Balakrishna V

As an AI-Driven DevOps & SRE Engineer, I lead initiatives to enhance operational excellence and infrastructure reliability across multi-cloud environments (AWS, Azure, GCP) for CareFirst Blue Cross Blue Shield.

• Architected and maintained scalable multi-cloud infrastructure (AWS, Azure, GCP) supporting performance-intensive AI/ML workloads.
• Designed and implemented AI-driven prompts for shell scripts, YAML configurations, and monitoring dashboards, orchestrating scalable automation within CI/CD pipelines using Jenkins, Azure DevOps, and GitHub Actions.
• Reduced release activity time by 90% and achieved 99% faster deployments by implementing CI/CD pipelines and Datadog Watchdog anomaly detection.
• Enhanced system observability and reduced incidents by implementing Datadog AIOps and anomaly detection, proactively identifying and forecasting bottlenecks.
• Optimized database performance, reducing query response time by 90% through Datadog monitoring, performance tuning, and efficient resource allocation.

As a Senior DevOps Engineer, I delivered robust cloud infrastructure solutions and optimized CI/CD pipelines for CareFirst Blue Cross Blue Shield, focusing on performance, reliability, and automation.

• Accelerated API and service performance by implementing Datadog end-to-end tracing and AI-powered insights, optimizing routing and load balancing.
• Automated deployment pipelines using Octopus, reducing deployment times by 50% and minimizing manual intervention.
• Boosted application reliability to 99.98% through advanced end-to-end observability and rapid rollback strategies, achieving near zero-downtime releases.
• Orchestrated multi-cloud migration (AWS, Azure, GCP) and scaling of servers and databases, driving a 35% system performance increase.
• Leveraged Datadog AIOps and predictive analytics to increase reliability and minimize high-priority incidents by 60%.

As a Senior Azure DevOps Engineer, I implemented comprehensive monitoring and automation solutions for Shell, optimizing cloud environments and enhancing operational efficiency.

• Implemented Datadog across multiple application servers and Docker containers to enhance monitoring capabilities.
• Led the successful migration of on-premise infrastructure and applications to Azure, enhancing cloud adoption.
• Automated Azure resource provisioning using Terraform templates and parameterized YAML pipelines in Azure DevOps.
• Set up AKS for container orchestration and developed CI/CD pipelines using Azure DevOps, achieving near zero-downtime deployments.
• Achieved over 99.9% uptime by automating redundant processes and establishing multi-region failover across Azure.

As a Senior DevOps Consultant at Capgemini, I delivered expert solutions for clients like CONA and AMFAM, focusing on Azure cloud security, CI/CD optimization, and application performance monitoring.

• Streamlined security implementation in Azure cloud environments and introduced best practices for remediation.
• Developed AppDynamics-driven incident response playbooks, enabling rapid resolution of critical issues.
• Managed end-to-end release cycles, including scheduling, status communication, and rollout plans, ensuring successful software deployments.
• Managed multi-region deployments with 99.99% uptime by optimizing server, infrastructure, and database architecture to handle traffic spikes.
• Automated database scaling and implemented optimizations, supporting 50% higher workloads without performance degradation.

As a Senior DevOps Engineer, I automated release pipelines and optimized CI/CD processes for Honey Well, ensuring efficient and conflict-free software delivery.

• Automated zero-touch release pipelines using Jenkins and Nexus, implementing Git branching and naming conventions for streamlined deployments.
• Designed and implemented a comprehensive CI/CD automation system, enhancing development lifecycle efficiency.
• Increased application reliability to 99.98% by automating deployment, monitoring, and scaling routines, proactively adjusting resources to meet demand.
• Reduced deployment windows by 70% and scaled infrastructure to accommodate 2x user sessions during peak loads without performance loss.
• Led legacy infrastructure migration, optimizing server allocation and database performance for enhanced scalability.

As a Software Engineer, I designed and implemented highly available Azure cloud solutions, focusing on IaaS, PaaS, and robust access control.

• Deployed highly available Azure IaaS VMs and PaaS services, implementing Availability Sets and Site Recovery for business continuity.
• Built highly available multi-region Azure application environments using CDN, Traffic Manager, App Services, and various Azure storage and database solutions.
• Configured Azure Role-Based Access Control (RBAC) to enforce least privilege principles and segregate duties within the team.
• Managed and troubleshot data migrations from on-premises to S3 buckets, configuring VPC networks and ELB in compliance with client policies.
• Engineered multi-region, highly available environments, ensuring 99.99% uptime and on-demand scaling of server and database resources.