1 to 25 of 33 Permanent Datadog Jobs in Slough

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, Sumo Logic, New Relic, AppDynamics, Dynatrace, Prometheus, Logz.io, SignalFX, Instana, Splunk, Honeycomb, Jaeger Hands-on experience with Infrastructure as a Code (Terraform/Ansible) Hands More ❯

CI/CD pipelines with GitLab and GitHub Actions Containerising with Docker and applying best practices for security and performance Monitoring and alerting using Datadog, Prometheus, and Grafana Debugging complex systems using tools like strace, dtrace, and beyond Supporting a tech stack that includes Rust, Python, Go, C++, Java, and More ❯

Actions, Gitlab, Jenkins, Teamcity Scripting languages such as PowerShell, bash L1 to L3 networking Logging and monitoring systems, and visualisation tools, such as Splunk, Datadog, Log Analytics, Cloudwatch, ELK, Grafana, PowerBI, Prometheus, Application Insights IaC tools such as Terraform, Cloudformation, Chef, Ansible, Puppet, Pulumi, Bicep Database systems such as MSSQL More ❯

QBRs. ✅ What You Bring: Strong hands-on experience with cloud platforms (AWS, GCP, Azure) and DevOps tooling Familiarity with observability stacks like Grafana, Prometheus, Datadog, Splunk, Kibana, etc. Experience with technical integrations (OpenTelemetry, Fluentd, Fluentbit, Filebeat, etc.) Skilled in troubleshooting Kubernetes and containerised environments Strong communication skills — able to engage More ❯

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 More ❯

programming language. Cloud-native technologies: Experience in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), and observability platforms (e.g., Datadog or Grafana). Curiosity: A hunger to learn and grow your skills. Problem solving: Strong analytical problem-solving skills and attention to detail. You have More ❯

pipelines and container technologies like Docker and Kubernetes. Deep understanding of networking, distributed systems, and databases. Expertise in monitoring and observability tools such as DataDog, Prometheus, Grafana, ELK stack, or Splunk. Excellent communication skills and a meticulous approach to problem-solving. Desirable Experience: Familiarity with Azure. Experience working in the More ❯

monitoring and observability tools to proactively manage system health. Skills and Strengths: AWS (Amazon Web Services) Auto Scaling Fargate Route53 Observability tools (New Relic, DataDog, Splunk) Containerization (Docker, Kubernetes, Fargate) Incident Response IaC (Terraform, CloudFormation, Helm, CDK) Scripting (Ansible, Bash, Python, GO) CI/CD Primary Job Responsibilities: Design and More ❯

SOPs. Develop scripts and tools to automate infrastructure provisioning and application deployment. Implement best practices for observability and monitoring using tools like New Relic, DataDog, or Splunk. Influence design decisions to ensure scalable, secure architecture and high availability. Key Requirements: 5+ years in Site Reliability Engineering and/or DevOps More ❯

Engineer Strong experience in Devops Tools (Git Hub, Git Hub Actions, Workflow, CodeQL Jenkins, Nexus, CloudFormation/Terraform etc.) Strong experience in monitoring tool (Datadog is preferred) Strong Knowledge of AWS services EC2, ELB, ECS, S3, Config, CloudTrail, EFS, Lambda, VPC Strong Knowledge and experience of python/shell scripting More ❯

with: MongoDB , PostgreSQL , or hybrid DB architectures DevOps practices : Docker, Kubernetes, Infrastructure as Code Jest or other unit testing frameworks Monitoring and logging tools: Datadog, AWS CloudWatch Google Cloud Platform (GCP) or cloud migration experience Background in real-time media or image/video processing pipelines 🚀 Why Join PomVom? Build More ❯

define, version, and manage infrastructure as code across multiple environments. GitHub Actions & OIDC – build and maintain automated CI/CD pipelines with secure authentication. Datadog, Prometheus or similar – implement logging, metrics, and alerting for robust observability – the interim CTO is keen to hear your recommendation(s) on tooling and implementation More ❯

strategy while delivering incremental value. Technical Debt Management – Experience identifying and remediating inefficient architectures. Observability & Performance Optimization – Familiarity with monitoring and logging tools (e.g., Datadog, Splunk, Prometheus, New Relic). Stakeholder Management – Ability to engage with senior leadership, product managers, and engineering teams. Metrics-Driven Decision Making – Familiarity with engineering More ❯

experience with DevOps Tools such as: (Git Hub, Git Hub Actions, Workflow, CodeQL Jenkins, Nexus, CloudFormation/Terraform etc.) Strong experience in monitoring tool (Datadog is preferred) Expertise with AWS services EC2, ELB, ECS, S3, Config, CloudTrail, EFS, Lambda, VPC Commercial experience with python/shell scripting Nice to have More ❯

