1 to 25 of 56 Datadog Jobs in the UK excluding London

The role of a Platform Support Engineer involves providing excellent technical support and maintenance for platform solutions within the technology and telecoms industry. You will ensure the smooth operation of systems, troubleshoot issues, and deliver high-quality service to internal More ❯

. Strong scripting skills in Python , Bash , or similar. Familiarity with Linux administration , networking, and system security. Experience with monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog). Desirable Skills Exposure to infrastructure security best practices (e.g., CIS Benchmarks, AWS Well-Architected Framework). Knowledge of configuration management (Ansible, Chef, or Puppet). Experience with serverless architectures More ❯

scalable, secure infrastructure in AWS and Azure Build and maintain CI/CD pipelines using tools such as Azure DevOps Implement and manage monitoring, alerting and logging systems (e.g. Datadog, Logic Monitor, SolarWinds) Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform Ensure compliance with security policies; manage IAM, PIM and RBAC access controls Respond to incidents More ❯

tech talks to share knowledge and promote adoption of tools and practices. About the Candidate The ideal candidate will possess the following: Experience with observability tools (eg, Grafana, Prometheus, Datadog). Background in DevOps, SRE, or platform engineering with a security first mindset. Strong programming skills in languages such as .Net, JavaScript, Python or similar. Experience with CI/CD More ❯

scripting for automation Git version control Desirable (Future-Facing Skills): Infrastructure as Code (Terraform, Pulumi, Ansible) Container orchestration (Kubernetes) Go development for microservice utilities Modern observability tools (Prometheus, Grafana, Datadog) CI/CD pipeline management (GitHub Actions, GitLab CI, Jenkins) Firewall-as-a-Service solutions (e.g., Cloudflare) Endpoint/device management (e.g., Intune, NinjaOne) Exposure to ML Ops (deployment, scaling More ❯

/CD pipelines (e.g., Jenkins, TeamCity, Concourse). Familiarity with web/application servers such as NGINX, Apache, or JBoss. Exposure to monitoring and logging tools (ELK, Nagios, Splunk, DataDog, New Relic, etc.). Understanding of security and identity management (OAuth2, SSO, ADFS, Keycloak, etc.). Experience with version control systems (Git, Bitbucket, Subversion). Working knowledge of database technologies More ❯

based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge of the core AWS services: i.e. EC2/ECS, RDS, S3 Experience using DataDog or similar observability tools Knowledge of containerisation: Docker, Kubernetes, AWS Fargate etc Any experience of front-end or fullstack development using TypeScript & React Experience building software for financial services and More ❯

network management. Proficiency in scripting and automation (e.g., Bash, Python, PowerShell). Familiarity with CI/CD pipelines and deployment automation. Experience with environment monitoring tools (e.g., Prometheus, Nagios, Datadog). Knowledge of security best practices and compliance standards in IT environments. Excellent problem-solving, troubleshooting, and analytical skills. Strong communication skills, with the ability to collaborate across technical and More ❯

network management. Proficiency in scripting and automation (e.g., Bash, Python, PowerShell). Familiarity with CI/CD pipelines and deployment automation. Experience with environment monitoring tools (e.g., Prometheus, Nagios, Datadog). Knowledge of security best practices and compliance standards in IT environments. Excellent problem-solving, troubleshooting, and analytical skills. Strong communication skills, with the ability to collaborate across technical and More ❯

in SRE, Observability, or DevOps functions. Proven track record implementing observability solutions in cloud-native environments (AWS, Azure, or GCP). Hands-on proficiency with observability tools such as Datadog, Grafana, Prometheus, OpenTelemetry. Strong knowledge of distributed systems, microservices, and container orchestration (Kubernetes, Docker). Experience with automation and Infrastructure as Code (Terraform, Ansible) and CI/CD pipelines. Familiarity More ❯

years in SRE, Observability, or DevOps functions.Proven track record implementing observability solutions in cloud-native environments (AWS, Azure, or GCP). Hands-on proficiency with observability tools such as Datadog, Grafana, Prometheus, OpenTelemetry. Strong knowledge of distributed systems, microservices, and container orchestration (Kubernetes, Docker). Experience with automation and Infrastructure as Code (Terraform, Ansible) and CI/CD pipelines. Familiarity More ❯

years in SRE, Observability, or DevOps functions.Proven track record implementing observability solutions in cloud-native environments (AWS, Azure, or GCP). Hands-on proficiency with observability tools such as Datadog, Grafana, Prometheus, OpenTelemetry. Strong knowledge of distributed systems, microservices, and container orchestration (Kubernetes, Docker). Experience with automation and Infrastructure as Code (Terraform, Ansible) and CI/CD pipelines. Familiarity More ❯

