Cindy Soares

Cindy Soares

Senior Software Engineer @ TOTVS

About Cindy Soares

Cindy Soares is a Senior Software Engineer with extensive experience in software development and architecture. She has worked for various companies, including Bayer Crop Science and NextRoll, Inc., and currently holds a position at TOTVS Labs in North Carolina.

Work at TOTVS

Cindy Soares has been employed at TOTVS Labs as a Senior Software Engineer since 2021. In this role, she focuses on developing software solutions and implementing best practices in software engineering. Her responsibilities include designing and optimizing code architecture, as well as ensuring the performance of high-volume data processing systems.

Previous Experience in Software Engineering

Cindy Soares has a diverse background in software engineering, having worked in various roles across multiple companies. She served as a Senior Software Engineer at Bayer Crop Science for nine months in São Paulo, Brazil, and at NextRoll, Inc. for two years in the San Francisco Bay Area. Additionally, she held positions at Atos Origin and BRQ as a Software Architect, and at Accenture as a Senior Java Developer.

Education and Expertise

Cindy Soares studied at Universidade Federal do Rio de Janeiro, where she earned a Bachelor's degree in Computer Science from 1999 to 2005. She possesses extensive experience with AWS services, including S3, EC2, RDS, and Lambda. Her expertise includes implementing agile techniques, developing test suites, and specializing in code architecture solutions and test automation strategies.

Volunteer Work and Community Involvement

Cindy has contributed to the tech community through her volunteer work at Women Who Code, where she served as a Software Engineer for two months in 2017. This involvement reflects her commitment to supporting and empowering women in technology.

Technical Skills and Specializations

Cindy Soares specializes in code architecture solutions, code improvements, and Java code performance analysis. She has developed skills in selecting appropriate programming languages and tools for high-performance systems that handle large volumes of data. Her strong background in agile methodologies further enhances her ability to deliver effective software solutions.

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