Dynatrace Observability Consultant

Infosat IT Services LLC; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Infosat IT Services LLC seeks a Dynatrace Observability Consultant for a remote, 12+ month contract. Candidate should bring 7+ years in Observability Engineering or related domains and strong automation/AIOps experience.

Responsibilities include end-to-end observability design across apps, infra, and cloud, plus CI/CD and ITSM integrations. Role emphasizes proactive monitoring, runbook automation, and improving MTTD/MTTR with telemetry-driven insights.

Qualifications

• 7+ years of experience in Observability Engineering or related domains.
• Strong experience in Observability and Automation Engineering, including AIOps.
• Hands-on with Dynatrace, Splunk, Grafana and OpenTelemetry.

Responsibilities

• Design and implement end-to-end observability solutions across applications, infrastructure, and cloud environments, including metrics, logs, traces, synthetic monitoring and RUM.
• Develop dashboards, alerts, and telemetry frameworks for real-time visibility into system health.
• Build automation to eliminate repetitive tasks, enable runbook automation and self-healing.
• Define SLIs/SLOs and alerting strategies to improve service reliability and MTTR.
• Implement proactive monitoring and predictive alerting using AIOps capabilities.
• Integrate observability platforms with CI/CD, cloud services and ITSM tools like ServiceNow.
• Collaborate with engineering, product and operations teams; mentor and drive adoption of observability practices.
• Demonstrate strong incident management skills and SRE practices.

Skills

Observability Engineering

Automation Engineering

AIOps

Cloud & Infra

Python

Tools

Dynatrace

Splunk

Grafana

OpenTelemetry

Terraform

Job description

Job Tittle: Dynatrace Observability Consultant

Location: Remote

Duration: 12+ Month Contract

Role Descriptions

• 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.