Datadog Integration Specialist
3 weeks ago
About the Role:
We are seeking a skilled Datadog Integration Specialist to enhance our monitoring and integration capabilities. This role involves designing and implementing integrations with various data sources while ensuring optimal performance and reliability across our systems.
Key Responsibilities:
- Design and Implementation:
- Architect and implement integrations with diverse data sources, including Kubernetes, cloud platforms (AWS, Azure, GCP), CI/CD tools, and Spinnaker.
- Create and maintain custom scripts and configurations to automate the processes of data collection and integration.
- Architect and implement integrations with diverse data sources, including Kubernetes, cloud platforms (AWS, Azure, GCP), CI/CD tools, and Spinnaker.
- Configuration Management:
- Configure Datadog agents and integrations to gather metrics, logs, and traces from various environments.
- Ensure accurate tagging and metadata enrichment to enable detailed monitoring and analysis.
- Configure Datadog agents and integrations to gather metrics, logs, and traces from various environments.
Requirements:
- Education:
- Bachelor's degree in Computer Science, Information Technology, or a related field; advanced degrees or certifications are advantageous.
- Bachelor's degree in Computer Science, Information Technology, or a related field; advanced degrees or certifications are advantageous.
- Experience:
- Minimum of 4 years of hands-on experience with Datadog, particularly in integrating with Kubernetes, cloud providers, CI/CD tools, and Spinnaker.
- Demonstrated success in setting up and managing data source integrations to achieve traceability and observability.
- Background in application development, with a solid understanding of the software development lifecycle (SDLC) and best practices.
- Experience in Site Reliability Engineering (SRE), focusing on maintaining high availability, performance, and scalability of systems.
- Minimum of 4 years of hands-on experience with Datadog, particularly in integrating with Kubernetes, cloud providers, CI/CD tools, and Spinnaker.
- Technical Skills:
- Proficient in using Datadog's Service Map, Service Catalog, and other observability tools.
- Strong knowledge of cloud infrastructure (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).
- Familiarity with CI/CD pipelines and tools such as Jenkins, GitLab, and Spinnaker.
- Understanding of application development frameworks and languages (e.g., Java, .NET, Node.js).
- Knowledge of scripting and automation (e.g., Python, Bash).
- Proficient in using Datadog's Service Map, Service Catalog, and other observability tools.
- Soft Skills:
- Excellent analytical and problem-solving abilities.
- Strong communication and collaboration skills.
- Capability to work independently and as part of a team in a fast-paced environment.
- Excellent analytical and problem-solving abilities.
Benefits:
Alignity Solutions is an Equal Opportunity Employer, M/F/V/D. Visit us at http://alignity.io/careers for more information.
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