Neha Kundra

• Developed AI-powered incident response automation using Python, LangGraph, OpenAI GPT-4, Flask, and Slack SDK, integrating Prometheus monitoring and Splunk SIEM for real-time alert investigation, reducing MTTR by 75% and eliminating manual oncall escalations

• Implemented infrastructure-as-code (IaC) automation using SaltStack configuration management, Jinja2 templating, and YAML state files, reducing deployment cycles by 70% and achieving zero configuration drift across 200+ production servers

• Orchestrated enterprise AWS cloud migration using EC2, RDS, ELB, Auto Scaling Groups, and CloudFormation, implementing immutable infrastructure patterns that improved system reliability by 20% and achieved 99.99% uptime SLA

• Engineered CI/CD pipeline automation using Jenkins, and GitOps workflows, enabling zero-downtime blue-green deployments across on-premises data centers and cloud reducing release cycles from 72 hours to 7 hours

• Led cloud-native transformation initiative migrating monolithic applications to microservices architecture using Docker, Kubernetes, AWS EKS, and service mesh technologies, reducing operational costs by 25% and improving horizontal scalability

• Implemented proactive monitoring and alerting systems using Prometheus and Grafana, reducing Mean Time to Recovery (MTTR) by 40%
• Developed Python automation framework using REST APIs, Jinja2 templating, streamlined incident response workflows, configuration management tasks, and deployment processes, improving operational efficiency by 35%
• Automated Change Management Request (workflow using Python scripting, and YAML configuration templates, reducing change request authoring time by 30% and eliminating manual data entry errors
• Collaborated with cross-functional service teams during major incident war rooms, providing networking domain expertise for multi-service outages, facilitating technical discussions, and ensuring timely customer communication during service disruptions

• Implemented CI/CD automation using Jenkins and GitLab for order management microservices, enabling 20+ daily releases and supporting 50,000+ concurrent users during peak shopping events

• Designed scalable cart architecture using AWS ECS, Redis clusters, and MySQL databases, processing 100,000+ orders per hour with 99.95% success rate and sub-500ms response times

• Built a monitoring platform using Prometheus, Grafana, and ELK stack for e-commerce workflows, achieving 85% proactive issue detection and reducing cart abandonment latency by 40%

• Established multi-region disaster recovery using automated failover and daily backups, maintaining 99.9% availability during high-traffic sale events

• Deployed centralized logging infrastructure using Elasticsearch cluster, Logstash data processing pipelines, Kibana visualization dashboards, and Filebeat agents across 150+ microservices, achieving near real-time log ingestion with ≤2 seconds latency

• Administered 200+ Linux servers (RHEL, Ubuntu, CentOS) and enterprise applications using Ansible configuration management, Puppet automation, and Nagios monitoring, maintaining 99.8% system availability across distributed data center environments

• Developed Python and Bash automation scripts for server provisioning, configuration management, and system monitoring using Terraform, Salt, and Jenkins pipelines, reducing manual deployment tasks by 75% and operational overhead by 50%

• Created comprehensive technical documentation using Confluence, GitLab wikis, and Markdown templates for system deployment procedures, troubleshooting runbooks, and incident response workflows, reducing new team member onboarding time from 3 weeks to 1 week

• Maintained 99.99% uptime for Cisco Customer Support Platform and Communications (CSPC) application serving 5,000+ enterprise customers, implementing proactive monitoring using Nagios, Splunk log analysis, and automated failover mechanisms to minimize service disruptions and ensure SLA compliance

• Reduced customer escalations by 25% through proactive incident management using ServiceNow ITSM, Python automation scripts, and real-time application performance monitoring, maintaining 95% customer satisfaction rating and improving first-call resolution rates

• Managed Customer Access Platform (CAP) support calls and technical incidents, resolving 90% of Severity 1-3 issues within defined SLA timeframes using ITIL best practices, root cause analysis, and cross-functional collaboration with Cisco engineering teams

• Developed and maintained custom scripts that improved system efficiency by 15% and reduced performance time by 10%
• Provided day-to-day support to system users, training employees on troubleshooting and problem-solving, which reduced support tickets by 20%
• Managed and monitored all installed systems, consistently achieving a 99% level of availability and meeting SLA requirements