Technology Architect | Java | Apache

Job title: Sr Kafka/Flink Developer Work Location: Preferable Phoenix but other US locations can be checked. Vendor Rate: 82.20 USD per hour Minimum years of experience: 8 to 10 years Would you require the candidates to meet you for in person interview? No Is Skype/WebEx interview,OK? Yes Is this onsite/remote position: Onsite If onsite, will you be considering relocation candidates: Yes Section B: Job Description: We are seeking an experienced Lead Kafka/Flink Developer to design, build, and support scalable enterprise and cloud-native applications. The ideal candidate will have strong expertise in Java, Apache/Confluent Kafka, Apache Flink, Spring Boot, microservices, AWS, and DevOps, with a proven ability to build event-driven platforms and real-time streaming applications that reduce latency and improve engineering productivity Required Qualifications Hands-on experience building and supporting real-time and batch data processing solutions using Apache Kafka, Apache Flink, and related event-driven technologies. Proven experience maintaining real-time streaming applications in production environments. Experience with development of large-scale data processing systems and big data technologies. Strong expertise in Java 8–17, Spring Boot, Spring Cloud, REST APIs, microservices, and distributed systems. Experience with AWS, Docker, Kubernetes, CI/CD pipelines, and cloud-native architecture principles. Strong knowledge of databases and persistence technologies, including Oracle, PostgreSQL, MongoDB, and Hibernate/JPA. Excellent problem-solving, technical leadership, collaboration, and communication skills, with the ability to work effectively in a team environment. Key Responsibilities Build and optimize real-time and batch data processing solutions using technologies such as Apache Kafka, Apache Flink, and related event-driven technologies. Designing and implementing scalable real-time stream processing solutions. Building control plane services and orchestrating distributed Flink platforms. Optimizing pipeline performance, debugging latency bottlenecks, and creating benchmarks. Lead the design, development, and delivery of enterprise-grade applications using Java, Spring Boot, and microservices architecture. Build and support cloud-native applications and APIs using AWS, Docker, Kubernetes, and modern DevOps practices. Collaborating across product and engineering teams to support cloud-based, multi-region deployments. Troubleshoot complex production issues, optimize application performance, and improve system reliability and maintainability. Project Code: ADT Flex STP EAISCND