Must Have Technical/Functional Skills Java, Kafka & Streaming Roles & Responsibilities • Define enterprise-wide integration architecture, standards, and best practices. • Design scalable, resilient, and secure integration solutions using Java, Kafka, and streaming technologies. • Establish integration and messaging patterns for microservices, APIs, and event-driven systems. • Develop target-state architecture and roadmap for modernization initiatives. • Drive adoption of event-driven architecture (EDA) and real-time data integration frameworks. • Lead architecture and design discussions with business and technology stakeholders. • Design end-to-end integration solutions across cloud, on-premises, and hybrid platforms. • Create high-level and low-level design documents, architecture diagrams, and technical specifications. • Evaluate and recommend tools, frameworks, and technologies supporting business objectives. • Design enterprise Kafka architecture including: • Topics and partition strategies • Consumer groups • Replication and failover mechanisms • Schema Registry • Kafka Connect • Kafka Streams • Define standards for event modeling, event governance, and message schemas. • Architect real-time streaming solutions for high-volume and low-latency processing. • Ensure scalability, fault tolerance, disaster recovery, and operational excellence of Kafka platforms. • Establish monitoring and observability frameworks for streaming applications. • Define architectural standards for Java and Spring Boot-based applications. • Design microservices-based integration solutions leveraging Kafka and REST APIs. • Guide development teams in implementing loosely coupled and scalable services. • Establish coding standards, security practices, and architectural guardrails. • Drive API management and service lifecycle governance. • Architect integration solutions on cloud platforms such as: • AWS (MSK, ECS, EKS, Lambda, EventBridge, S3) • Azure (Event Hub, Service Bus, AKS) • Design containerized and Kubernetes-based deployment architectures. • Collaborate with Platform Engineering teams on infrastructure and automation strategies. • Support hybrid clo ud and multi-cloud integration initiatives. • Define CI/CD standards for integration and streaming platforms. • Promote Infrastructure as Code (Terraform, CloudFormation) and deployment automation. • Ensure observability using Splunk, Grafana, Prometheus, ELK, and other monitoring tools. • Drive operational excellence and Site Reliability Engineering (SRE) practices. • Java (8/11/17+) • Spring Boot, Spring Cloud • Apache Kafka • Kafka Streams • Kafka Connect • Confluent Platform • REST APIs & Microservices Salary Range- $110,000-$140,000 a year