Overview
On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Skills
APM Architecture
Azure
AWS
GCP
Job Details
The following requirement is open with our client.
Title : Observability Architect
Location : McLean, VA (Onsite)
Duration : 6 Months
Visa Status : H1b/Transfer/OPT EAD/ EAD/s
Relevant Experience (in Yrs): 10 -12
Detailed Job Description:
We are seeking a highly skilled Observability Architect with strong expertise in Dynatrace and Cloud DevOps to design, implement, and optimize enterprise-grade monitoring and observability solutions. The ideal candidate will define observability strategies, enable proactive performance insights, and drive automation to ensure optimal application reliability and availability across hybrid and multi-cloud environments.
Job Responsibilities:
- Define and lead the end-to-end observability strategy leveraging Dynatrace as the core platform.
- Design and implement monitoring architectures for applications, APIs, microservices, databases, and infrastructure.
- Architect and manage service flow mapping, distributed tracing, real-user monitoring (RUM), and synthetic monitoring frameworks.
- Enable AI-driven root cause analysis (RCA), anomaly detection, and self-healing automation through Dynatrace and AIOps integrations.
- Collaborate with DevOps, SRE, and application teams to embed observability practices into CI/CD pipelines.
- Establish and maintain dashboards, SLIs, SLOs, and KPIs aligned with business objectives.
- Ensure best practices for instrumentation of logs, metrics, and traces using OpenTelemetry and similar frameworks.
- Provide governance and technical leadership for observability initiatives across hybrid and multi-cloud environments.
- Mentor teams on observability standards and influence observability maturity roadmaps.
Must-Have Skills:
- 4 years in Observability Monitoring architecture.
- Dynatrace (Observability / APM Architecture)
- Experience with cloud platforms (AWS, Azure, Google Cloud Platform)
- Strong understanding of application architectures microservices, containers (Kubernetes, OpenShift, Docker), APIs, cloud-native apps.
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.