Data Dog Admin Engineer

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

Datadog
AWS
ServiceNow
terraform
CloudFormation
Fluentd
ELK stack
Prometheus
Grafana.

Job Details

This is NOT an DevOps position.  This is a DataDog admin/engineer position.

Vega Consulting Solutions is hiring! Lead Systems Engineer (Datadog, AWS & ServiceNow Integration). This position is hybrid. Candidates will be required to the client site in Wash DC at least one a month.

Job Summary

This is NOT an DevOps position.  This is a DataDog admin engineering role. The Selected candidate will work with  Data Dog on a daily basis.in addition to configuring dashboards on a daily basis.

We are seeking a seasoned Data Dog, Lead Systems Engineer with expertise in Datadog, AWS, and ServiceNow integration. In this leadership 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

  • Data Dog setup
  • On prem and AWS platform
  • experience with setting up/ migrating to ServiceNow CMDB
  • Big Panda- nice to have
  • Linux
  • Migration to AWS
  • Lead the architecture, design, and implementation of end-to-end monitoring solutions using Datadog, ensuring high availability and performance of cloud-based services.
  • 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.

Requirements

  • Bachelor s 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 with Datadog, including complex dashboards, integrations, and custom metrics.
  • 2+ years of experience integrating Datadog with ServiceNow, including incident management workflows, event management, and CMDB integration.
  • 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:
  • 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).
  • Excellent leadership and mentorship skills with experience in cross-functional collaboration.
    Soft Skills
    Strong leadership and communication skills to effectively guide a team.
    Excellent problem-solving skills with the ability to handle high-pressure situations.
    Organizational and prioritization skills to manage multiple tasks and projects effectively.

If you have the required Data Dog Engineering skills and live within a commutable distance to Wash DC, Select Apply Now and a Vega Staffing Specialist will reach out to you

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.