Sai Sasi Kumar Reddy Telluri

• Reduced Downtime : Achieved a 20% reduction in system downtime by proactively monitoring key systems, conducting root cause analysis, and implementing real-time alerting using Prometheus, Grafana, and New Relic.
• Accelerated Release Cycles : Boosted release cycle speed by 40% by designing and optimizing CI/CD pipelines with Jenkins and GitLab, enabling faster and more reliable deployments across diverse environments.
• Automated Infrastructure Management : Automated 60% of manual configuration efforts by leveraging Ansible, Terraform, and Kubernetes for infrastructure management, ensuring consistent and error-free deployments.
• Improved System Reliability : Enhanced system reliability and performance through capacity planning, performance assessments, and implementing scalable, cloud-native designs using AWS services (EKS, EC2, Lambda).
• Cloud Migration : Successfully migrated legacy applications to AWS (EKS, EC2, Lambda) with zero data loss and minimal disruption, ensuring high availability and maintaining peak performance during the migration process.
• Automation Script Development : Developed 30+ Bash/Python scripts to eliminate repetitive operational tasks, increasing productivity and reducing manual toil across various environments.
• Cost Optimization : Reduced monthly AWS cloud expenditure by 15% through strategic cost optimization initiatives such as EC2 rightsizing, auto-scaling, and cleaning up unused resources.
• Enhanced Observability : Improved observability by maintaining comprehensive dashboards and SLI/SLO tracking using Datadog, Prometheus, and the ELK stack, significantly improving incident detection and root cause analysis (RCA).
• Optimized Incident Response : Streamlined incident response workflows by creating standardized runbooks, formalizing RCA documentation, and leading cross-functional postmortems for high-priority outages, improving future response times.
• Cross-Functional Collaboration : Collaborated with product, QA, and development teams to define technical requirements, delivering scalable, secure, and efficient infrastructure solutions that met organizational needs.

• AWS Infrastructure Management : Designed and managed AWS infrastructure for 1000+ EC2 instances supporting multiple applications, ensuring 99.99% uptime and adherence to the AWS Well-Architected Framework.
  
• Infrastructure Automation : Automated 95% of infrastructure provisioning using Terraform and Ansible, reducing environment setup times from 2 hours to under 15 minutes.
  
• CI/CD Pipeline Optimization : Built and maintained CI/CD pipelines with GitLab and Jenkins for 25+ microservices, improving deployment frequency from bi-weekly to weekly and reducing rollback rates by 30%.
  
• Container Orchestration : Orchestrated 20+ containerized applications using Kubernetes (EKS) and Docker, ensuring zero-downtime deployments and scalability during peak traffic.
  
• Scripting & Automation : Developed 40+ Bash/Python scripts for monitoring, log rotation, backups, and environment provisioning, saving approximately 10 engineer-hours per week.
  
• Observability Enhancement : Integrated Grafana, Prometheus, and New Relic for 200+ services, reducing Mean Time to Detect (MTTD) by 35% and providing actionable alerts.
  
• Backup & Recovery : Implemented snapshot-based backups and versioned S3 archival, ensuring 100% recovery success during monthly disaster recovery drills.
  
• Incident Management : Led incident management for 100+ critical issues using ServiceNow and JIRA, reducing Mean Time to Resolution (MTTR) by 40%.
  
• Cost Optimization : Optimized cloud costs by identifying inefficiencies, saving $8,000–$10,000 annually through rightsizing EC2 instances and optimizing S3 storage.
  
• Distributed Tracing Implementation : Integrated OpenTelemetry and Jaeger for distributed tracing across 15+ services, enabling root cause analysis for over 1000 EC2-hosted applications.
  
• Hybrid Cloud Management : Managed hybrid cloud environments with 80% on AWS and 20% on Azure, providing robust, multi-region, and multi-cloud infrastructure.
  

Security & Compliance : Secured cloud resources with IAM policies, TLS, encrypted volumes, and audit trails using CloudTrail and GuardDuty, maintaining 100% compliance during security audits.

• AWS Infrastructure for BFSI : Architected and managed AWS infrastructure supporting critical BFSI applications with 100+ EC2 instances, 8 VPCs, and 30 security groups, ensuring 99.99% uptime for high-frequency trading platforms.
• GIT Mirroring for SVN : Implemented GIT mirroring for SVN repositories, improving deployment speed by 30% and reducing integration issues, enhancing the availability of capital markets applications.
• CI Pipeline Automation : Automated CI pipelines using Jenkins and Git, increasing deployment frequency by 40% and reducing rollback rates by 20%, critical for maintaining uptime in financial transactions.
• Build & Deployment Optimization : Developed and optimized build scripts using ANT, MAVEN, and Jenkins, reducing downtime and manual errors by 35%, ensuring smooth deployments for banking platforms under SLAs.
• Customized Deployment Tools : Integrated custom deployment tools with GitHub, improving deployment workflows and reducing deployment times by 25%, boosting productivity in capital markets.
• Artifact Management with Nexus : Designed and implemented Nexus binary repository for artifact management, reducing CI deployment times by 20% and ensuring compliance with security protocols in the BFSI sector.
• Infrastructure Automation : Leveraged AWS CloudFormation and Terraform to automate provisioning, reducing time by 50% and enabling scalable, secure environments for financial applications.
• Ansible Playbook Management : Managed and optimized Ansible Playbooks for continuous deployment of 15+ services, ensuring secure, consistent, and rapid deployments for financial systems.
• PostgreSQL Database Management : Ensured 99.99% availability of PostgreSQL databases supporting real-time trading applications, managing backups and recovery procedures with zero data loss during critical operations.
• Splunk Monitoring Integration : Deployed and configured Splunk for comprehensive monitoring, reducing downtime by 15% and enhancing proactive monitoring for capital markets transactions.
• Nagios for Server Monitoring : Monitored and managed 2500+ virtual servers using Nagios, improving MTTR by 25% and minimizing disruptions for trading platforms and customer services.
• Deployment Automation with Bash : Automated application deployments using Bash scripting, reducing manual intervention by 20%, ensuring uninterrupted service for financial applications.

