Skills:
- 10+ years relevant experience in Cloud Architecture, Infrastructure, Operations, Observability, or Application Performance Management.
- 5+ years practical experience designing and governing enterprise observability platforms.
- Strong hands-on experience with Dynatrace, including APM, infrastructure monitoring, Kubernetes monitoring, dashboards, management zones, service mapping, and Davis AI capabilities.
- Experience integrating observability platforms with ServiceNow ITOM / Event Management / ITSM processes.
- Strong experience with logging platforms such as Elastic Stack, OpenSearch, or equivalent enterprise log analytics solutions.
- Experience with open-source monitoring and visualization platforms such as Prometheus, Grafana, and OpenTelemetry.
- Hands-on experience with Azure native monitoring services including Azure Monitor, Log Analytics, Application Insights, Network Watcher, Azure Managed Prometheus, and Azure Managed Grafana.
- Hands-on experience with Alibaba Cloud native monitoring services including CloudMonitor, Log Service (SLS), ActionTrail, ARMS, Managed Service for Prometheus, and related observability services.
- Strong understanding of Kubernetes, containers, microservices, APIs, network monitoring, distributed tracing, cloud networking, IAM, and security principles.
- Experience implementing AIOps, event correlation, anomaly detection, automated remediation, and self-healing operations.
- Experience working in enterprise or regulated environments is highly desirable.
- Relevant professional certifications such as Dynatrace Associate/Professional, Microsoft Azure Solutions Architect Expert, Alibaba Cloud Professional Architect, CKA, ITIL, SRE Foundation, or TOGAF will be an advantage.
- Sound understanding of IT partner ecosystem and partner collaboration in a multinational corporation.
- Experience in top-tier multinational corporation will be an advantage.
- Strong problem-solving and analytical skills.
- Excellent communication, stakeholder management, and collaboration skills.
- Ability to translate complex operational telemetry into actionable service reliability insights.
- Ability to operationalize disruptive technology services, including building implementation roadmaps for observability, AIOps, and self-healing automation.
Roles and Responsibilities:
Observability Architecture & Design
- Define and maintain enterprise observability reference architecture, standards, patterns, and governance across Group and Business Units.
- Design end-to-end observability for infrastructure monitoring, application performance monitoring, distributed tracing, logging, digital experience monitoring, network observability, and service health dashboards.
- Establish observability KPIs, SLOs, SLIs, error budgets, alerting principles, and service reliability reporting standards.
- Review solution designs and ensure observability requirements are embedded from architecture and delivery stages.
Dynatrace Platform Architecture
- Lead architecture and governance of Dynatrace as the enterprise observability platform.
- Design monitoring standards for applications, Kubernetes, virtual machines, databases, middleware, APIs, network services, and cloud-native services.
- Define Dynatrace tagging standards, management zones, dashboard patterns, service mapping, synthetic monitoring, real user monitoring, and Davis AI adoption.
- Drive platform configuration, onboarding patterns, operational dashboards, reporting, and observability data retention standards.
ServiceNow ITOM Integration
- Architect integration between Dynatrace and ServiceNow ITOM Event Management / ITOM Health capabilities.
- Design event correlation, alert enrichment, topology-aware service impact analysis, and automated incident creation workflows.
- Define noise reduction, deduplication, priority mapping, escalation, and operational ownership models.
- Support integration of observability insights into ITSM processes, command center dashboards, and operational reporting.
AIOps & Auto-Healing Automation
- Define and implement AIOps operating patterns for anomaly detection, predictive alerting, root cause identification, and closed-loop remediation.
- Design auto-healing workflows integrated with Dynatrace, ServiceNow ITOM, automation platforms, and cloud-native services.
- Identify repeatable operational failure patterns and convert them into automated remediation runbooks where appropriate.
- Drive continuous improvement to reduce manual intervention, alert fatigue, incident recurrence, MTTD, and MTTR.
