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
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.
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