Pawan Yadav

• Spearheaded migration of 100+ microservices and supporting infrastructure from Google Cloud Platform (GCP) to on-premises Kubernetes platform, enhancing infrastructure control and minimizing cloud dependency.
• Architected and implemented highly available Kubernetes cluster with 3 control-plane nodes and 4 worker nodes for production workloads.
• Established bare-metal load balancing framework leveraging HAProxy and MetalLB, promoting consistent external traffic management for Kubernetes services.
• Implemented and directed Mikrotik firewall infrastructure to protect internal and external network communication throughout production environments.
• Configured and activated Kong API gateway (public and private gateways) ensuring optimal API routing, robust authentication, and safeguarded service exposure.
• Developed centralized observability platform utilizing Prometheus, Grafana, and Loki to facilitate real-time monitoring, log aggregation, and operational dashboards for infrastructure and applications.
• Constructed and managed GitLab CI/CD pipelines in conjunction with Argo CD, enabling automated build deployments and GitOps-oriented continuous delivery processes.
• Managed containerized infrastructure encompassing databases and messaging systems such as PostgreSQL, Redis, RabbitMQ, and Qdrant, ensuring high availability and persistent storage.
• Managed TLS/SSL certificates, DNS settings, and ingress routing for internal as well as external applications.
• Coordinated with developers to execute application containerization and resolve deployment concerns.

• Led the design and scaling of AWS infrastructure using Terraform and Pulumi, developing 15+ reusable IaC modules adopted across multiple microservices projects.

• Managed Kubernetes (EKS) clusters with 300–400 nodes and ECS workloads supporting high-traffic platforms, maintaining 99.9% uptime.

• Owned and optimized CI/CD pipelines (Jenkins, GitLab CI, Buildkite), reducing deployment time by approximately 40% and enabling reliable, automated releases.

• Implemented centralized monitoring and observability using Dynatrace, Prometheus, and Grafana, improving incident detection by approximately 30% and reducing operational costs by approximately 15%.

• Mentored 3–5 engineers and conducted IaC and CI/CD reviews, enforcing best practices in security (IAM, WAF), and deployment standards.

• Designed and delivered an end-to-end live streaming solution using AWS MediaLive, MediaTailor, Lambda, and DynamoDB, supporting scalable, concurrent streams.

• Developed a Python-based cloud security auditing tool that scans 30+ AWS resources per account, with automated remediation recommendations.

• Contributed reusable Terraform modules to shared repositories, enabling standardized and version-controlled infrastructure provisioning.

• Optimized cloud resource utilization through cost analysis and configuration improvements.

• Maintained and enhanced monitoring systems to ensure application and infrastructure reliability.

• Built cloud infrastructure from scratch using Terraform, Pulumi (Python), and CloudFormation for more than 5 production projects.

• Developed and maintained CI/CD pipelines using Jenkins, enabling automated deployment of 20+ microservices and serverless workloads on AWS (ECS, EKS, Lambda).

Automated IAM role provisioning and operational workflows using Python, reducing manual effort by approximately 50%, and improving service onboarding speed.

Implemented monitoring and observability using Dynatrace, Prometheus, and Grafana, enabling real-time insights and proactive incident management.

• Collaborated with cross-functional teams to support high-volume data platforms and API workloads using MongoDB, Cassandra, RDS, and Redshift.

• Supported large-scale client deployments, including: – OTT Platform: Managed EKS clusters, optimized CI/CD pipelines, and reduced infrastructure costs by approximately 20%. – Gaming and Betting Platform: Built serverless data pipelines using AWS Lambda and ECS, and automated IAM role management across environments.

• Improved deployment efficiency and release consistency through CI/CD automation and process optimization.