• Managed Speech & AI SaaS as a Site Reliability Engineer, demonstrating strong initiative and understanding of AI platform architecture.• Implemented a streamlined deployment process utilizing Azure DevOps, enhancing workflow efficiency and ensuring consistent delivery of software updates• Showcased leadership and communication abilities by owning the task of developing and managing synthetic tests in C# for multiple components, delivering high-quality results ahead of schedule, ensuring robust testing frameworks• Upgraded infrastructure release versions for services, maintaining system stability and performance• Contributed to security sprints to reduce secret dependencies in applications and enhance security compliance• Deployed clusters for the engineering team, ensuring smooth transitions and handovers• Maintained a high level of autonomy and organization, consistently meeting deadlines and exceeding expectations

• Worked as Site Reliability Engineer at Nuance to manage Software as a Service (SaaS) platform that focuses on advanced conversational AI experiences for users• Designed, implemented, and maintained scalable infrastructure on Azure, improving system uptime by 15%• Played a key role in coordinating changes to our deployments for upgrades of AKS to versions 1.25, 1.26 and 1.28 ensuring a smooth and successful transition.• Automated Deployment pipeline, by reducing deployment efforts for multiple SaaS Service by 50%• Executed and planned Business Continuity Management (BCM) and Disaster Recovery (DR) activities.• Developed and maintained SLA infrastructure and dashboards for on-call engineers and business teams, ensuring high standards of service delivery.• Acted as a reliable and proactive on-call engineer, managing maintenance, support, and failover tasks efficiently

• Knowledge and experience working in Agile Environment• Led the team for various deployment activities and releases as well as setting up QA and Production Environment• Built and Deployed Docker Containers for implementing microservices architecture• Managed Kubernetes to orchestrate the deployment, scaling and management of Docker Containers• Configured and Managed Nexus Repository for storing Java Artifacts• Worked on configuring Apache Airflow in Kubernetes Cluster for scheduling data pipelines or workflows• Handled Apache and Nginx Server configuration and hardening for Critical systems• Achieved Configuration for MongoDB Sharding Cluster for Production Environment• Configured API Gateway with managing and securing microservices and APIs authentication• Managed and Configured VPC, Networking for Cloud Environment as well as VPN for internal organization• Configured Self Hosted EFK (Elasticsearch & Kibana) for logging and Prometheus, Grafana for resource monitoring• Handled and renewed SSL Certificates for webservers

• Achieved end to end configuration Self-Hosted GitLab, GitPod (IDE) and Eclipse CHE (IDE) in Kubernetes Cluster• Managing Cloud Infrastructure and setting up Development and SIT Environment• Installed Jenkins with Master-Slave setup• Designed and Developed CI/CD pipelines using Jenkins with Maven build and SonarQube Quality Analysis

• Integral member of a team which handles and provides solutions related to Business Processes, Data Analysis and Data Archiving • Ensured working and operational efficiency of network infrastructure with client location from Off Site location• Performed analysis and troubleshooting for recommendations on performance improvement• Performed Extraction of data and visualizing data with analysis for business requirement• Provided proactive problem management to identify Root Cause Analysis to provide permanent solutions• Worked closely with application development, server and storage groups to ensure optimal performance and efficiency• Managed various database activities such as storage management, backup, recovery, and performance tuning• Ease in dealing with end users while working on KPIs, Requirements and detail designs