Java Engineer with Apache Flink

Toronto, ON
Hybrid
Posted Oct 16, 2026
1 position

Applications are currently unavailable for this posting.

Employment type: Contract
Posting language: English
Office presence: 3 days per week
Application method: Apply on LinkedIn (LinkedIn sign-in required)

Job summary

Design, build, and optimize stateful, high-throughput streaming pipelines with Apache Flink, integrating event-streaming systems such as Kafka or AWS Kinesis. Tune Flink performance and reliability through cluster and memory configuration, state management, checkpointing, and collaboration with cross-functional teams to deliver real-time metrics.

Job details

Senior Software Engineer – Java / Apache Flink (Hybrid) Location: Toronto, ON (Hybrid – 3 days in-office / 2 days remote) Position Overview We are seeking a talented Senior Java Engineer with deep expertise in Apache Flink to join our growing Core Data Platform team in Toronto. In this role, you will design, build, and optimize high-throughput, low-latency distributed streaming pipelines. You will play a critical part in evolving our real-time data architecture, transitioning legacy batch workflows into highly scalable, event-driven streaming solutions. This is a hybrid role requiring three days a week in our downtown Toronto office, offering a perfect balance of collaborative in-person whiteboarding and remote flexibility. Core Responsibilities Pipeline Engineering: Design, develop, and maintain production-grade, stateful stream processing applications using the Java DataStream and Table/SQL APIs in Apache Flink. Architecture Evolution: Architect real-time event-driven systems utilizing Apache Kafka or AWS Kinesis integrated seamlessly with Flink. Performance Tuning: Optimize Flink cluster configurations, manage memory tuning (Managed vs. Unmanaged memory), write custom serializers, and manage RocksDB State Backend performance. Fault Tolerance & Reliability: Implement and manage robust state management strategies, including checkpointing, savepoints, and schema evolution rules to ensure exactly-once processing guarantees. Cross-functional Collaboration: Partner with Data Science, DevOps, and Product teams to translate complex business analytics into highly performant real-time metrics. Required Skills & Qualifications Experience: 5+ years of professional software engineering experience in backend development, with a minimum of 2+ years of hands-on experience building production pipelines with Apache Flink. Java Expertise: Mastery of core Java (Java 11/17+), including concurrency packages, multithreading, garbage collection tuning, and memory management. Distributed Ecosystems: Strong experience with event streaming backbones (specifically Apache Kafka, schema registries, and consumer/producer APIs). Data Fundamentals: Deep understanding of stream processing concepts such as event-time processing, watermarking, late data handling, and tumbling/sliding windows. CI/CD & Cloud: Familiarity deploying Flink applications into containerized cloud environments (Kubernetes, AWS, or Managed Flink providers like Ververica/Confluent Cloud). Location Constraint: Must be currently living in or willing to relocate to the Greater Toronto Area (GTA) and able to commute to our downtown office 3 days a week.

What you’ll do

Requirements

Requires at least five years of backend software engineering experience, including at least two years building production Apache Flink pipelines. Candidates should have strong Java expertise, experience with Kafka and distributed streaming, knowledge of stream-processing fundamentals, and familiarity with deploying Flink in containerized cloud environments; they must live in or be willing to relocate to the Greater Toronto Area and commute to the office three days weekly.