Sumanth Kattamanchi

• Tackling intricate problems and distributed architectures for maximizing scale and performance of search technologies including Apache Solr
• Orchestrating containers using Kubernetes for handling stateful services including Apache Solr, Kafka, and Memcache
• Utilizing strong production troubleshooting and performance enhancement skills in Apache Solr
• Managing deployments of SolrCloud service through continuous delivery platforms like Spinnaker, Temporal, etc.
• Partnering with engineers throughout Apple to define metrics establish targets identify optimization opportunities outline quality guardrails and launch a product/service that pleases customers
• Articulating day-to-day activities to facilitate comprehensive transition to regional SRE teams

Client: Apple, Inc.

• Engineered a scalable Database-as-a-Service (DBaaS) solution for PostgreSQL using Python, deployed across AWS, GCP, and on-premise environments.
• Leveraged cloud technologies, including AWS RDS, AWS EC2, AWS Aurora, and Cloud SQL, to drive cloud-based infrastructure efficiency.
• Utilized AWS CloudWatch, Splunk, Elasticsearch, Kibana, and Grafana for comprehensive monitoring, metrics analysis, and system health insights.
• Played a key role in fostering DevOps-driven culture, promoting agility and seamless cross-functional collaboration across teams.
• Delivered 24/7 on-call support for high-priority systems, maintaining continuous availability and fast-tracking issue resolution.
• Improved code deployment efficiency by automating processes with CI/CD pipelines.

• Managed multi-million-dollar budgets and timelines for large-scale engineering projects, optimizing resource allocation to meet critical objectives.
• Led the development and deployment of a multi-tenant database partitioning solution, delivering $44M in cost savings for Salesforce infrastructure management.
• Architected and led cross-functional teams to deliver scalable solutions while minimizing customer and infrastructure impact.
• Spearheaded process automation initiatives, improving productivity and reducing manual task-related costs by 5x.
• Proven experience working with Java-based applications, enhancing system integrations and performance.
• Implemented SRE best practices by creating automated monitoring, alerting, and incident management pipelines, leading to a 25% reduction in system downtime.
• Enhanced system reliability by implementing self-healing mechanisms and robust disaster recovery processes, improving overall service uptime and reducing incident response time by 35%.
• Drove infrastructure performance improvements by analyzing key metrics and fine-tuning systems, achieving a 15% increase in application throughput.
• Scalability Expertise: Proven ability to architect, develop, and optimize systems that scale seamlessly to accommodate growing user demand and data volumes, ensuring high availability, performance, and reliability across cloud and on-premise environments.

• Designed and implemented a scalable database architecture, enhancing availability to support 100K additional users.
• Achieved a 10x performance boost for a major reporting database by leveraging data partitioning for scalability.
• Monitored and optimized system performance, resolving bottlenecks through effective performance tuning and reduced response times by 4x.
• Provided 24/7 production support, ensuring system uptime and rapid issue resolution.
• Developed tools for proactive monitoring and alerting of key infrastructure metrics, ensuring early detection and resolution of potential issues.

• Implemented a data usage and performance monitoring system that improved database speed by 4x.
• Demonstrated success in optimizing storage efficiency and maintainability through advanced partitioning strategies.
• Specialized in implementing high-availability and data protection solutions, ensuring data integrity and continuous accessibility.
• Automated routine database tasks, including backup and recovery, performance monitoring, and replication tracking, to enhance operational efficiency.

• Administered and monitored databases, proactively resolving issues to maintain server stability.
• Administered, supported, and monitored databases, proactively resolving issues and ensuring server stability.
• Executed database backups and restores while conducting routine performance monitoring to ensure operational integrity.
• Monitored scripts and alert logs, ensuring database health and continuity through high availability and replication.