Ayush Tiwari

Dynamic DevOps Engineering Lead with a strong track record of managing large-scale SaaS platforms in cloud environments. Expertise in Kubernetes and Terraform to build resilient, scalable infrastructure. Adept at driving CI/CD automation, implementing service mesh solutions, and optimizing cloud resources for enhanced performance and cost efficiency. Passionate about fostering cross-functional collaboration, leading on-call operations, and mentoring teams to deliver robust, secure, and high-quality solutions that meet evolving business needs.

• Reduced cloud costs by 30% by implementing resource optimization strategies, including right-sizing and event-driven automation to ensure efficient resource utilization and uptime
• Enhanced Terraform modules, driving modularity and reusability, which improved development efficiency across teams
• Improving operational readiness and inculcating AWS Well Architected design principles to GenAI based MVP to cater to multi-tenancy scaling and data isolation requirements

• Managed infrastructure platforms for multiple SaaS solutions spread across 25+ AWS accounts, 100+ EKS clusters, 600+ ECS clusters, and 1500+ EC2 and Fargate nodes
• Designed robust operational CI/CD pipelines for infrastructure creation, infrastructure patching, and upgrades on AWS with Terraform along with observability integration with OSS tools like Prometheus, Grafana, Promtail, Loki as well as managed platforms like Datadog
• Designed Internal Developer Platform using Kubernetes (EKS) and Terraform (Terraform Cloud) for Python and Node applications, simplifying the development process while adhering to security and scalability standards
• Implemented an in-house solution for maximizing GPU utilization through the use of HPA, leveraging DCGM exporter, and Prometheus Adapter
• Implementing event based auto-scaling for EKS cluster nodes leveraging Karpenter along with KEDA and HPA's
• Designed and implemented RBAC configuration for EKS clusters to provide fine grained access to multiple teams across organization. Leveraged Azure EntraID and AWS IAM
• Developed re-usable Infrastructure as Code (IaC) modules in Terraform for uniform AWS resource provisioning at scale
• Improved overall security posture of all applications by baking SAST and DAST tools in CI/CD pipeline like Wiz, SonarQube, BlackDuck and Veracode and integrated Sysdig Falco to improve runtime protection for container based apps

• Designed CI/CD for various applications including Python Django, Node, Angular and JAVA utilizing AWS CodePipelines, GitHub Actions, and Jenkins
• Managed orchestration of micro-service architectures using Docker Compose and Kubernetes
• Enhanced Docker and Kubernetes clusters for adherence to security best practices while managing them on AWS ECS, AWS EKS
• Designed automated infrastructure deployment through the design of CloudFormation and Terraform templates
• Designed CI/CD solution for Serverless applications utilizing SAM templates with API Gateway and Lambda
• Reduced latency between services, end-users and optimized billing costs for AWS and Azure clouds
• Worked on migration of multiple applications from AWS to Azure, On-prem to AWS and On-Prem to Azure

• Implemented migration to cloud services for a MES domain client from on-prem architecture
• Implemented Blue-Green deployment strategy to avoid application downtime during updates on critical workflows
• Created visualization for web server access data over Kibana and established a data pipeline with ELK stack
• Prepared log streams in CloudWatch for backend services and performed Linux Administration for EC2 fleet
• Prepared Ansible playbooks to facilitate patching for VM fleet

Container Orchestration

Cloud Platforms

CI/CD & Automation

Operating Systems & Scripting

Monitoring & Logging

Led the architecture design and implementation of revamped IDP to shift compute from Linux based VM's to Kubernetes, providing developers with better agility and more modularity. Major requirements facilitated by this platform were development/testing velocity, uniformity, scalability, reduced operational overhead, better compliance and governance, cloud agnostic

Developed comprehensive Terraform modules for provisioning consistent AWS environments. Reduced infrastructure deployment time from days to hours while ensuring security compliance and best practices.

Implemented a GitOps workflow using ArgoCD and BitBucket, enabling continuous deployment to Kubernetes clusters. Enhanced developer productivity by automating the release process from commit to production.