Key skills
JavaKafkaApache KafkaSpring BootSpringPhoenixAWSKubernetesDockerPostgreSQLMongoDBOracleCI/CDLeadershipCommunicationCollaboration
About this role
Job Title: Java Developer (Strong Kafka Experience) Location: Phoenix , AZ- Onsite Experience: 9+ years
Job Description:
We are seeking an experienced Java 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.