Open to opportunities

Naga Pradeep Ch

@nagapradeepch

Message

DevOps Engineer with 6+ years of experience

India

Message

What I'm looking for

Looking for a challenging role that leverages my DevOps expertise to drive automation, efficiency, and innovation.

As a seasoned DevOps Engineer with over 6 years of experience, I have developed a strong expertise in designing and implementing automation processes, multi-cloud architectures, and CI/CD pipelines. My proficiency in scripting languages like Python and Bash has enabled me to create and manage Infrastructure as Code (IAC), container orchestration, and monitoring solutions.

Throughout my career, I have successfully collaborated with cross-functional teams to ensure the successful deployment and operation of applications. My experience in leading teams and mentoring junior engineers has honed my skills in leadership and communication.

I am passionate about staying up-to-date with the latest trends and technologies in the DevOps space, and I am excited to bring my skills and expertise to a new challenge.

Experience

Work history, roles, and key accomplishments

Current

DevOps Engineer

Current

Sprinklr

May 2022 - Present (3 years)

Led cross-functional team overseeing Kubernetes infrastructure across AWS, AZURE, GCP. Managed and updated internal and external certificates across multiple platforms.

Terraform CloudFormation Python Kubernetes Helm Jenkins Docker EKS AKS GKE ECS Linkerd Prometheus ELK Sensu Maven Git GitHub Ansible Zabbix Jira

Senior Operations Engineer

Github

Jun 2021 - Mar 2022 (9 months)

Automated upgrades for 80+ Kubernetes clusters using Jenkins and bash, cutting activity time by over 50% with zero downtime, supporting EKS, AKS, and GKE.

Terraform CloudFormation Python BASH Kubernetes Helm Jenkins Docker EKS AKS GKE ECS Linkerd Prometheus ELK Sensu Maven Git GitHub Ansible Zabbix Jira

Operations Engineer

Infracloudio

Aug 2019 - Jun 2021 (1 year 10 months)

Built AWS cloud integration module which will use AWS API Key, Access key and CLI commands to poll for cloud watch metrics and display in a custom dashboard.