Java Developer

Arkhya Tech Inc.; Toronto; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

Arkhya Tech Inc. in Toronto, ON is seeking a Senior Software Engineer specializing in Java and Apache Flink for a hybrid work arrangement.

The role focuses on building high-throughput streaming pipelines, evolving real-time data architectures, and partnering with Data Science and DevOps teams to deliver scalable solutions. The ideal candidate will have 5+ years in backend software development, 2+ years with Apache Flink, and strong experience in Kafka/Kinesis and cloud deployments.

Qualifications

• 5+ years of professional software engineering experience.
• 2+ years building production data pipelines with Apache Flink.
• Strong Java (Java 11/17+) expertise including concurrency and memory management.
• Experience with event streaming backbones like Kafka or Kinesis.
• Familiarity with deploying to containerized cloud environments (Kubernetes/AWS).

Responsibilities

• Design, build, and optimize high-throughput, low-latency streaming pipelines in Flink.
• Architect real-time event-driven systems with Kafka or Kinesis integrated with Flink.
• Tune performance and memory usage for Flink clusters and RocksDB state backend.
• Ensure fault tolerance with checkpointing and savepoints.
• Collaborate with Data Science, DevOps, and Product teams.

Skills

Java

Apache Flink

Kafka

Cloud & Kubernetes

Data streaming concepts

CI/CD

Relocation to GTA

Tools

Apache Flink

Kafka

Kinesis

Kubernetes

AWS

Job description

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 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.