About the role
Client is a multinational technology and consulting company known for its expertise in providing IT services and solutions. With a global presence, it offers a wide range of services including digital transformation, application development, infrastructure management, and business process outsourcing. The company has a strong focus on innovation, leveraging emerging technologies such as artificial intelligence, cloud computing, and data analytics to drive client success. Client is committed to delivering high-quality results and ensuring customer satisfaction through its team of skilled professionals and robust project management methodologies.
Rate Range: $75-$80/Hr
Job Description:
- We are seeking an experienced Datadog Observability Architect to lead enterprise observability initiatives across infrastructure, applications, cloud, and platform services.
- The candidate will be responsible for defining observability architecture, establishing monitoring standards, implementing Datadog solutions, driving platform governance, and enabling AI-driven operational insights.
- The role requires strong consulting, architecture, and stakeholder management skills with the ability to lead large-scale observability transformation programs.
- Define and own enterprise observability architecture, standards, and governance.
- Lead monitoring and observability assessments to identify gaps and improvement opportunities.
- Design and implement scalable Datadog monitoring solutions across infrastructure, applications, databases, middleware, networks, storage, backup, cloud, and collaboration platforms.
- Develop monitoring, alerting, logging, dashboarding, and reporting frameworks.
- Architect and implement Datadog capabilities including Infrastructure Monitoring, APM, Logs, Synthetic Monitoring, RUM, NPM, DBM, and Distributed Tracing.
- Drive observability adoption across hybrid cloud and enterprise platforms.
- Integrate observability solutions with ITSM, AIOps, automation, and AI/GenAI platforms.
- Develop predictive monitoring, anomaly detection, and operational intelligence use cases.
- Optimize monitoring coverage, alert quality, platform performance, and observability costs.
- Provide technical leadership, mentoring, and best practices to engineering and operations teams.
- 10 years of experience in Enterprise Monitoring and Observability.
- 6–7 years of hands-on Datadog implementation and architecture experience.
- Experience leading enterprise observability transformation programs.
- Datadog Infrastructure Monitoring
- Application Performance Monitoring (APM)
- Log Management
- Distributed Tracing
- Database Monitoring (DBM)
- Network Performance Monitoring (NPM)
- Real User Monitoring (RUM)
- Synthetic Monitoring
- Service Catalog & Service Mapping
- SLO/SLI Design and Implementation
- OpenTelemetry
- AWS and Azure Cloud
- Kubernetes and Container Monitoring
- Linux, Windows, and Enterprise Infrastructure Monitoring
- Database, Middleware, Storage, Backup, and Network Monitoring
- Splunk
- ServiceNow
- AIOps Platforms
- Python, PowerShell, Terraform, or Ansible
- API-based Integrations
- DataDog
- Splunk
- AIOps Platforms
About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
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