Related skills
datadog terraform aws python kubernetes📋 Description
\n- \n
- Design and architect scalable Datadog monitoring and observability \n
- Lead implementation across infrastructure, apps and cloud services \n
- Develop monitoring standards, governance, and best practices \n
- Build dashboards, alerts, and performance monitoring across AWS \n
- Collaborate with DevOps, SRE, and engineering teams \n
- Drive automation of Datadog within CI/CD pipelines \n
🎯 Requirements
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- Strong commercial Datadog architecture and implementation experience \n
- Experience in AWS cloud environments \n
- Hybrid role based in London \n
- Strong stakeholder engagement and technical leadership \n
- Designing and implementing enterprise observability strategies \n
- Deep expertise in Datadog across APM, infra, logs, and RUM \n
- Experience with AWS services (EC2, Lambda, ECS/EKS, CloudWatch) \n
- Integrating Datadog with cloud-native and microservices architectures \n
- Scripting or automation experience (Python, Bash, or similar) \n
- Infrastructure as Code (Terraform, CloudFormation, or similar) \n
- CI/CD tooling and DevOps methodologies \n
- Observability in containerised environments (Docker/Kubernetes) \n
🎁 Benefits
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- An opportunity to join a fast-growing company \n
- Learning and development opportunities \n
- Flexible working environment \n
- Career advancement opportunities \n
- Competitive salaries based on experience \n
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