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.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
