Senior SRE / DevOps / Platform & Observability Engineer | Dynatrace | Kubernetes | OpenTelemetry

• Operate and continuously optimize Dynatrace SaaS Full Stack for distributed applications and data tiers including ClickHouse, PostgreSQL and Redis across cloud, Kubernetes and microservices architectures. • Own production observability incidents and requests end to end across performance, instrumentation, telemetry, logs, traces, metrics and alerting, from diagnosis and root-cause isolation through validation and closure. • Use Grail and DQL to correlate logs, metrics, spans, events and entities; build technical, operational and business dashboards that turn telemetry into actionable engineering signals. • Instrument and troubleshoot OpenTelemetry / OTLP pipelines, exporters, resource attributes, trace and metric flow, and telemetry cardinality to improve signal quality and interoperability. • Automate observability and operational workflows with Dynatrace Automation Engine / Workflows, REST APIs, Python, Bash and Terraform; use Davis AI for causal analysis, anomaly detection and prioritization. • Implement observability for GenAI / LLM workloads with Langfuse, correlating latency, errors, dependencies, consumption and application/model telemetry with wider platform signals. • Apply SRE and platform-engineering practices around reliable telemetry, reusable automation, incident ownership and reduction of manual operational work.

• Administer observability across AWS EKS and OpenShift, deploying Dynatrace Operator / OneAgent through ArgoCD and GitOps practices, including namespaces, DaemonSets and security constraints. • Monitor and troubleshoot applications and infrastructure with Dynatrace APM, metrics, logs, distributed tracing and dashboards; support event-driven autoscaling with KEDA in Kubernetes environments. • Integrate Prometheus and OpenTelemetry with Dynatrace to expand telemetry coverage and strengthen cross-signal correlation across cloud-native services. • Define SLIs, SLOs and Error Budgets and align alerting to service reliability, actionable signal and faster incident diagnosis / MTTR reduction. • Work across SRE, DevOps and platform concerns spanning Kubernetes reliability, observability onboarding, incident troubleshooting, automation and cloud-native operations.

• Administer Dynatrace Full Stack for business-critical banking applications, infrastructure and distributed services, including OneAgent, ActiveGate, tagging, Management Zones and maintenance windows. • Own monitoring and APM incidents and requests independently: analysis, troubleshooting, root cause analysis, resolution, validation and SLA-based closure in a high-criticality enterprise environment. • Investigate application and service degradations using APM, Service Flow, distributed traces, metrics, logs, events and dependency analysis; perform advanced Java/JVM, GC and thread-dump troubleshooting. • Configure and maintain Real User Monitoring (RUM) and Synthetic HTTP / Browser Monitoring for user experience, availability and critical user journeys. • Build technical, ops and executive dashboards and tune anomaly detection, metric events, thresholds, alerting profiles and notification rules to improve signal quality and reduce noise. • Administer log monitoring and correlate logs with traces, services and metrics during production investigations across distributed applications. • Support the evolution from Dynatrace Managed to Dynatrace SaaS and implement Observability as Code with Monaco, Terraform, Git and CI/CD to version dashboards, alerting and configuration. • Integrate ServiceNow for automated ticket creation/enrichment and operate alongside Splunk, ELK, Prometheus and Grafana; automate recurring tasks through APIs, Python/Bash and Jenkins/GitLab CI/CD.