# Flink Manager

**Company:** [Weekday AI](http://jobs.workable.com/companies/pxG9rDgnvZm2c86JUchT1j.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** Weekday's Client via platform

[Apply for this job](http://jobs.workable.com/view/fb98d796-aef2-4acf-9eb0-6b4466b4eb0a)

## Description

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

**Salary range: Rs 10000000 - Rs 40000000 (ie INR 100 - 400 LPA)  
  
**Min Experience: 8 years

Location: United States

JobType: full-time  
  
As a Flink Manager, you will be responsible for driving real-time streaming initiatives, managing high-performing engineering teams, and architecting scalable data solutions that power mission-critical business applications. You will collaborate closely with product, analytics, infrastructure, and leadership teams to translate business requirements into resilient streaming architectures.

## Requirements

### Key Responsibilities

-   Lead the design, development, and deployment of real-time data processing pipelines using **Apache Flink**.
-   Architect scalable, fault-tolerant, and low-latency streaming systems leveraging Flink’s DataStream and Table APIs.
-   Manage end-to-end lifecycle of Flink applications including development, testing, optimization, monitoring, and production support.
-   Drive best practices for state management, checkpointing, windowing, event-time processing, and fault tolerance in Flink.
-   Optimize Flink job performance, resource allocation, and cluster tuning for high-throughput environments.
-   Oversee integration of Flink with distributed systems such as Kafka, data lakes, warehouses, and microservices.
-   Lead and mentor a team of data engineers, conducting code reviews and enforcing engineering excellence standards.
-   Collaborate with DevOps teams to manage Flink deployments on cloud and on-prem environments.
-   Establish monitoring, logging, and alerting mechanisms for streaming pipelines to ensure high availability and reliability.
-   Contribute to roadmap planning for streaming and real-time analytics platforms.

### Required Qualifications

-   8–12 years of overall experience in data engineering, distributed systems, or backend engineering.
-   Strong hands-on expertise in **Apache Flink** (minimum 3–5 years preferred).
-   Deep understanding of stream processing concepts including event-time semantics, watermarking, state backends, and exactly-once guarantees.
-   Proven experience designing and managing high-throughput, low-latency Flink pipelines.
-   Strong programming skills in Java or Scala for Flink development.
-   Experience with distributed messaging systems (e.g., Kafka) and data storage systems.
-   Familiarity with cluster resource management frameworks (YARN, Kubernetes, or similar).
-   Strong debugging, troubleshooting, and performance tuning skills specific to Flink workloads.
-   Experience leading engineering teams and managing cross-functional stakeholders.

### Preferred Qualifications

-   Experience deploying Flink in cloud environments (AWS, Azure, or GCP).
-   Knowledge of batch and stream unification architectures.
-   Exposure to big data ecosystems including Hadoop or Spark.
-   Understanding of CI/CD practices for streaming applications.
-   Experience implementing real-time analytics, fraud detection, personalization, or IoT streaming use cases.

### Leadership Expectations

The ideal candidate is a strategic thinker and technical leader who can balance hands-on involvement with managerial responsibilities. You will champion best practices in Flink architecture, ensure production stability, and drive continuous improvement across streaming platforms.