Your expertise will ensure seamless, reliable, and secure experiences for customers. Hands-on experience with AWS services (ECS, S3, RDS, Lambda, CloudFront, etc.). Proficiency with monitoring tools like DataDog, CloudWatch, and Grafana. Experience with Docker, ECS, Kubernetes, or similar containerisation technologies. Knowledge of scripting languages such as Bash, Python, NodeJS. Familiarity with Infrastructure as Code (IaC) tools like Terraform More ❯

pipelines through tools such as Azure DevOps, GitHub Actions, or Octopus. You'll also be adept at automating workflows in Python or PowerShell and implementing modern observability solutions including DataDog, OpenSearch, and LogicMonitor. This is a rare opportunity to join a high-performing, global hedge fund where technology and engineering directly drive investment performance and operational scale. To ensure the More ❯

Experience in a Site Reliability, DevOps, or Platform Engineering role. Solid scripting or programming ability (PowerShell, Bash, Python, or similar). Familiarity with monitoring and observability tools such as Datadog, Azure Application Insights, or Log Analytics. Excellent collaboration and communication skills with the ability to work cross-functionally. A proactive mindset with a genuine passion for automation and operational excellence. More ❯

Experience in a Site Reliability, DevOps, or Platform Engineering role. Solid scripting or programming ability (PowerShell, Bash, Python, or similar). Familiarity with monitoring and observability tools such as Datadog, Azure Application Insights, or Log Analytics. Excellent collaboration and communication skills with the ability to work cross-functionally. A proactive mindset with a genuine passion for automation and operational excellence. More ❯

degree in Computer Science, Management Information Systems, or related is desirable but not essential. Nice to have but not essential: · Service monitoring and graphing tools (Prometheus + Grafana, Nagios, Datadog) Elastic stack Repository solutions (Jfrog Artifactory, Jfrog Bintray) OpenVPN Apache Tomcat Messaging streams & communication platforms (RabbitMQ, Postfix, Mandrill) SQL Databases (MongoDB, PostgreSQL, or MySQL) Microservice Architecture Apache Kafka Our Values More ❯

degree in Computer Science, Management Information Systems, or related is desirable but not essential. Nice to have but not essential: · Service monitoring and graphing tools (Prometheus + Grafana, Nagios, Datadog) Elastic stack Repository solutions (Jfrog Artifactory, Jfrog Bintray) OpenVPN Apache Tomcat Messaging streams & communication platforms (RabbitMQ, Postfix, Mandrill) SQL Databases (MongoDB, PostgreSQL, or MySQL) Microservice Architecture Apache Kafka Our Values More ❯

such as AWS, Azure, and GCP. Skilled in managing containerised applications using tools like Docker, Kubernetes, and Helm. Proficient in Infrastructure-as-Code practices — our production stack includes Terraform, Datadog, ArgoCD, and GitLab. Strong focus on automation; you streamline workflows with Bash scripts and turn to Python when things get more complex. Curious about the entire technology landscape — from bare More ❯

and operations teams to enhance system reliability. What You Will Ideally Bring: Proven DevOps or Site Reliability Engineering (SRE) experience. Strong hands-on expertise with observability platforms such as Datadog and Splunk. Proficiency with CI/CD, Infrastructure as Code (Terraform, CloudFormation), and automation tooling. Strong understanding of SLIs, SLOs, incident response, and performance engineering. Ability to translate complex technical More ❯

and fix any issues with Jenkins pipelines used for CI/CD. Implement/Deploy AWS in large, regulated enterprise environment Monitor the IT estate using tools such as Datadog/CloudWatch and proactively react to alerts, Perform patch management of the estate using tools including RedHat Satellite and Ansible Remediate any security vulnerabilities within a timely manner. Participate in More ❯

an SRE, DevOps, or Software Engineering (with an operations focus) role. Solid scripting/programming skills for automation (e.g., PowerShell, Python, Bash). Expertise with modern observability tools (e.g., Datadog, Application Insights, Log Analytics, Grafana). A collaborative mindset with a strong sense of ownership and a passion for engineering reliability. What's In It For You? This company truly More ❯

the delivery of a new Cloud Platform built on AWS, powered by microservices developed in C#. Alongside this, they are nvesting in key initiatives such as platform monitoring with Datadog, automation testing with Playwright, and strengthening security through GitHub Actions. About you Experienced software engineer with strong skills in C#/.NET. Hands-on experience with AWS, microservices, and API More ❯

the delivery of a new Cloud Platform built on AWS, powered by microservices developed in C#. Alongside this, they are nvesting in key initiatives such as platform monitoring with Datadog, automation testing with Playwright, and strengthening security through GitHub Actions. About you Experienced software engineer with strong skills in C#/.NET. Hands-on experience with AWS, microservices, and API More ❯

Familiarity with testing frameworks (Vitest, Playwright) for both API and end-to-end testing. Experience with Docker, Helm, YAML, Kubernetes, and cloud-native deployments. Telemetry tools; Prometheus, Grafana, OpenTelemetry, DataDog, APM tools Understanding of infrastructure-as-code and CI/CD pipelines. Ability to improve codebases and influence architectural direction. Experience mentoring or coaching engineers. Please send updated CV quoting More ❯