Job Summary
Lead troubleshooting and resolution of highly complex enterprise and cloud platform issues impacting production environments. Analyze diagnostic logs telemetry packet captures and performance metrics from Cisco enterprise platforms. Diagnose and resolve advanced issues related to search execution limitations data onboarding pipelines dashboard and analytics platforms and field extraction and lookup configurations. Replicate and reproduce complex customer issues in lab environments
Responsibilities
Lead troubleshooting and resolution of highly complex enterprise and cloud platform issues impacting production environments. Analyze diagnostic logs telemetry packet captures and performance metrics from Cisco enterprise platforms. Diagnose and resolve advanced issues related to search execution limitations data onboarding pipelines dashboard and analytics platforms and field extraction and lookup configurations. Replicate and reproduce complex customer issues in lab environments for deep technical investigation and validation. Provide advanced troubleshooting and debugging incident and escalation management documentation and knowledge management. Offer technical mentoring and leadership while collaborating cross-functionally. Manage customer communication and proactively identify cases lacking progress working with Technical Leads and engineering teams to accelerate issue resolution. Create and manage JIRA tickets for identified defects feature requests and operational improvements. Develop troubleshooting guides runbooks and standard operating procedures. Organize and facilitate weekly technical enablement sessions knowledge-sharing workshops and troubleshooting reviews based on trend analysis and team feedback. Mentor junior engineers and provide guidance on troubleshooting methodologies best practices and escalation handling.
Required technical skills include cloud and platform technologies AWS Azure and Google Cloud Platform. Proficiency in SPL queries Linux system administration Splunk administration and search optimization is essential. Candidates must be capable of analyzing Splunk logs metadata and scheduler.log with awareness of vulnerability and threat management and basic knowledge of networking concepts. A solid understanding of Splunk architecture and its core components is required along with experience using JIRA Confluence and Git/GitHub.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
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