• Version Control Management : Managed branching, tagging, and merging for multiple releases, reducing conflicts by 30% through streamlined workflows.
• AWS Infrastructure Design : Designed AWS infrastructure tailored to application requirements, improving scalability and reducing operational overhead by 25% through optimized resource allocation.
• Security Implementation : Implemented robust security using VPC, IAM, Security Groups, and NACLs, ensuring 100% compliance with internal security standards and minimizing exposure to risks.
• Stakeholder Collaboration : Collaborated with stakeholders to gather and translate customer requirements into effective AWS solutions, improving service delivery speed by 20%.
• Version Control Optimization : Created and managed repositories and branches for the development team, streamlining version control and reducing integration issues by 15%.
• Git Notifications : Configured Git to notify all teams of changes, improving collaboration and avoiding conflicts, which enhanced team efficiency by 25%.
• Chef Automation : Developed Chef Recipes to automate configuration, deployment, and maintenance, reducing manual efforts by 40%.
• Build Process Automation : Automated Java build processes using Jenkins, improving build speed by 30% and ensuring consistent deployments.
• CI/CD Pipeline Implementation : Collaborated with teams to implement CI/CD pipelines, accelerating delivery and ensuring continuous integration of features.
• AWS Services Utilization : Implemented AWS Lambda, S3, DynamoDB, and SNS, enhancing data processing speed and availability by 25%.
• Infrastructure Automation : Automated infrastructure management with AWS CloudFormation and Terraform, reducing manual provisioning time by 40% and ensuring consistency.
• Monitoring & Alerting Solutions : Designed and implemented monitoring and alerting using CloudWatch and SNS, reducing downtime by 20%.
• Lambda Function Development : Developed Lambda functions for automated data processing and real-time notifications, improving workflow efficiency and response times by 30%.

• 24/7 Monitoring & Support : Managed Splunk Enterprise Security and AWS CloudWatch for metrics and alarms across 50+ EC2 instances, handling 150+ incidents/month, reducing Mean Time to Detect (MTTD) from 20 min to 8 min and Mean Time to Repair (MTTR) by 35%.
• End-to-End Observability : Deployed ELK Stack and Grafana for centralized log analysis and metrics across 100+ KPIs (CPU, memory, app health), reducing escalations by 25%.
• Automated Patching & Compliance : Orchestrated Chef and Ansible workflows to apply patches across 200+ Linux/Windows nodes, shrinking patch windows from 8 hours to 2 hours, ensuring 100% SLA compliance.
• Deployment Efficiency : Enhanced Jenkins pipelines with deployment tracking and health-checks, reducing deployment time from 45 min to 12 min, increasing first-time success rates to 95%.
• Infrastructure Automation : Automated 90% of routine tasks (EC2 provisioning, security-group updates, EBS resizing) using AWS CloudFormation and Terraform, reducing manual effort by 60% and enabling self-service environments in 30 min.
• CI/CD Optimization : Maintained Jenkins master–agent grid (10+ agents), optimizing concurrency to support 30+ nightly builds, increasing throughput by 40%.
• Automated Alerting & Remediation : Developed Ansible playbooks to configure CloudWatch alarms and auto-remediation scripts, eliminating 50+ false-positive alerts/month and ensuring critical alerts reach on-call engineers within 2 min.
• Documentation & Runbooks : Created 30+ runbooks covering monitoring, patching, and deployment procedures, reducing on-call handover time by 50% and accelerating new-hire onboarding.

• Meeting Coordination & Stakeholder Alignment : Coordinated and scheduled 20+ weekly client and internal meetings, distributing minutes within 24 hours, ensuring 100% stakeholder alignment and follow-up on action items.
• Project Reporting & Executive Briefing : Compiled and maintained project summaries for leadership, reducing time spent retrieving data by 30%, ensuring executives were always informed.
• Cross-Functional Collaboration : Facilitated 10+ workshops each month with development, QA, and client teams, translating business needs into clear requirements, improving first-pass acceptance rates by 25%.
• Pre-Sales Support & Proposal Success : Crafted 15+ technical presentations, contributing to securing two new BFSI engagements and boosting proposal win rates by 20%.
• Stakeholder Communication : Effectively communicated complex information across all levels (end users to C-suite), maintaining transparency and trust throughout project lifecycles.
• Quality Assurance & Defect Prevention : Partnered with developers and QA to translate requirements into test scenarios, reducing defect leakage into production by 15%.
• Requirements Elicitation & Scope Definition : Led 10+ elicitation sessions with business and system owners, defining scope for platform enhancements and speeding up sign-off by 40%.
• Documentation & Zero-Rework Deployment : Authored 30+ functional specs and technical documents, ensuring clarity and supporting zero-rework deployments.
• Risk Assessment & Delivery : Participated in steering-committee calls, providing risk assessments and mitigation plans, improving on-time delivery by 20%.
• Support & Onboarding : Documented system architectures and updated runbooks, reducing post-go-live support tickets by 25% and accelerating new-hire onboarding by 50%.
• Client Relationship Management : Managed long-term client relationships, contributing to a 9/10 client satisfaction score through regular feedback and proactive issue resolution.