Teradata is looking to hire Cloud Software Engineers to join our team. As we continue to build momentum as a hybrid cloud analytics provider, our Cloud Database team has a dedicated focus on extending our market-leading database to develop even stronger cloud capabilities.
We are looking for a self-driven Senior Cloud Software Engineer to join the team tasked to build Web Applications enabling the best possible developer, devops and data science experience as they integrate and interact with our new cloud-based data as a service.
Working with product management and business users, to translate requirements into production applications. Responsible for designing, implementing, and unit testing SaaS APIs leveraging agile and continuous delivery methodologies. Implementing and unit test user interface leveraging agile and continuous delivery methodologies. Perform functional and performance analysis of code defects and correction of defects. Contribute to all phases of the software development lifecycle by designing and implementing complex features for the product. Perform competitive analysis of other database management systems, other data integration solutions, and recommend Teradata cloud database changes to close competitive gaps or to enhance competitive advantages. Analyze requirements for complex feature development. Automate testing of the APIs. San Diego, El Segundo or Seattle. At this time, we would prefer candidates who aren’t in need of sponsorship.
Bachelor’s Degree in Computer Science, Software Engineering, or similar degree, or comparable work experience. 10+ years of experience developing software in Python, Java, and/or Go. 10+ years of experience with continuous integration, automated unit testing. 5+ years of building cloud RESTful APIs technologies. 5+ year of experience developing distributed web services.
Experience with application monitoring tools (Datadog, Splunk, New Relic, etc.). Familiarity with AWS or other public clouds and have built apps leveraging its offerings (S3, SNS/SQS, DynamoDB, EC2, Kinesis, Cloud Formations, etc.). Experience with Docker. Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
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