高级自动化工程师 - Dynatrace
Senior Automation Engineer - Dynatrace
主要经验
4年以上IT运维、SRE、DevOps、AIOps或自动化工程经验。
3年以上使用Dynatrace的实战经验，包括APM、基础设施监控、日志、合成测试、事件/问题、仪表板和API。
在使用Python、PowerShell、Bash或其他类似脚本技术进行操作自动化和重复劳动减少方面有丰富经验。
有分析事件/服务请求/问题工单数据的经验，以识别重复的操作活动和自动化机会。
有将识别到的机会转化为自动化脚本、工作流、运行手册和基于API的集成的经验。
有将监控事件与自动化/修复工作流集成的实战经验。
有使用ServiceNow或其他ITSM平台的经验。
有构建自动化时具备适当验证、错误处理、日志记录、回滚和审计控制的经验。
能够直接与运维/SME团队合作，了解实际的故障排除和修复流程。
关键职责
分析历史工单和操作数据，识别高频率、重复性和手动操作的重复劳动。
根据频率、复杂性、可重复性、风险和业务影响评估自动化机会。
建立自动化机会清单并量化潜在的工作量/重复劳动减少。
确定每个用例最适合通过规则、脚本、工作流自动化、AI辅助建议或代理自动化来解决。
利用Dynatrace遥测数据、事件、问题和服务依赖关系，识别AIOps驱动的调查和修复机会。
使用Python、PowerShell、Bash、REST API和现有客户工具开发自动化脚本和工作流。
在Dynatrace与现有客户平台（如ServiceNow、云平台、CI/CD、监控和协作工具）之间建立集成。
为生产操作设计和实现人工审批的修复流程。
实施涵盖技术健康、服务/SLO健康和业务交易验证的恢复验证。
开发可重用的自动化组件和运行手册，而不是一次性脚本。
支持AIOps用例，如事件关联、事件增强、可能原因分析、建议和受控修复。
衡量自动化结果，包括重复劳动减少、自动化覆盖率、MTTR改进和重复事件减少。
与SRE/AIOps架构师和运维团队紧密合作，将识别到的机会转化为实际解决方案
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Primary Experience
4+ years in IT Operations, SRE, DevOps, AIOps or Automation Engineering.
3+ years hands-on experience with Dynatrace, including APM, infrastructure monitoring, logs, synthetics, events/problems, dashboards and APIs.
Strong experience in operational automation and toil reduction using Python, PowerShell, Bash or similar scripting technologies.
Proven experience analyzing Incident/Service Request/Problem ticket data to identify repetitive operational activities and automation opportunities.
Experience converting identified opportunities into automation scripts, workflows, runbooks and API-based integrations.
Hands-on experience integrating monitoring events with automation/remediation workflows.
Experience working with ServiceNow or another ITSM platform.
Experience building automation with appropriate validation, error handling, logging, rollback and audit controls.
Ability to work directly with operations/SME teams to understand actual troubleshooting and remediation processes.
Key Responsibilities
Analyze historical tickets and operational data to identify high-volume, repetitive and manual operational toil.
Assess automation opportunities based on frequency, complexity, repeatability, risk and business impact.
Build an automation opportunity backlog and quantify potential effort/toil reduction.
Identify whether each use case is best addressed through rules, scripts, workflow automation, AI-assisted recommendations or agentic automation.
Use Dynatrace telemetry, events, problems and service dependencies to identify opportunities for AIOps-driven investigation and remediation.
Develop automation scripts and workflows using Python, PowerShell, Bash, REST APIs and existing client tools.
Build integrations between Dynatrace and existing client platforms such as ServiceNow, cloud platforms, CI/CD, monitoring and collaboration tools.
Design and implement human-gated remediation for production operations.
Implement recovery validation covering technical health, service/SLO health and business transaction validation.
Develop reusable automation components and runbooks rather than one-off scripts.
Support AIOps use cases such as event correlation, incident enrichment, probable-cause analysis, recommendation and controlled remediation.
Measure automation outcomes including toil reduction, automation coverage, MTTR improvement and recurring-incident reduction.
Work closely with SRE/AIOps architects and operations teams to convert identified opportunities into PDP2 Thin MVP use cases and production-ready automation.
Secondary Experience
Experience with Dynatrace Workflows / Automation Engineer and Dynatrace APIs.
Dynatrace Intelligence / Davis AI experience.
ServiceNow Incident/Problem/Change integration and REST APIs.
AWS/Azure infrastructure and cloud automation.
Kubernetes/EKS and containerized application environments.
Terraform, Ansible or similar infrastructure automation.
Jenkins, GitHub Actions or Harness.
Splunk, CloudWatch or other observability/monitoring platforms.
REST APIs, webhooks and event-driven architectures.
Slack/Microsoft Teams operational integrations.
Experience with AI/GenAI, LLM, RAG or AI-agent based IT operations.
Understanding of SLI/SLO, error budgets and SRE practices.
Experience developing automation business cases and ROI/toil-reduction calculations.
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
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Originally posted on Himalayas