Logging & Observability Data Platforms
- Architect centralized logging and log analytics solutions using Elastic, OpenSearch, cloud-native log services, and enterprise logging standards.
- Define log collection, normalization, enrichment, indexing, retention, access control, and cost governance standards.
- Establish patterns for correlation across logs, metrics, traces, events, configuration, and service topology.
- Ensure logging platforms support operational troubleshooting, security visibility, auditability, and compliance requirements.
Open Source Monitoring & Cloud Native Observability
- Design monitoring and visualization solutions using Prometheus, Grafana, OpenTelemetry, and related open-source monitoring platforms.
- Define observability patterns for AKS, Alibaba Cloud ACK, containers, microservices, APIs, service mesh, and DevOps pipelines.
- Establish metrics federation, dashboarding, alerting, and integration approaches with Dynatrace and enterprise platforms.
- Promote consistent instrumentation and telemetry standards across modern application architectures.
Azure & Alibaba Cloud Native Monitoring
- Define monitoring standards for Azure platform services including Azure Monitor, Log Analytics, Application Insights, Network Watcher, Azure Managed Prometheus, Azure Managed Grafana, Azure Advisor, and Azure Resource Health.
- Define monitoring standards for Alibaba Cloud services including CloudMonitor, Log Service (SLS), ActionTrail, ARMS, Managed Service for Prometheus, Security Center, and related observability and alarm services.
- Ensure cloud-native monitoring capabilities are integrated with enterprise observability, ITOM, incident, and reporting processes.
- Drive cost-aware telemetry design across Azure and Alibaba Cloud environments.
Security, Governance & Compliance
- Embed security-by-design, least-privilege access, data protection, and compliance requirements into observability architecture.
- Support audits, risk assessments, regulatory reviews, and evidence requirements related to monitoring, logging, and service reliability.
- Define guardrails for observability platform access, retention, data classification, dashboard sharing, and operational reporting.
- Maintain observability documentation, runbooks, standards, design patterns, and operational controls.
Stakeholder & Technical Leadership
- Act as the enterprise subject matter expert for observability, monitoring, logging, AIOps, and self-healing automation.
- Collaborate with Cloud Architecture, Cloud Engineering, Operations, Security, DevOps, Application, Service Management, and Business Unit teams.
- Mentor engineering and operations teams on observability best practices, platform onboarding, dashboarding, and incident reduction techniques.
- Drive observability transformation initiatives and promote SRE-aligned operational practices across the organization.
Financial and Non-Financial Measures:
- Monitor and optimize observability platform cost, telemetry ingestion, data retention, dashboard usage, and cloud-native monitoring spend.
- Improve monitoring return on investment by rationalizing tools, removing duplication, and improving platform adoption.
- Reduce operational cost through AIOps, automation, event correlation, and self-healing remediation.
- Define and report KPIs for service reliability, alert noise reduction, MTTD, MTTR, incident recurrence, platform availability, and automation coverage.
- Improve end-user experience, application performance visibility, service health transparency, and operational resilience.
- Ensure observability capabilities support business objectives, regulatory expectations, service quality, and operational risk reduction.
- Support vendor and partner engagement to maximize platform value, improve supportability, and reduce operational risk.
Communication Requirements Internal/External
Excellent communication skills both in writing and verbal – English essential
Internal:
- Collaborate with Cloud Architecture, Cloud Engineering, Operations, Security & Compliance, DevOps, Application, and Service Management teams.
- Engage with Finance, Procurement, IT Governance, and Business Units for cost, policy, platform adoption, and operational alignment.
- Provide regular updates to senior leadership on observability maturity, service reliability, AIOps adoption, automation coverage, and operational performance.
External:
- Liaise with Dynatrace, ServiceNow, Microsoft Azure, Alibaba Cloud, Elastic/OpenSearch, and strategic partner technical teams.
- Coordinate with vendors, managed service providers, and system integrators for solution delivery, platform integration, and operational improvements.
- Represent the organization in observability, AIOps, cloud operations, and industry best-practice discussions.