AWS (EC2, EKS, ECS, Fargate, Lambda, CloudFormation, Load Balancers, CloudWatch) and equivalents in Azure and GCP. Familiarity with observability tools such as Kibana, Grafana, Datadog, NewRelic, and others. Proficiency in RegEx, Lucene, and PromQL. Leadership & Onboarding: Proven experience leading technical teams focused on observability solutions and customer onboarding. Ability to More ❯

experience in Cloud DevOps (e.g. AWS, Azure, GCP), including services like EKS, ECS, Lambda, etc. Proficiency with observability platforms such as Grafana, Kibana, Prometheus, Datadog, Splunk , or similar. Strong knowledge of RegEx, Lucene, PromQL . Proven track record of leading technical teams and owning the end-to-end onboarding journey. More ❯

cloud experience (AWS/Azure/GCP) IaC (preferably Terraform or Ansible) Python experience Linux background Interest/knowledge in cloud security Monitoring tools (DataDog, NewRelic) Operating as a remote-first company across three continents, they embrace diversity and value individual contributions. Benefits: Competitive market rate - Up to £150K Stock More ❯

get people to enjoy them) Pen-test services and infra (ethically, please). Extend security automation and monitoring with tools like CircleCI, GitHub Actions, DataDog, AWS Security Hub, etc. Harden everything from container runtimes to APIs to artifact pipelines. Write secure code, review other people’s code, and help everyone More ❯

Kubeflow, Docker/Kubernetes, and GitOps practices Strong working knowledge of Azure and Databricks services Proficient with observability and monitoring tools (e.g. Prometheus, Grafana, Datadog) Curious and commercially minded — focused on delivering scalable, valuable solutions Familiarity with additional cloud platforms such as AWS or GCP is a plus Demonstrated leadership More ❯

similar to track changes Experience of both the full .NET Framework and .NET Core Experience of using observability systems such as Elastic APM or DataDog to track and diagnose issues in production A solid understanding of security principles and secure coding including OWASP Top 10 Desirable Skills: Experience in VOIP More ❯

rotation, data-in-transit/at-rest encryption Familiarity with financial or regulated environments and related control frameworks Hands-on with observability stacks (Grafana, Datadog) and CI/CD More ❯

and building financial, regulatory, or customer reporting systems, or complex data transformation pipelines. Hands-on experience with monitoring, alerting, and observability tools such as Datadog, Grafana, or Prometheus. Strong track record designing high-availability workflows with strict SLOs (>99%) using orchestration tools like Airflow. Expert-level proficiency in Python, Pandas More ❯

with; Strong experience supporting technical products in a customer facing capacity Deep understanding of cloud native technologies and modern observability stacks such as Grafana, DataDog, Splunk or similar A hands on mindset and the ability to work comfortably across Kubernetes, microservices, and comparable environments Beyond technical skills, they value clear More ❯

and Linux/Unix services. • Strong experience in scripting language like Power shell, Python and SQL. • Strong Knowledge of monitoring tools – Nagios, Splunk, OTEL, Datadog • Strong Knowledge of FIX protocol • Strong Domain skills - Must have working experience in Capital Markets across modules and instruments especially – CASH, ETS, Bonds, Options, Futures More ❯

similar Must have experience with Kubernetes, CI/CD, and Terraform Database experience with MySQL and NoSQL Monitoring tools like Prometheous, Grafana, NewRelic, Zabbix, DataDog, or Similar Relevant Certifications like GCP Cloud Architect or similar Beneficial, but not essential: Cassandra, and Google Workspace What's in it for you More ❯