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Senior Dynatrace Engineer (Remote)

Remote - NA · senior
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Remote - NA
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Remote
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Senior
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Ai Engineer jobs
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Key Responsibilities Design, deploy, configure, upgrade, and administer enterprise-scale Dynatrace environments . Deploy and manage OneAgent, ActiveGate, extensions, and monitoring configurations across application and infrastructure environments. Implement observability for applications, APIs, microservices, databases, containers, Kubernetes, cloud platforms, and traditional infrastructure. Configure service detection, process groups, management zones, tags, naming rules, metrics, logs, traces, and topology .

Develop operational and executive dashboards, notebooks, reports, SLOs, and alerting strategies . Configure and optimize Davis AI problem detection, anomaly detection, baselines, and root-cause analysis. Implement Real User Monitoring (RUM), Synthetic Monitoring, Session Replay, distributed tracing, and log monitoring as required. Analyze application performance issues, service dependencies, transaction traces, response times, resource utilization, and infrastructure bottlenecks.

Lead troubleshooting of complex production performance and availability incidents using Dynatrace telemetry. Reduce alert noise through effective event correlation, thresholds, anomaly-detection configuration, and monitoring standards. Integrate Dynatrace with enterprise platforms such as ServiceNow, Jira, PagerDuty, Splunk, CI/CD pipelines, and collaboration/notification tools . Automate Dynatrace configuration and deployment using APIs, configuration-as-code, scripting, and DevOps tooling .

Work closely with application, infrastructure, cloud, SRE, DevOps, production support, and operations teams to define observability requirements. Establish Dynatrace monitoring standards, reusable configurations, governance, and best practices. Perform platform health checks, capacity assessments, license/usage optimization, and monitoring coverage reviews. Create technical documentation, runbooks, architecture diagrams, troubleshooting guides, and operational procedures.

Mentor junior engineers and provide technical leadership for observability initiatives. Required Technical Skills 5–8+ years of overall IT experience with significant experience in application/infrastructure monitoring or observability. 3–5+ years of hands-on Dynatrace experience in enterprise environments. Strong knowledge of: Dynatrace OneAgent and ActiveGate Application Performance Monitoring (APM) Infrastructure Monitoring Distributed Tracing Real User Monitoring (RUM) Synthetic Monitoring Log Monitoring and Analytics Metrics, traces, logs, and events Davis AI and automated root-cause analysis Dashboards, SLOs, alerting, and anomaly detection Dynatrace APIs and automation Experience monitoring Java/JVM, .NET, web applications, APIs, microservices, and databases .

Experience with Kubernetes, Docker, OpenShift, or other container platforms . Working knowledge of at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform . Strong understanding of application architecture, HTTP/HTTPS, REST APIs, networking, operating systems, and middleware. Experience with Linux and Windows environments. Scripting/automation experience using Python, PowerShell, Bash, Ansible, Terraform, or similar technologies .

Experience integrating monitoring platforms with ITSM, incident management, and DevOps tools . Strong analytical and production troubleshooting skills. Preferred Skills Experience with Dynatrace Grail, DQL (Dynatrace Query Language), OpenPipeline, and the latest Dynatrace platform capabilities . Knowledge of OpenTelemetry (OTel) and modern telemetry standards. Experience implementing observability for large-scale Kubernetes and cloud-native environments.

Familiarity with SRE practices, including SLIs, SLOs, error budgets, and observability-driven incident management . Knowledge of additional monitoring platforms such as Splunk, AppDynamics, Datadog, New Relic, Grafana, Prometheus, or ELK. Experience with infrastructure-as-code and configuration-as-code approaches. Dynatrace certifications are preferred. Professional Skills Strong problem-solving and root-cause analysis capabilities.

Ability to troubleshoot complex application and infrastructure performance issues independently. Strong written and verbal communication skills. Ability to work effectively with application owners, developers, SREs, infrastructure teams, and senior stakeholders. Ability to translate business and operational requirements into observability solutions. Experience working in enterprise production environments with incident, problem, and change-management processes.

Ability to mentor engineers and drive technical standards across teams. Education & Certification Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent professional experience. Dynatrace Associate/Professional-level certification is desirable. Cloud, Kubernetes, ITIL, SRE, or DevOps certifications are advantageous. Experience Level Senior Engineer Overall Experience: 5–8+ years Dynatrace/Observability Experience: 3–5+ years Expected proficiency: Advanced hands-on implementation, administration, troubleshooting, automation, and solution design

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