Source description
About the role
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
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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
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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.
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Define monitoring strategies and best practices, including Datadog dashboards, monitors, alerts, and custom metrics for comprehensive observability.
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Architect and manage the integration of Datadog with ServiceNow to automate incident management workflows, event correlation, and CMDB synchronization.
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Provide technical leadership and mentorship to junior engineers on best practices for monitoring, logging, and observability.
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Collaborate with cross-functional teams to integrate monitoring and logging into CI/CD pipelines and cloud infrastructure.
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Drive continuous improvement in system reliability, including SLO/SLI definitions, synthetic monitoring, and anomaly detection.
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Contribute to and enforce Infrastructure as Code (IaC) standards using Terraform, CloudFormation, or similar tools.
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Participate in high-severity incident management, root cause analysis, and the implementation of corrective actions to prevent future occurrences.
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Want to learn more? Then you should contact Elite Technical right away for consideration!
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Required Skills
Requirements
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-- Bachelors degree in Computer Science, Information Technology, or a related field (or equivalent experience).
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-- 5+ years of experience with AWS cloud services, including deployment, management, and optimization of cloud infrastructure.
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-- 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.
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-- Demonstrated experience leading teams or projects in a cloud operations or DevOps environment.
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-- Strong proficiency in scripting and automation (Python, Bash, or similar).
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-- Solid understanding of networking, security best practices, distributed systems, and troubleshooting complex cloud architectures.
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Preferred Skills (Nice to Have)
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-- Experience with Infrastructure as Code (Terraform, CloudFormation).
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-- AWS certifications (e.g., AWS Certified Solutions Architect, DevOps Engineer).
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-- Experience with Kubernetes monitoring and log aggregation solutions (Fluentd, ELK stack).
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-- Familiarity with other observability tools like Prometheus or Grafana.
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-- ServiceNow certifications or experience with ServiceNow ITOM modules (Discovery, Event Management, CMDB).
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-- Eperience integrating Datadog with ServiceNow, including incident management workflows, event management, and CMDB integration.
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