Datadog Developer

5 - 3 years

0 Lacs

delhi delhi

Posted:1 month ago| Platform: Indeed logo

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Skills Required

datadog developer reporting engineering monitoring design devops development aws gcp azure docker metrics automate checks documentation onboarding training kubernetes terraform logging scripting python analysis microservices agile

Work Mode

On-site

Job Description

Application Deadline:
September 30, 2025
Department:
Development
Employment Type:
Permanent
Location:
Delhi/NCR, Greater Noida, Noida, Gurgaon
Reporting To:
Ankit Suley

This role's hiring manager:
Job Title: Datadog Developer
Experience: 5+ Years – 8 Years
Location: Delhi/NCR (Onsite with client)
Job Type: Full-Time / Permanent
About the Role:
We are seeking a skilled and experienced Datadog Developer to join our engineering team. The ideal candidate will have a strong background in observability, monitoring, and cloud-native infrastructure, with in-depth 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 to ensure performance and cost-efficiency.
  • Troubleshoot performance bottlenecks using Datadog metrics, traces, and logs.
  • Automate alerting, anomaly detection, and health checks to enable proactive monitoring.
  • Develop documentation and runbooks for onboarding and training internal teams.
Required Skills and Experience:
  • Minimum 5 years of relevant experience in monitoring/observability with at least 2–3 years in Datadog.
  • Strong understanding of cloud-native environments (AWS, GCP, or Azure).
  • Hands-on experience with Kubernetes, Docker, and container orchestration.
  • Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation.
  • Experience with CI/CD pipelines, logging tools (ELK, FluentD), and scripting (Python, Bash).
  • Proficient in creating custom monitors, SLOs/SLIs, and dashboards in Datadog.
  • Experience with incident management and root cause analysis using observability tools.
Preferred Qualifications:
  • Datadog Certification(s) (e.g., Datadog Certified Monitoring Professional)
  • Knowledge of microservices architecture and distributed systems
  • Experience working in Agile/DevOps environments

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