Apache Flink Engineer

Overview

Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Apache Flink

Job Details

Title: Apache Flink Engineer
Location: Dallas, TX but can try Remote

Overview:

We are seeking a highly skilled Senior Flink Architect/Engineer with extensive experience in stream processing, cloud-native deployments, and platform support. This role demands deep expertise in Apache Flink using the DataStreams API, particularly in production environments, and end-to-end delivery capabilities in Azure Kubernetes Service (AKS). The ideal candidate is a strong technical leader with a hands-on background in both stream processing logic and infrastructure automation.

Mandatory Requirements:

  • 3+ years of hands-on experience with Apache Flink, specifically the DataStreams API

  • Proven track record of production-grade Flink deployments, with case studies or documentation

  • Currently supporting at least one active client using Flink DataStreams API

  • Strong knowledge of state management using checkpoints and savepoints (local storage & ADLS)

  • Experience configuring Flink connectors like Azure EventHub, Kafka, and MongoDB

  • Expertise in Flink aggregators, watermarks, and handling out-of-order events

  • Built and deployed private Flink clusters in AKS, including session-based and application-type deployments

  • Hands-on experience managing Job Managers, Task Managers, and cluster resources

  • Experience configuring RocksDB, heap memory, state recovery, and Auto-Pilot

  • Integrated Flink with external tools: ArgoCD (for deployments), Dynatrace, and LTM logging agents

  • Familiarity with Flink Dashboard, High Availability (HA), and Disaster Recovery (DR) setups

Core Responsibilities:

Functional:

  • Build and maintain Flink applications using DataStreams API

  • Implement Flink process functions, aggregators, and watermarking strategies

  • Manage stateful streaming applications using RocksDB and Azure Data Lake (ADLS)

  • Integrate Flink jobs with Kafka, EventHub, and MongoDB

Infrastructure & Platform:

  • Architect and manage Flink clusters in AKS with Kubernetes-based deployment models

  • Configure application/session deployments, task/job managers, and memory optimization

  • Set up HA/DR, observability, and AutoPilot for self-healing infrastructure

  • Implement deployment pipelines using ArgoCD, integrate logging and monitoring agents

  • Provide visibility and access through Flink Dashboard and monitoring platforms like Dynatrace

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