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Job DescriptionYour role and responsibilities
DataStax is now part of IBM! We are looking for talented software engineers to take on a critical role of adding OpenSearch capability on our Cloud and On-Premises AI PaaS. Even more exciting is that you will be working with and contributing back to Open Search projects similar to how we do with other open source projects such as Apache Cassandra and Apache Pulsar. Our aim is to build a one stop AI PaaS powered by capabilities of Langflow, Open Search and Apache Cassandra. This is a hybrid role for San Jose, CA location.
What you will do:
- Develop new features, enhancements, and bug-fixes on DataStax AI PaaS, powered by Open Search, Apache Cassandra and Langflow
- Find innovative ways to do a bi-directional integration between Open Search and Apache Cassandra.
- Collaborate extensively with internal teams and open source communities to innovate at speed.
- Model solid engineering practices around architectural design, testability, scalability and maintainability.
- Foster community growth through your involvement in the Open Search community.
Required technical and professional expertise
- Minimum of 7-9 years of relevant industry experience in Software Engineering
- Ability to iterate fast and make a tradeoff between quality and speed of delivery.
- Substantial experience programming distributed and high throughput applications
- A deep knowledge of Java and JVM ecosystem of open source libraries and projects
- Deep understanding of algorithms, data structures and software design
- Strong coding skills with Java. Familiarity with Python and Golang will be an advantage.
- Comfortable handing problems related to concurrency and distributed computing
- Experience with at least one major public cloud providers
Preferred technical and professional experience
- Prior experience contributing to open source projects including but not limited to Open Search and ElasticSearch is highly desirable
- Experience with Go, Docker, and Kubernetes a plus
ABOUT BUSINESS UNIT
IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
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The open stack for #realtimedata applications.
? Mobilize all real-time data on a single, unified stack.
? Build smarter applications, faster with developer-ready tools, APIs, and a pay-as-you-go serverless architecture.
? Scale without limits on an open, cloud-native architecture.
