Summary
✨ AI‑Generated
A senior engineering role focused on building scalable software for real-time data processing and analytics. The position involves designing modern cloud-based solutions, collaborating across teams, and solving complex technical challenges.
Highlights
Opportunity to build large-scale software solutions using modern cloud technologies, collaborate with diverse engineering teams, and work on impactful data-driven systems.
Description
Introduction
At IBM Software, we transform client challenges into solutions.
Building the world’s leading AI-powered, cloud-native products that shape the future of business and society.
Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale.
Working in Software means joining a team fueled by curiosity and collaboration.
You’ll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation.
With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape.
Here, you’ll have the tools and opportunities to advance your career while creating software that changes the world.
With Confluent, data doesn’t sit still.
We put information in motion, streaming in near real time so organizations can react faster, build smarter, and deliver experiences as dynamic as the world around them.
Your Role And Responsibilities
About the Role:
The Stream Processing & Analytics (SPA) team is building an elastic, reliable, durable, cost-effective, and performant stream processing engine based on Apache Flink for Confluent Cloud.
This role is critical for enabling our customers to build custom functions and apps in Confluent Cloud, extending the stream processing engine to meet the specific needs of their use-cases no matter how complex.
You will champion a best-in-class SDLC and high-performance cloud-scale runtime for users who build custom pipeline logic in Java or Python and want to leverage the power of managed stream processing on Confluent Cloud without sacrificing best-practices from their typical workflows.
What You Will Do
Work on Flink user-defined functions to provide a great experience for customers with sophisticated use-casesPlay a crucial role in designing, developing and operationalizing critical user-facing interfaces as well as the backing cloud infrastructureCollaborate with the Apache Flink community to establish standards and improve open source foundationsIndependently drive execution of software projects to deliver complex projects in production with a focus on quality.Evaluate and enhance the efficiency of our platform's technology stack, keeping pace with industry trends and adopting state-of-the-art solutionsAs a vital member of our team, take responsibility for developing, managing, and maintaining a mission-critical service with a 99.99 SLA running on 88+ AWS, GCP, and Azure regionsEnhance the stability, performance, scalability, and operational excellence across multiple critical systems
Preferred Education
Master's Degree
Required Technical And Professional Expertise
What You Will Bring:
BS, MS, or PhD in computer science or a related field, or equivalent work experience4+ years of relevant stream processing experienceStrong fundamentals in distributed systems design and developmentExperience running production services in the cloud and being part of oncall rotationA self-starter with the ability to work effectively in teamsProficiency in Java, and comfortable working with Go and Python
Preferred Technical And Professional Experience
What Gives You an Edge:
A strong background in distributed storage systems or databasesExperience/knowledge with public clouds (AWS, Azure, or GCP) and Kubernetes operatorsContributions to open-source projects, especially in Flink or the stream processing area
