Project Role :
Custom Software Engineer
Project Role Description :
Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills :
Datadog
Good to have skills :
NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification :
15 years full time educationSummary: As a Custom Software Engineer, you will develop custom software solutions to design, code, and enhance components across systems or applications. Your typical day will involve collaborating with cross-functional teams, utilizing modern frameworks, and applying agile practices to deliver scalable and high-performing solutions that meet specific business needs. You will engage in problem-solving and innovation to ensure that the software solutions are tailored effectively to the requirements of the organization. Roles & Responsibilities:
- Administer and manage Datadog across multi-environment (cloud/on-prem) setups.
- Configure monitors, dashboards, SLOs, APM tracing, and log pipelines for various applications.
- Integrate Datadog with AWS, Azure, GCP, and third-party tools (e.g., PagerDuty, ServiceNow, Slack, etc.).
- Manage user access, roles, permissions, and API keys in accordance with security policies.
- Define and enforce naming conventions, tagging standards, and monitoring templates for consistent observability.
- Collaborate with DevOps, Application, and Infrastructure teams to ensure effective telemetry coverage.
- Implement synthetic monitoring, RUM (Real User Monitoring), and infrastructure metrics for end-to-end visibility.
- Develop and maintain automation scripts (Terraform, Python, or APIs) for Datadog configuration management.
- Troubleshoot issues related to agent deployment, data ingestion, dashboards, and alert noise reduction.
- Review usage reports, optimize dashboards, and manage cost efficiency of Datadog licenses.
- Provide training and onboarding to teams on Datadog best practices. Professional & Technical Skills:
- 3+ years of hands-on experience with Datadog administration and observability.
- Strong understanding of monitoring concepts, metrics, logs, traces, and distributed systems.
- Experience integrating Datadog with AWS / Azure / GCP and CI/CD pipelines.
- Familiarity with Datadog APIs, Terraform providers, and configuration as code.
- Working knowledge of Linux/Windows systems, containers (Docker/Kubernetes), and network monitoring.
- Experience with incident management workflows and integration with ITSM tools (e.g., ServiceNow, Jira).
- Scripting or automation experience using Python / Shell / PowerShell.
- Strong analytical, problem-solving, and communication skills.
- Datadog Certified Administrator / Observability Professional certification (preferred).
- Experience with other monitoring tools (e.g., Dynatrace, Prometheus, Grafana, Splunk, ELK).
- Exposure to SRE practices, SLIs/SLOs, and performance optimization.
- Familiarity with FinOps / cost governance related to observability tools.
- Strong ownership and accountability.
- Collaborative mindset and ability to work cross-functionally.
- Attention to detail and proactive in identifying monitoring gaps.
- Ability to simplify complex technical information for broader audiences. Additional Information: - The candidate should have minimum 3 years of experience in Datadog. - This position is based at our Gurugram office. - A 15 years full time education is required., 15 years full time education