Sr Kafka/Flink Developer

Job Description: Sr Kafka/Flink Developer

Location: Phoenix, AZ - Hybrid

Employment Type: Contract

Duration: 12+ Months   

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.