Pawan Yadav

DevOps Engineer

Noida, Uttar Pradesh, India4 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in optimizing cloud infrastructure and DevOps processes.
Proven track record in managing large-scale Kubernetes clusters.
Certified AWS Solutions Architect and Google Cloud Engineer.

Stackforce AI infers this person is a Cloud Infrastructure and DevOps specialist with a focus on automation and scalability.

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Skills

Core Skills

DevopsCloud

Other Skills

AWS (ECS, EKS, API Gateway)AWS (EKS)AWS API GatewayAWS LambdaAmazon ECSAmazon EKSAmazon Web Services (AWS)AnsibleBashC (Programming Language)C++CI/CDCommunicationContinuous Integration and Continuous Delivery (CI/CD)Database Management System (DBMS)

About

🌟 Crafting tomorrow's tech today! I’m an enthusiastic DevOps Engineer, leveraging cloud technologies to streamline operations. Curious about my work? Read on! 🚀 With over three years of hands-on experience, my career as a DevOps Engineer has been driven by my passion for optimizing software processes through automation and cloud infrastructure solutions. My toolkit includes AWS, GCP, Docker 🐳, Kubernetes, and more, ensuring robust, scalable, and efficient systems. Certified in AWS Solutions Architect and Google Cloud Engineering, I not only design systems but ensure they're secure and cost-effective. 🛡️ My work—spanning from setting up full-scale CI/CD pipelines using Jenkins and Buildkite to managing infrastructure as code via Terraform—focuses on delivering quality and reducing time-to-market. I thrive in environments that challenge me to learn and grow. My approach? Simple: Keep IT environments bulletproof yet flexible, with a dash of Python coding when needed! 🐍 Are you passionate about innovative cloud solutions? Let’s connect! 🌐

Experience

To the new

3 roles

Senior DevOps Engineer

Promoted

Oct 2025 – Present · 5 mos · Noida, Uttar Pradesh, India

DevOps Engineer

Aug 2022 – Oct 2025 · 3 yrs 2 mos · Noida, Uttar Pradesh, India

Led the orchestration and management of large-scale Kubernetes (EKS) clusters, overseeing 300–400 nodes and 200+ microservices, ensuring high availability, scalability, and efficient resource utilization.
Deployed and managed containerized applications using AWS ECS and EKS, optimizing deployment pipelines for high throughput environments.
Engineered and maintained CI/CD pipelines using Jenkins, enabling automated testing, secure deployment, and rapid release cycles across multiple environments.
Developed infrastructure-as-code using Terraform; authored reusable, production-ready modules published on GitHub and used organization-wide.
Upgraded Kong API Gateway from v2.x to v3.x, ensuring seamless migration, zero downtime, and compatibility across services.
Integrated AWS API Gateway and Kong for secure and scalable API management.
Automated routine DevOps tasks and infrastructure operations using Python and Bash scripts, reducing manual overhead and improving efficiency.
Implemented comprehensive infrastructure and application monitoring solutions using Dynatrace, Prometheus, and Grafana, significantly reducing incident response times.
Collaborated with cross-functional teams to implement best practices in observability, deployment, and system resilience.
Tools & Technologies:
AWS (ECS, EKS, API Gateway), Kubernetes, Jenkins, Terraform, Kong, Python, Bash, Dynatrace, Grafana, Prometheus, GitHub, CI/CD