Akshay Nimbalkar

• Led deployment automation to streamline application releases across multiple environments.
• Optimized cloud infrastructure on AWS, enhancing performance and reducing costs through resource management.
• Collaborated with development teams to troubleshoot and resolve deployment issues in real-time.

Cloud & Kubernetes Security & Operations:

• Designed and implemented AWS IAM Roles for Service Accounts (IRSA) for Kubernetes, migrating from vulnerable IAM key-based authentication to secure, role-based access, enhancing security compliance by 95% and eliminating credential exposure risks
• Managed and optimized AWS RDS instances with a focus on high availability, automated backups, performance tuning, and security hardening, improving database uptime
• Managed Apache Airflow infrastructure on Kubernetes for workflow orchestration, including DAG deployment, executor scaling, and monitoring integration
• Led production Kubernetes troubleshooting, diagnosing cluster, networking, and application-level issues.
• Implemented and enforced Kubernetes security best practices including Pod Security Standards, network policies, and secret management, passing internal security audits with zero critical findings

Monitoring & Observability:

• Architected and managed Prometheus and Grafana-based monitoring for microservices, enabling real-time visibility, alerting, and dashboards that reduced incident detection time by 60%
• Provided consultative pipeline recommendations to development teams, streamlining CI/CD processes and accelerating deployment frequency by 25%

Infrastructure as Code & Cloud Automation:

• Deployed AWS resources using Terraform, including EC2, Lambda, S3, IAM, and VPC components, enabling infrastructure reliability.
• Implemented Terraform structure for environment segregation (dev/prod), improving deployment consistency and reducing configuration drift.
• Managed DNS and domain configurations via Cloudflare Terraform provider, DNS record management, and CDN configurations for high-availability applications
• Designed and enforced IAM policies, roles, and users following the principle of least privilege, improving security posture and passing compliance audits
• Automated serverless workflows with AWS Lambda and S3 event triggers
• Configured AWS SNS for alerting and SES for email notifications integrated with monitoring systems, ensuring timely incident response and stakeholder communication

AI & Automation Initiatives:

• Spearheaded AI-driven internal tools to enhance developer and SRE productivity, including intelligent alert triage, log analysis, and automated remediation suggestions
• Led cross-functional AI projects focused on improving platform reliability and reducing operational toil through machine learning and LLM integration

• Engineered comprehensive CI/CD pipelines for containerized Veritas Infoscale on Kubernetes via Jenkins, increasing release frequency by 30% and reducing manual intervention by 50% through systematic automation
• Implemented infrastructure as code using Terraform and Ansible for OpenShift/Kubernetes deployments, reducing provisioning time by 90% and ensuring consistent environments across development, staging, and production
• Designed and deployed Azure Kubernetes Service (AKS) clusters for product qualification, implementing automated testing frameworks that reduced validation time by 70%
• Developed Python-based automation framework for InfoScale installation, test execution, and reporting, improving testing efficiency by 40%
• Led containerization strategy for enterprise applications on Kubernetes/OpenShift, improving scalability and resource utilization by 35%
• Implemented GitOps workflows for configuration management, ensuring version-controlled infrastructure and reducing configuration drift by 80%
• Orchestrated multi-cloud deployments across Azure and AWS, implementing disaster recovery strategies that improved system availability to 99.9%
• Mentored junior team members on DevOps best practices, SRE principles, and automation techniques, improving team productivity by 25%
• Collaborated with development teams to implement shift-left testing strategies, reducing post-deployment defects by 30%

Key Projects:

End-to-End CI/CD Pipeline for Kubernetes-Based Product Tools: Jenkins, Kubernetes, OpenShift, Terraform, Ansible, Python

• Architected complete CI/CD pipeline automating build, test, and deployment processes
• Achieved 90% reduction in manual deployment efforts and accelerated feedback cycles by 60%
• Implemented infrastructure as code using Terraform for OpenShift cluster provisioning

Multi-Cloud Kubernetes Orchestration Platform Tools: Azure AKS, AWS EKS, Terraform, Helm, Python

• Designed and deployed hybrid cloud Kubernetes infrastructure supporting multiple cloud providers
• Improved deployment consistency across environments and reduced provisioning errors by 75%
• Implemented automated scaling policies improving resource efficiency by 40%

OpenShift Infrastructure Automation Tools: Terraform, Ansible, VMware, KVM, Shell

• Automated OpenShift installation on VMware/KVM hypervisors using infrastructure as code
• Reduced cluster deployment time from days to hours and eliminated configuration variances
• Created reusable Terraform modules for enterprise-wide adoption