Job Summary
Must Have skills
Dynatrace SaaS tenant administration
SaaS architecture and data flow understanding
Role based access control (RBAC)
OneAgent deployment and lifecycle management
Monitoring mode management (Infrastructure vs Full Stack)
Davis AI / problem detection configuration
Cloud observability (Azure focused)
Logs ingestion and analysis
Metrics and DQL (Grail) querying
Dashboards and notebooks creation
Tagging and entity management
ServiceNow integ
Responsibilities
Nice to Have Skills
Experience with OpenTelemetry standards and instrumentation.
Familiarity with SRE practices (SLIs SLOs error budgets).
Experience with automation/scripting (Python Bash Terraform).
Exposure to cost optimization strategies for SaaS observability platforms.
- Build automation scripts and workflows that orchestrate infrastructure provisioning configuration deployment and decommissioning across multiple environments.
- Configure and optimize Dynatrace SaaS including Ruxit capabilities to provide end to end application and infrastructure monitoring tailored to stakeholder needs.
- Set up detailed performance dashboards alerts and reports in Dynatrace to proactively identify service degradation and support data driven decision making.
- Integrate monitoring and incident workflows with Service Now to streamline incident problem and change records with accurate technical context.
- Collaborate with product owners architects and operations teams to translate requirements into practical cloud and automation solutions that improve reliability.
- Perform root cause analysis on recurring incidents using AI Ops and observability data and implement permanent fixes that reduce operational risk.
- Establish and refine cloud governance practices including tagging standards access controls cost optimization and compliance monitoring for Azure resources.
- Drive continuous improvement of deployment pipelines by embedding automation quality checks and monitoring hooks to enable safer and faster releases.
- Document cloud architectures operational runbooks and troubleshooting guides to ensure knowledge sharing and consistent incident response across teams.
- Mentor peers on cloud engineering automation monitoring and incident response practices to uplift overall team capability and resilience.
Qualifications
- Possess extensive hands on experience in Azure cloud services including compute storage networking identity and platform native automation capabilities.
- Demonstrate strong Unix administration expertise covering system performance tuning shell scripting security hardening and troubleshooting.
- Apply AI Ops concepts using observability data to detect anomalies correlate events and recommend automated remediation actions in production environments.
- Show deep proficiency in Dynatrace SaaS including Ruxit modules with skills in creating dashboards alert rules management zones and custom metrics.
- Exhibit practical experience in building and maintaining automation using scripting languages infrastructure as code tools and workflow orchestrators.
- Utilize Service Now for incident problem and change processes with the ability to design and improve automation between monitoring tools and ticketing.
- Communicate effectively with cross functional teams and stakeholders providing clear updates on incidents changes and technical improvements.
- Adopt modern engineering practices including version control code review documentation testing and continuous integration for infrastructure and automation.
- Display familiarity with cloud security principles compliance standards and best practices relevant to operating workloads in enterprise Azure environments.
- Adapt quickly to evolving cloud technologies tools and processes while maintaining focus on reliability user experience and business value.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
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