Senior Flink Platform Architect

Weekday AI

United States

Remote

USD 150,000 - 190,000

Full time

14 days+
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Job summary

Weekday AI is seeking an experienced Flink Leader to drive design, development, and delivery of real-time data processing solutions in the United States. The role requires deep expertise in Apache Flink, strong Java programming, and proven leadership of engineering teams.

You will architect streaming platforms, mentor engineers, define roadmaps, and ensure scalable, reliable systems. Collaborate with product, architects, DevOps, and stakeholders to deliver high-performance data applications and

Qualifications

  • 8–18 years of IT/engineering experience with streaming tech.
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
  • Demonstrated experience leading enterprise-scale real-time data platform implementations.

Responsibilities

  • Lead architecture, development, and optimization of real-time streaming apps using Apache Flink.
  • Design scalable, fault-tolerant distributed systems for high-volume data streams.
  • Manage and mentor engineering teams to ensure technical excellence and continuous learning.
  • Drive end-to-end project delivery: requirements, design, development, deployment, support.
  • Collaborate with product managers, architects, DevOps, and stakeholders to align solutions with goals.
  • Develop robust Java-based applications and services following modern backend practices.
  • Implement data processing pipelines, stream analytics, and real-time monitoring.

Skills

Apache Flink
Java
Leadership
Real-time processing
Kafka
Big data / cloud-native
Performance optimization
Communication
Agile

Education

Bachelor’s or Master’s degree in CS/IT or related field

Tools

Docker
Kubernetes

Job description

Weekday AI is seeking an experienced Flink Leader to drive design, development, and delivery of real-time data processing solutions in the United States. The role requires deep expertise in Apache Flink, strong Java programming, and proven leadership of engineering teams.

You will architect streaming platforms, mentor engineers, define roadmaps, and ensure scalable, reliable systems. Collaborate with product, architects, DevOps, and stakeholders to deliver high-performance data applications and

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