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Salary1,500,000 (Negotiable)
- LocationDelhi, India
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IndustryInformation Technology
About the Role:
We are seeking a skilled and experienced Datadog Developer to join one of our client's engineering team. The ideal candidate will have a strong background in observability, monitoring, and cloud-native infrastructure, with hands-on experience implementing and managing Datadog across large-scale environments.
Key Responsibilities:
- Design, implement, and manage observability solutions using Datadog APM, Infrastructure Monitoring, Logs, RUM, and Dashboards.
- Collaborate with DevOps, SRE, and development teams to define monitoring standards and alerting strategies.
- Build custom Datadog dashboards and visualizations to deliver insights across services and infrastructure.
- Integrate Datadog with CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and containerized environments (Docker, Kubernetes).
- Optimize Datadog configurations for performance and cost-efficiency.
- Troubleshoot performance bottlenecks using Datadog metrics, traces, and logs.
- Automate alerting, anomaly detection, and health checks for proactive monitoring.
- Develop documentation and runbooks for onboarding and internal team training.
Required Skills and Experience:
- 5+ years of experience in monitoring/observability, with at least 2–3 years of Datadog hands-on implementation.
- Strong understanding of cloud-native environments: AWS, GCP, or Azure.
- Experience with Kubernetes, Docker, and container orchestration.
- Familiar with Infrastructure-as-Code tools like Terraform or CloudFormation.
- Knowledge of CI/CD pipelines, logging tools (ELK, FluentD), and scripting (Python, Bash).
- Proficient in creating custom monitors, SLOs/SLIs, and Datadog dashboards.
- Experience with incident management and root cause analysis using observability tools.
Preferred Qualifications:
- Datadog Certification(s) (e.g., Datadog Certified Monitoring Professional)
- Understanding of microservices architecture and distributed systems
- Experience in Agile/DevOps working environments
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