Job Title: 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 cooperative 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.

📌 Java Developer (Winnipeg)
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