Streaming Architecture: Design, implement, and manage Kafka-based real-time streaming solutions capable of handling high-throughput and low-latency environments. • Cluster Management: Perform Kafka cluster setup, configuration, tuning, and performance optimization to ensure high availability and disaster recovery. • Pipeline Development: Build and manage streaming data pipelines utilizing Kafka ecosystem components (Kafka Connect, ksqlDB, Schema Registry) to process large datasets. • Cloud & Infrastructure: Work with cloud-native applications, automate infrastructure deployment using Infrastructure-as-Code (IaC) tools (e.g., Terraform), and apply GitOps practices. • System Reliability: Ensure system fault tolerance, scalability, and robust security protocols (SSL/mTLS, SASL, ACLs).
Streaming Architecture: Design, implement, and manage Kafka-based real-time streaming solutions capable of handling high-throughput and low-latency environments. • Cluster Management: Perform Kafka cluster setup, configuration, tuning, and performance optimization to ensure high availability and disaster recovery. • Pipeline Development: Build and manage streaming data pipelines utilizing Kafka ecosystem components (Kafka Connect, ksqlDB, Schema Registry) to process large datasets. • Cloud & Infrastructure: Work with cloud-native applications, automate infrastructure deployment using Infrastructure-as-Code (IaC) tools (e.g., Terraform), and apply GitOps practices. • System Reliability: Ensure system fault tolerance, scalability, and robust security protocols (SSL/mTLS, SASL, ACLs).
Streaming Architecture: Design, implement, and manage Kafka-based real-time streaming solutions capable of handling high-throughput and low-latency environments. • Cluster Management: Perform Kafka cluster setup, configuration, tuning, and performance optimization to ensure high availability and disaster recovery. • Pipeline Development: Build and manage streaming data pipelines utilizing Kafka ecosystem components (Kafka Connect, ksqlDB, Schema Registry) to process large datasets. • Cloud & Infrastructure: Work with cloud-native applications, automate infrastructure deployment using Infrastructure-as-Code (IaC) tools (e.g., Terraform), and apply GitOps practices. • System Reliability: Ensure system fault tolerance, scalability, and robust security protocols (SSL/mTLS, SASL, ACLs).
Streaming Architecture: Design, implement, and manage Kafka-based real-time streaming solutions capable of handling high-throughput and low-latency environments. • Cluster Management: Perform Kafka cluster setup, configuration, tuning, and performance optimization to ensure high availability and disaster recovery. • Pipeline Development: Build and manage streaming data pipelines utilizing Kafka ecosystem components (Kafka Connect, ksqlDB, Schema Registry) to process large datasets. • Cloud & Infrastructure: Work with cloud-native applications, automate infrastructure deployment using Infrastructure-as-Code (IaC) tools (e.g., Terraform), and apply GitOps practices. • System Reliability: Ensure system fault tolerance, scalability, and robust security protocols (SSL/mTLS, SASL, ACLs).
HCLTech is a global technology company, home to more than 226,600 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2025 totaled $14.2 billion. To learn how we can supercharge progress for you, visit hcltech.com.
