# Flink Leader

> Weekday AI · United States (Remote) · Full-time · Posted 2026-05-08

**Workplace:** remote

**Department:** Weekday's Client via platform

## Description

**This role is for one of the Weekday's clients**

Min Experience: 8 years

Location: United States

JobType: full-time

We are seeking an experienced and dynamic Flink Leader to drive the design, development, and delivery of large-scale real-time data processing solutions. The ideal candidate will have deep expertise in Apache Flink, strong Java programming skills, and proven leadership experience managing high-performing engineering teams. This role requires a strategic thinker who can lead complex streaming data initiatives while collaborating closely with cross-functional stakeholders to deliver scalable, reliable, and high-performance solutions.

As a Flink Leader, you will play a critical role in architecting next-generation streaming platforms and enabling real-time analytics capabilities for enterprise-scale applications. You will mentor engineers, define technical roadmaps, establish best practices, and ensure the successful execution of data engineering projects.

## Requirements

### Key Responsibilities

-   Lead the architecture, development, and optimization of real-time streaming applications using Apache Flink.
-   Design scalable and fault-tolerant distributed systems capable of handling high-volume data streams.
-   Manage and mentor engineering teams, ensuring technical excellence, collaboration, and continuous learning.
-   Drive end-to-end project delivery including requirement analysis, solution design, development, deployment, and production support.
-   Collaborate with product managers, architects, DevOps teams, and business stakeholders to define technical solutions aligned with organizational goals.
-   Develop robust applications and services using Java and modern backend engineering practices.
-   Implement data processing pipelines, stream analytics, event-driven architectures, and real-time monitoring solutions.
-   Ensure system reliability, scalability, performance tuning, and operational efficiency across distributed environments.
-   Establish coding standards, review code quality, and promote engineering best practices.
-   Lead troubleshooting and root-cause analysis for production issues in streaming and distributed systems.
-   Contribute to technology strategy, innovation initiatives, and continuous platform improvements.
-   Support hiring, team building, and capability development for streaming data engineering teams.

### Required Skills

-   Strong hands-on expertise in Apache Flink and stream processing architectures.
-   Excellent programming experience in Java with strong understanding of multithreading, concurrency, and distributed systems.
-   Proven experience leading engineering teams and managing large-scale technical programs.
-   Strong knowledge of real-time data processing, event streaming, and microservices architecture.
-   Experience with distributed messaging systems such as Kafka.
-   Understanding of big data ecosystems and cloud-native technologies.
-   Expertise in performance optimization, scalability, and high-availability system design.
-   Strong problem-solving, stakeholder management, and communication skills.
-   Experience working in Agile and fast-paced engineering environments.

### Good to Have Skills

-   Experience with Spark, Hadoop, or other big data technologies.
-   Exposure to cloud platforms such as AWS, Azure, or GCP.
-   Knowledge of containerization and orchestration tools like Docker and Kubernetes.
-   Experience with CI/CD pipelines and DevOps practices.
-   Familiarity with monitoring and observability tools.

### Experience & Qualifications

-   8 to 18 years of overall IT experience with significant expertise in data engineering and streaming technologies.
-   Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
-   Demonstrated experience leading enterprise-scale real-time data platform implementations.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/650EE0EAF3/apply)

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