - Knowledge in TCP/IP, DNS, VPN, load balancing, and firewalls Security Best Practices - Implementing security in DevOps (e.g., IAM policies, network security, vulnerability scanning, encryption) Security Protocols More ❯

merging, etc.) Collaboration & Issue Tracking - e.g. JIRA, Confluence Monitoring, Logging, and Performance Tuning - Skills in monitoring systems' performance and logs to ensure uptime and identify performance bottlenecks - e.g. Grafana, Datadog Networking Concepts - Knowledge in TCP/IP, DNS, VPN, load balancing, and firewalls Security Best Practices - Implementing security in DevOps (e.g., IAM policies, network security, vulnerability scanning, encryption) Security Protocols More ❯

VPC, etc. IaC: AWS CDK, Terraform, or CloudFormation CI/CD pipelines + scripting (Python, Bash, PowerShell) Containerized applications (Docker + ECS) Observability tooling like New Relic, CloudWatch, Prometheus, Datadog Who we’re looking for: Proven SRE or platform engineering experience in a high-availability environment Passion for reliability, automation, and system performance Strong problem-solving mindset and solid communication More ❯

Experience in 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). Leadership: A track record of leading complex projects. Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex More ❯

Experience in 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). Leadership: A track record of leading complex projects. Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex More ❯

Experience in 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). Leadership: A track record of leading complex projects. Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex More ❯

Experience in 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). Leadership: A track record of leading complex projects. Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex More ❯

Experience in 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). Leadership: A track record of leading complex projects. Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex More ❯

Experience in 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). Leadership: A track record of leading complex projects. Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex More ❯

Experience in 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). Leadership: A track record of leading complex projects. Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex More ❯

Experience in 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). Leadership: A track record of leading complex projects. Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex More ❯

Experience in 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). Leadership: A track record of leading complex projects. Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex More ❯

Experience in 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). Leadership: A track record of leading complex projects. Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex More ❯

Experience in 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). Leadership: A track record of leading complex projects. Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex More ❯

and serverless compute options. Build and maintain CI/CD pipelines using industry-standard tools (e.g., GitHub Actions, GitLab CI, Jenkins). Implement monitoring and logging using tools like DataDog, Serilog, CloudWatch, or equivalent. Use Docker and Kubernetes for containerisation and orchestration of applications. Manage deployments with Helm and configuration in YAML. Develop shell scripts and automation for deployment and More ❯

and serverless compute options. Build and maintain CI/CD pipelines using industry-standard tools (e.g., GitHub Actions, GitLab CI, Jenkins). Implement monitoring and logging using tools like DataDog, Serilog, CloudWatch, or equivalent. Use Docker and Kubernetes for containerisation and orchestration of applications. Manage deployments with Helm and configuration in YAML. Develop shell scripts and automation for deployment and More ❯

Familiarity with Infrastructure as Code and DevOps practices. Knowledge of Hyper-V management. Understanding of networking, security, and system administration (Linux/Windows). Experience with monitoring tools (e.g., DataDog, CloudWatch, Azure Monitor). Strong communication and collaboration skills. Responsibilities: Deploying and managing Kubernetes clusters, including networking, storage, and security. Collaborating with development and platform teams to deliver scalable, secure More ❯