Job 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.