We are seeking a Mid-Level Java Microservices & Data Platform Engineer to support a strategic GenAI-driven modernization initiative focused on enhancing the Banzai producer experience. This role will play a critical part in designing, developing, and optimizing scalable backend systems and real-time data pipelines.
The ideal candidate brings robust experience in Java, Spring Boot, and microservices architecture, along with exposure to distributed data platforms and modern cloud-native technologies.
Key Responsibilities:
- Design and develop scalable microservices using Java 8 and Spring Boot
- Build and maintain RESTful APIs supporting high-volume enterprise applications
- Develop and optimize data pipelines for batch and streaming workloads
- Enhance Kafka-based real-time data processing systems
- Contribute to Spark-based ETL processes and data transformation pipelines
- Implement observability solutions using tools like Grafana and Splunk
- Deploy and manage applications on Kubernetes/OpenShift environments
- Ensure system performance, reliability, and security through best practices




- Collaborate with cross-functional teams to integrate systems with Hadoop/Databricks ecosystems
Required Skills & Qualifications:
- 5–7 years of experience in backend development
- Strong proficiency in Java 8 and Spring Boot microservices
- Experience with REST API development and integration
- Knowledge of Kafka and event-driven architectures
- Exposure to Spark or large-scale data processing frameworks
- Experience with container platforms (Kubernetes/OpenShift)
- Familiarity with monitoring tools (Grafana, Splunk)
- Understanding of CI/CD and version control tools (Git, Bitbucket)
Preferred Qualifications:
- Experience in enterprise data platforms
- Exposure to cloud-native architectures and data lake environments (Databricks/Hadoop)
- Experience in secure application development and authentication mechanisms
Location: Chennai, India
Experience Level: Mid-Level (5–7 years)
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📌 Mid-Level Java Microservices (India)
🏢 Citi
📍 India