Hiring | Dynatrace Observability Lead | Remote | Contract

• 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.