We are seeking a seasoned Lead Systems Engineer with deep expertise in Datadog, as a backend Engineering professional, within an AWS Environment.

In this role, you will oversee the design, implementation, and maintenance of comprehensive monitoring, observability, and incident management solutions for cloud-based infrastructure and applications. You will play a key role in guiding the team to ensure operational excellence, system reliability, and seamless collaboration across IT and engineering teams.

Responsibilities
- Lead the architecture, design, and implementation of end-to-end monitoring solutions using Datadog, ensuring high availability and performance of cloud-based services. Backend Administration/Engineering support of the DataDog tool is a primary responsibility
- Oversee the deployment and management of AWS resources (EC2, RDS, Lambda, ECS/EKS, S3, etc.), ensuring adherence to best practices for scalability, security, and cost optimization.
- Define monitoring strategies and best practices, including Datadog dashboards, monitors, alerts, and custom metrics for comprehensive observability.
- Architect and manage the integration of Datadog with ServiceNow to automate incident management workflows, event correlation, and CMDB synchronization.
- Provide technical leadership and mentorship to junior engineers on best practices for monitoring, logging, and observability.
- Collaborate with cross-functional teams to integrate monitoring and logging into CI/CD pipelines and cloud infrastructure.
- Drive continuous improvement in system reliability, including SLO/SLI definitions, synthetic monitoring, and anomaly detection.
- Contribute to and enforce Infrastructure as Code (IaC) standards using Terraform, CloudFormation, or similar tools.
- Participate in high-severity incident management, root cause analysis, and the implementation of corrective actions to prevent future occurrences.

Want to learn more? Then you should contact Elite Technical right away for consideration!

Required Skills

Requirements
-- Bachelors degree in Computer Science, Information Technology, or a related field (or equivalent experience).
-- 5+ years of experience with AWS cloud services, including deployment, management, and optimization of cloud infrastructure.
-- 3+ years of hands-on experience supporting the monitoring tool, Datadog. Seeking candidates with backend administration/engineering support of DataDog (not frontend Monitoring users). Must know all functionalities of the DataDog tool, and complex dashboards, integrations, and custom metrics.
-- Demonstrated experience leading teams or projects in a cloud operations or DevOps environment.
-- Strong proficiency in scripting and automation (Python, Bash, or similar).
-- Solid understanding of networking, security best practices, distributed systems, and troubleshooting complex cloud architectures.

Preferred Skills (Nice to Have)
-- Experience with Infrastructure as Code (Terraform, CloudFormation).
-- AWS certifications (e.g., AWS Certified Solutions Architect, DevOps Engineer).
-- Experience with Kubernetes monitoring and log aggregation solutions (Fluentd, ELK stack).
-- Familiarity with other observability tools like Prometheus or Grafana.
-- ServiceNow certifications or experience with ServiceNow ITOM modules (Discovery, Event Management, CMDB).
-- Eperience integrating Datadog with ServiceNow, including incident management workflows, event management, and CMDB integration.