Sr Kafka/Flink Developer

VALUE SPECTRUM TECHNOLOGIES LLC

Phoenix, AZ, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Apache HTTP Server Application Performance Management Big Data Cloud Engineering Databases Continuous Integration Software Debugging DevOps Distributed Systems

+18 more

Hibernate (Java) Java Persistence API PostgreSQL MongoDB Oracle (Applications) Data Streaming Data Processing Spring Cloud Spring-boot Reliability of Systems Kubernetes Apache Flink Apache Kafka Restful APIs Stream Processing Docker Confluent Microservices

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, * 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.

Requirements

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 developing 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.