Sai Prakash Kankanala
Devops Engineer @Barclays
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WORK HISTORY
Devops Engineer @Barclays
Supported a regulated retail banking payments platform by designing controlled CI/CD pipelines using Jenkins and GitHub Actions, enabling frequent, auditable releases across development, testing, and production environments. • Standardized cloud infrastructure provisioning through Terraform and Kubernetes, reducing manual configuration effort 32% while supporting scalable transaction processing under variable customer demand patterns. • Embedded security scanning, artifact management, and approval workflows into GitHub Actions pipelines, shortening release validation cycles 18% while maintaining compliance with internal risk and governance controls. • Established centralized observability using Prometheus, Grafana, and ELK Stack, improving visibility into service health, deployment failures, latency trends, and SLA compliance across distributed payment authorization microservices. • Optimized Kubernetes autoscaling and resource allocation policies, lowering infrastructure costs 21% while preserving consistent throughput during seasonal transaction spikes in high-volume banking workloads. • Took shared ownership of production releases and on-call rotations, partnering with application and security teams to align DevOps workflows with regulatory and audit requirements, ensuring controlled access and traceable delivery execution. Developed incident response runbooks and alerting workflows aligned to SLA targets and error budget thresholds, reducing mean time to recovery 24% and stabilizing customer-facing payment services during production incidents.
EDUCATION
SRM University, AP
Bachelor of Business Administrator
Stevens Institute of Technology
Master of Engineering - MEng, Information Technology
ABOUT SAI PRAKASH KANKANALA
DevOps Engineer with 3+ years of experience delivering cloud native CI/CD, infrastructure automation, and reliability engineering for regulated retail banking platforms. Expert in Jenkins, GitHub Actions, Terraform, Kubernetes, AWS, and Azure, enabling secure deployments, scalable architectures, and observable systems. Proven impact reducing release cycles, infrastructure costs, and recovery times through automation, SRE practices, and compliance aligned DevOps operating models across complex distributed production environments supporting high volume transactional workloads systems.
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