Senior Kafka Confluent Engineer

at  Epam Systems

If you have proven experience with Kafka & Confluent, you will be a great fit for this role! We are seeking a Senior Data DevOps Engineer skilled in gathering user requirements, developing and operating Kafka & Confluent, setting up monitoring systems, managing lifecycle and CI/CD pipelines, and maintaining instance operations.

WHY EPAM

• By choosing EPAM, you’re getting a job at Glassdoor’s Top 100 Best Places to Work in 2023 & one of Most Loved Workplace, as recognized by Newsweek, 2021-2023
• Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters
• You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices
• We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey
• At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us

• User Requirement Gathering:Collect user requirements to create Kafka & Confluent on Kubernetes platform as a managed service
• DevSecOps Performance: Perform development, security and operations activities for Kafka & Confluent as a managed service
• Feature Configuration: Ensure features like high availability, performance, back-up, restore, security, reliability, scalability are built into Kafka & Confluent for easy operations
• Non-Functional Aspect Definition: Define and test non-functional aspects, along with scalability and security aspects
• Monitoring Setup: Configure necessary monitoring, alerting and tracking setup for Kafka & Confluent using tools such as Prometheus, Grafana, & ELK stack
• Service Consumption Management: Outline the process for end-users to access and utilize the Kafka & Confluent managed service including CI/CD deployments, training materials, documentation, user guides, and standard operating procedures
• Instance Operation & Maintenance: Oversee the operational activities of Kafka & Confluent instances created by users, including service and security monitoring, incident management, troubleshooting, upgrading, and patch management
• Maintenance Response: Oversee the operational activities of Kafka & Confluent instances created by users, including service and security monitoring, incident management, troubleshooting, upgrading, and patch management
• Lifecycle Management: Handle lifecycle management, implement patches and perform version upgrades
• CI/CD Pipeline Management: Manage the creation and maintenance of CI/CD pipelines