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Tier-1 bank, common mid-level backend/data role, metro location and broad skills drive high competition.
Core backend and data platform skills are transferable across industries, giving moderate bias.
Explicit 5–7 years and many mandatory stack requirements make filtering stringent.
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Design, develop, and optimize scalable Java 8 Spring Boot microservices and RESTful APIs supporting high-volume enterprise applications.
Develop and maintain data pipelines including Kafka-based real-time processing, Spark ETL, and batch/streaming workloads within Hadoop/Databricks ecosystems.
Deploy and manage applications on Kubernetes/OpenShift and implement observability using Grafana and Splunk ensuring system performance, reliability, and security.
5–7 years of backend development experience.
Strong proficiency in Java 8 and Spring Boot microservices architecture.
Experience with Kafka event-driven systems, Spark or similar large-scale data processing frameworks, and container platforms like Kubernetes or OpenShift.
Location requirement: Chennai, India.
Mid-level backend engineer skilled in microservices development with operational experience in Java 8 and Spring Boot.
Experienced in building robust real-time data pipelines and distributed data ecosystems including Kafka and Spark within cloud-compatible environments.
Comfortable managing deployments and observability in containerized environments (Kubernetes/OpenShift) integrated with enterprise data platforms such as Hadoop or Databricks.