Technology Engineer - Kafka & Streaming Platform

Location: Chennai, Tamil Nadu, India

Workplace: on_site

Description

We are looking for a highly skilled Technology Engineer with strong expertise in streaming data platforms and cloud-native technologies. The ideal candidate will have hands-on experience with Kafka, CI/CD pipelines, and cloud environments, and will play a critical role in building scalable, event-driven data systems.

Requirements

Key Responsibilities

• Design, implement, and manage high-throughput Kafka clusters in production environments
• Build and maintain event-driven and streaming data architectures
• Develop and manage CI/CD pipelines using tools like Jenkins, ArgoCD, and GitOps practices
• Work on cloud-native applications across AWS, Azure, or OCI
• Automate infrastructure and deployment processes using modern cloud automation tools
• Collaborate with cross-functional teams to deliver scalable and resilient data solutions
• Ensure best practices in code quality, testing, and deployment automation
• Implement design patterns for scalable and maintainable systems
• Perform unit testing and integration testing for robust application delivery

Required Skills & Experience

• Strong experience in Apache Kafka setup, configuration, and performance tuning in high-volume environments
• Proficiency in Git (source control) and CI/CD tools like Jenkins, ArgoCD
• Hands-on experience with public cloud platforms (AWS / Azure / OCI)
• Experience working with large-scale streaming datasets
• Good understanding of event-driven architecture and microservices
• Exposure to GitOps practices and DevOps culture
• Experience with cloud automation tools
• Strong knowledge of software design patterns and system design principles
• Experience in automated testing (unit & integration testing)

Preferred Qualifications

• Experience with OpenShift / Kubernetes platforms
• Familiarity with real-time streaming frameworks and data pipelines
• Prior experience in banking or financial services domain (preferred but not mandatory)