Kafka Engineer
FractalBengaluru, Karnataka, India
Posted May 27, 2025
Full Time
About the Company
Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500® companies. Fractal's vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the world's most admired companies. Fractal's businesses include Crux Intelligence (AI driven business intelligence), Eugenie.ai (AI for sustainability), Asper.ai (AI for revenue growth management) and Senseforth.ai (conversational AI for sales and customer service). Fractal incubated Qure.ai, a leading player in healthcare AI for detecting Tuberculosis and Lung cancer. Fractal currently has 4000+ employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has been recognized as 'Great Workplace' and 'India's Best Workplaces for Women' in the top 100 (large) category by The Great Place to Work® Institute; featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research Inc., a leader in Analytics & AI Services Specialists Peak Matrix 2022 by Everest Group and recognized as an 'Honorable Vendor' in 2022 Magic Quadrant™ for data & analytics by Gartner Inc. For more information, visit fractal.ai
Job Description
We are looking for a skilled Kafka Engineer with hands-on experience in Confluent Platform to design, build, and maintain high-performance, real-time data streaming pipelines.
Requirements
- Design, build, and manage Kafka and Confluent infrastructure for high throughput streaming applications
- Implement Kafka Connect, Schema Registry, and KSQL (KSQLDB), FlinkSQL
- Ensure high availability, performance tuning, and monitoring of Kafka clusters
- Collaborate with data engineers and backend teams to integrate streaming pipelines with data lakes, warehouses.
- Set up and enforce Kafka security mechanisms (SASL, SSL, ACLs, RBAC)
- Create and manage CI/CD pipelines for Kafka components using tools like Git, Jenkins, etc.
- Monitor and troubleshoot issues using tools like Confluent Control Center, DataDog
Benefits
- Professional growth and development opportunities
- A positive and enthusiastic work environment
