Kafka / Flink Engineer jobs in United States
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qode.world · 16 hours ago

Kafka / Flink Engineer

positionNew York, New York, United States
timeFull-time
remoteOnsite
seniorityMid Level

qode.world is seeking a Kafka / Flink Engineer to design, build, and support real-time streaming data platforms. The role involves developing and maintaining data streaming solutions using Apache Kafka and Apache Flink while ensuring high availability and scalability of the platforms.

Artificial Intelligence (AI)Human ResourcesInformation Technology

Responsibilities

Design, develop, and maintain real-time data streaming solutions using Apache Kafka and Apache Flink
Build and optimize Kafka producers, consumers, topics, and stream processing applications
Develop stateful and stateless Flink jobs for real-time analytics and event processing
Ensure high availability, fault tolerance, and scalability of streaming platforms
Monitor, troubleshoot, and resolve performance and reliability issues in production
Collaborate with data engineers, platform teams, and application teams to integrate streaming solutions
Implement data quality, security, and governance best practices
Participate in code reviews, design discussions, and technical documentation

Qualification

Apache KafkaApache FlinkJavaScalaDistributed systemsEvent-driven architecturesData modelingMonitoring toolsMessage serialization formatsCloud platformsContainerizationCI/CD pipelinesSecurity in Kafka

Required

Strong hands-on experience with Apache Kafka (Kafka Streams, Connect, Schema Registry)
Solid experience with Apache Flink for real-time stream processing
Strong programming skills in Java or Scala (Python is a plus)
Experience working with distributed systems and event-driven architectures
Knowledge of message serialization formats (Avro, Protobuf, JSON)
Experience with monitoring and logging tools for streaming systems
Good understanding of data modeling and streaming data patterns

Preferred

Experience with cloud platforms (AWS, Azure, or GCP)
Knowledge of containerization and orchestration (Docker, Kubernetes)
Experience with CI/CD pipelines for data platforms
Exposure to other streaming tools such as Spark Streaming or Pulsar
Understanding of security, authentication, and authorization in Kafka ecosystems

Company

qode.world

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SaaS, AI Agent in Recruitment, HR Tech
dateFounded in 2023
location
Singapore, Central Region, SGP
people-size51-200 employees
web-link
https://qode.world/

Funding

Current Stage
Growth Stage
Company data provided by crunchbase