Software Engineer I

SummaryGuidewire is searching for a unique individual who is ambitious, curious, and hungry for a rare chance to transform a 500-year-old industry from the inside out. Through our data listening capabilities, we collect more data (and more important data) than any other company in our market. We seek ways to make sense of it, showcase it, and transform it into insight that feeds billions of decision points every year across pricing, portfolio management, underwriting, claims management, and risk transfer.At Guidewire, we offer a combination of good working conditions, an excellent market opportunity, a rational and meritocratic company culture, quality software products, and a long history of careful hiring have allowed us to create an enviable work environment.Guidewire Analytics helps insurers and other financial institutions to model new and evolving risks such as cyber. By combining internet-scale data listening, adaptive machine learning, and insurance risk modeling, Guidewire Analytics insights help P&C customers face new risks, take advantage of new opportunities and develop new products.ResponsibilitiesJob DescriptionDevelopment:Develop robust, scalable, and efficient data pipelines.Manage platform solutions to support data engineering needs to ensure seamless integration and performance.Write clean, efficient, and maintainable code.Data Management and Optimization:Ensure data quality, integrity, and security across all data pipelines.Optimize data processing workflows for performance and cost-efficiency.Develop and maintain comprehensive documentation for data pipelines and related processes.Innovation and Continuous Improvement:Stay current with emerging technologies and industry trends in big data and cloud computing.Propose and implement innovative solutions to improve data processing and analytics capabilities.Continuously evaluate and improve existing data infrastructure and processes.At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field.2+ years of experience in software engineering with a focus on data engineering and building data platformStrong programming experience using Python or Java.Experience of the Big data technologies like Apache Spark, Amazon EMR, Apache Iceberg, Amazon Redshift, etc or Similar technologiesExperience in RDBMS(Postgres, MySql, etc) and NoSQL(MongoDB, DynamoDB, etc) databaseExperience in AWS cloud services (e.g., Lambda, S3, Athena, Glue) or comparable cloud technologies.Experience in CI/CD.Experience working in Event driven and Serverless ArchitectureExperience with platform solutions and containerization technologies (e.g., Docker, Kubernetes).Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.Strong communication skills, both written and verbal.Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement.About GuidewireGuidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.