Sudha Daddala

Sudha Daddala

Dev Ops Engineer @ SILA

About Sudha Daddala

Sudha Daddala is a DevOps Engineer with five years of experience at Sila in Portland, Oregon. She specializes in cloud automation using AWS, security management, and continuous integration processes.

Work at SILA

Sudha Daddala has been employed at Sila as a DevOps Engineer since 2019. In this role, she has focused on cloud automation and deployment processes. Her responsibilities include utilizing AWS CloudFormation templates to streamline the deployment of cloud resources. She also implements security measures by managing custom users and groups through the Amazon IAM console. Daddala's work contributes to the overall efficiency and security of cloud operations at Sila, located in Portland, Oregon.

Education and Expertise

Sudha Daddala holds a Master's degree in Computer Science from Southern Arkansas University. Prior to this, she earned a Bachelor's degree in Civil Engineering from JNTUK, completing her studies from 2010 to 2014. Her educational background provides her with a strong foundation in both technical and analytical skills, which she applies in her current role as a DevOps Engineer.

Background

Before joining Sila, Sudha Daddala worked as an Entry Level DevOps Engineer at SRK Systems Inc for two months in 2018. This position allowed her to gain initial experience in the field of DevOps, contributing to her skill development and understanding of cloud technologies. Her career trajectory reflects a commitment to advancing her expertise in cloud computing and automation.

Technical Skills and Contributions

Sudha Daddala has demonstrated proficiency in designing cost-effective and highly available systems on AWS. She has experience setting up security groups, Elastic Load Balancers, AMIs, and Auto Scaling. Additionally, she has automated the deployment process of Tomcat application servers using Chef, which enhances the efficiency of environment replication. Daddala has also configured Jenkins to support continuous integration processes, integrating it with Ant and Maven, and optimizing project implementation through the installation of multiple Jenkins plugins.

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