Techgene Solutions

Lead Kafka/Flink Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Kafka/Flink Developer in Johnston, RI or Westwood, MA, offering a contract length of "unknown" and a pay rate of "unknown." Key skills include Apache Kafka, Flink, Java, AWS, Docker, and strong technical leadership.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 16, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Johnston, RI
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🧠 - Skills detailed
#Leadership #REST (Representational State Transfer) #Spring Boot #Scala #Big Data #Apache Kafka #Kafka (Apache Kafka) #Docker #Hibernate #PostgreSQL #Deployment #Databases #AWS (Amazon Web Services) #Kubernetes #Spring Cloud #Cloud #Data Processing #Batch #Java #Oracle #REST API #JPA (Java Persistence API) #Microservices #MongoDB
Role description
Role: Lead Kafka/Flink Developer Location: Johnston, RI or Westwood, MA Role Overview: We are looking for an experienced Lead Kafka/Flink Developer to design, build, and support scalable enterprise and cloud-native applications. The candidate will be responsible for building event-driven platforms, real-time streaming, and batch data processing solutions . Key Requirements: • Hands-on experience building and supporting real-time and batch data processing solutions using Apache Kafka(Confluent preferred) and Apache Flink • Proven track record designing and maintaining real-time streaming and batch pipeline applications in production environments • Experience with large-scale batch data processing systems, big data technologies, and optimizing batch job performance and throughput • Strong expertise in Java 8–17, Spring Boot, Spring Cloud, REST APIs, microservices, and distributed systems • Experience designing and building control plane services and orchestrating distributed Flink platforms • Ability to optimize real-time and batch pipeline performance, debug latency bottlenecks, and create benchmarks • Proficiency with AWS, Docker, Kubernetes, and CI/CD pipelines — cloud-native architecture principles essential • Strong knowledge of databases including Oracle, PostgreSQL, MongoDB, and Hibernate/JPA • Experience collaborating across product and engineering teams on cloud-based, multi-region deployments • Strong technical leadership, problem-solving, and communication skills