Negotiable
Outside
Remote
USA
Summary: The Lead DataDog Systems Engineer is responsible for backend administration and engineering support for the performance monitoring tool, DataDog, specifically focusing on complex dashboards, integrations, and custom metrics. The role requires extensive experience with AWS cloud services and a strong proficiency in scripting and automation. Candidates should have a solid understanding of networking and security best practices, as well as experience leading teams in a cloud operations or DevOps environment. This position is remote and classified as outside IR35.
Key Responsibilities:
- Provide backend admin/engineering support for DataDog performance monitoring tool.
- Lead teams or projects in a cloud operations or DevOps environment.
- Manage and optimize AWS cloud infrastructure.
- Support the monitoring tool, DataDog, including complex dashboards and integrations.
- Utilize scripting and automation for operational efficiency.
- Ensure adherence to networking and security best practices.
Key Skills:
- Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
- 5+ years of experience with AWS cloud services.
- 3+ years of hands-on experience with DataDog.
- Strong proficiency in scripting (Python, Bash, or similar).
- 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.
- Familiarity with observability tools like Prometheus or Grafana.
- Experience with ServiceNow ITOM modules.
- Experience integrating DataDog with ServiceNow.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Must Have:
- Current Health insurance Customer Exp
- Backend Admin/Eng support for perf. monitoring tool, DataDog
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.