Role : Dynatrace Observability Lead
Location : Remote
Duration : Long-term Contract
Job Description :
Primary/Must-have: Dynatrace, with strong hands-on monitoring experience
Good to have: Splunk
Soft skills: Leadership capabilities and effective client communication
Please find the detailed JD below for your reference.
Job Description: Observability & Automation Engineer
Required Experience
7+ years of experience in Observability Engineering or related domains.
Strong experience in Observability and Automation Engineering, including AIOps.
Key Responsibilities
Observability Engineering
Design and implement end-to-end observability solutions across applications, infrastructure, and cloud environments, including:
Metrics
Logs
Distributed traces
Synthetic monitoring
Real User Monitoring (RUM)
Develop standardized dashboards, alerts, and telemetry frameworks to provide real-time visibility into system health.
Automation & Toil Reduction
Build and deploy automation solutions to eliminate repetitive operational tasks and improve efficiency.
Enable runbook automation, self-healing capabilities, and automated incident triage.
Reliability & Incident Optimization
Define and implement SLIs, SLOs, and alerting strategies to improve service reliability.
Drive improvements in MTTD and MTTR through actionable alerts and telemetry-driven insights.
Proactive Monitoring & AIOps
Implement proactive monitoring, anomaly detection, and predictive alerting to identify issues before customer impact.
Leverage AIOps capabilities for alert correlation and intelligent incident response.
Platform Integration & Enablement
Integrate observability platforms with CI/CD pipelines, cloud services, and ITSM tools such as ServiceNow.
Enable seamless workflows for alerting, escalation, and operational response.
Collaboration & Operational Readiness
Partner with engineering, product, and operations teams to standardize observability practices and establish standards and policies related to operational readiness.
Mentor teams and drive adoption of observability and operational best practices across the organization.
Technical Skills
Observability Tools
Hands-on experience with:
Dynatrace
Splunk
Grafana
OpenTelemetry preferred
Cloud & Infrastructure
Strong expertise in AWS and Google Cloud Platform.
Familiarity with cloud-native architectures.
Programming & Automation
Proficiency in Python.
Telemetry & Instrumentation
Experience implementing metrics, logs, and distributed tracing (MELT) across distributed systems.
Infrastructure as Code
Experience with Terraform.
SRE & Incident Management
Strong understanding of:
SLOs and SLIs
Alerting strategies
Incident response frameworks
Service reliability practices
MTTD and MTTR optimization
Preferred Background
Strong experience in Observability and Automation Engineering.
Experience working with AIOps technologies and practices.
AI Skills & Expectations
All contractor resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities.
Consistent Use
Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other enterprise-approved GenAI platforms.
Applied Productivity
Leverage AI tools to enhance:
Coding
Documentation
Data analysis
Decision-making workflows
Continuous Learning
Stay current with evolving AI capabilities and features.
Apply AI capabilities to improve delivery quality and velocity.