Introduction
A career in IBM Software means you'll be part of a team that transforms our customer's challenges into solutions.
Seeking new possibilities and always staying curious, we are a team dedicated to creating the world's leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.
IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
Your Role And Responsibilities
Seeking an experienced software engineer to develop highly visible and widely used tools, drivers and data integration products in the AstraDB, Apache Cassandra and DataStax Enterprise ecosystem. In this role, you will join a small team of talented engineers developing products that help developers succeed in efficiently delivering business value in high-scale applications. You will take ownership of projects and must be willing to jump in to help customers.
What You Will Do
- Participate in design and development of connectivity and data integration projects, including CQL drivers and analytics libraries for data pipelines (such as Cassandra Analytics)
- Integration work involving AstraDB, DSE, Apache Cassandra, and other big data technologies, such as Apache Spark
- Resolve challenging and diverse customer issues
- Foster the development community surrounding both proprietary, and open source products
- As a team, own both development and quality aspects for all products
- Research and implement improvements of the product as well as the development infrastructure
- Perform regular code reviews
- Maintain product documentation, white papers, and educational materials
- Write technical blog posts relating to our technologies
- Ongoing education around relevant technologies
Preferred Education
Master's Degree
Required Technical And Professional Expertise
- 4+ years of experience in software engineering
- Deep Expertise in at least one of the high-level, multi-paradigm languages with a preference for Java, Go, and/or Python
- Experience with any distributed database (such as DataStax Enterprise, Apache Cassandra, Amazon DynamoDB, Azure CosmosDB, or other cloud native database products)
- Command of asynchronous and concurrent programming concepts
- Knowledge of high-performance, low-latency network programming
- Being comfortable working with and contributing to open-source projects
Preferred Technical And Professional Experience
- Familiarity with creating and running containerized applications
- Experience with cloud environments for build and deployment
- Experience with large scale data processing pipelines, such as Apache Spark
- Familiarity with cloud-native technologies (e.g. Kubernetes) and object storage systems (e.g., AWS S3, GCP GCS, Azure Blob)
- Effective technical experience with Git and GitHub
- Experience with Jenkins, GitHub Actions or other CI/CD systems
- Proven ability to collaborate well in a globally distributed team environment
