About the Role :

We are seeking a highly skilled Datadog Implementation Engineer to join our team and lead the design, implementation, and maintenance of Datadog monitoring and observability solutions.

The ideal candidate will have extensive hands-on experience with the Datadog platform, including APM, infrastructure monitoring, and cloud observability, enabling us to ensure application performance, reliability, and security across diverse environments.

Key Responsibilities :

- Design, implement, configure, and maintain Datadog monitoring solutions across infrastructure, applications, cloud services, and security domains.

- Build and optimize application performance monitoring (APM) using Datadog modules such as Spans and Traces to detect and diagnose issues proactively.

- Develop comprehensive dashboards and alerts tailored to business and technical requirements to provide actionable insights.

- Manage and optimize Datadog billing and resource usage for cost-effective monitoring.

- Integrate Datadog with incident management and collaboration tools such as PagerDuty, ServiceNow, Slack, and Jira to streamline alerting and resolution workflows.

- Collaborate with DevOps, SRE, and engineering teams to implement Datadog agents and custom integrations for cloud platforms including AWS, Azure, and Google Cloud Platform (GCP).

- Tune Linux systems, network configurations, and application performance to enhance monitoring accuracy and response times.

- Extend Datadog functionality through custom plugins, scripts, and configurations as required.

- Analyze system and application logs to detect anomalies and ensure system health and security monitoring.

- Provide expert-level guidance on application platforms, architecture, and monitoring best practices, covering networking, databases, runtime environments, and user interfaces.

- Develop and maintain technical documentation related to Datadog implementations and monitoring standards.

- Communicate effectively with stakeholders, troubleshoot complex issues, and provide resolution recommendations.

- Stay current with the latest Datadog features, cloud technologies, and monitoring industry trends.

- Automate monitoring deployment and configuration tasks using Ansible or similar configuration management tools.

- Leverage scripting skills in Python or Node.js to enhance monitoring workflows and automation.

Required Skills and Qualifications

- 4+ years of experience designing, implementing, and managing Datadog monitoring solutions.

- Strong hands-on experience with Datadog modules: Infrastructure Monitoring, APM, RUM, Logs, Synthetics, Cloud Monitoring, Database, Network, and Security Monitoring.

- Deep understanding of distributed tracing concepts including spans and traces.

- Expertise in creating interactive, insightful dashboards and configuring alerting systems.

- Experience integrating Datadog with ITSM and incident management tools such as PagerDuty, ServiceNow, Slack, and Jira.

- Proficient with cloud platforms AWS, Azure, and GCP, including deployment and monitoring strategies.

- Strong knowledge of Linux operating systems, networking, and system performance tuning.

- Familiarity with scripting languages like Python and Node.js to create custom monitoring solutions and automation.

- Working knowledge of Ansible or similar automation/configuration management tools.

- Solid understanding of application architecture, including databases, middleware, front-end/back-end layers, and networking.

- Excellent communication, teamwork, and problem-solving skills.

- Ability to work independently and collaboratively in a fast-paced, agile environment