Big Data Software Developer

Toronto, Canada

Genesys

Genesys is a leader for omnichannel customer experience & contact center solutions, trusted by 10,000+ companies in over 100 countries.

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Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.

We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.

Job Summary:
At Genesys, we are transforming customer experiences through data-driven insights and scalable technology. As a key member of the Cloud Analytics team, you will design and deploy advanced Big Data solutions that support real-time analytics at enterprise scale. This role demands deep technical proficiency in cloud-native architectures, distributed data processing, and infrastructure automation to enable global scalability.

Key Responsibilities:

  • Develop and deploy fault-tolerant, highly available software systems for the Genesys Cloud Analytics platform

  • Design and implement scalable Big Data pipelines for batch and real-time processing

  • Partner with product managers, data scientists, and engineers to deliver high-impact data products

  • Build and maintain ingestion, transformation, and aggregation layers for large-scale datasets

  • Automate infrastructure on AWS using tools such as Terraform and Ansible

  • Create reusable abstractions and tooling to support self-service analytics pipelines

  • Optimize query performance on platforms like Druid, Presto, and Elasticsearch

  • Proactively resolve production issues and enhance platform resiliency through root cause analysis

  • Provide mentorship through code reviews and champion engineering excellence

  • Drive continuous improvement in reliability, performance, and scalability

Required Qualifications:

  • Minimum 2 years (post education) of experience in software or data engineering roles focused on large-scale systems

  • Strong proficiency in Java and Python

  • Experience with Big Data frameworks such as Apache Spark, Hadoop, or Flink

  • Hands-on experience with both batch and streaming data processing architectures

  • Proficient in building scalable, cloud-native applications on AWS

  • Understanding of distributed systems and microservices design

  • Solid foundation in CI/CD practices and test-driven development

  • Strong problem-solving mindset with a focus on delivering production-ready solutions

Preferred Qualifications:

  • Experience deploying applications using CI/CD tools and infrastructure-as-code frameworks

  • Familiarity with Apache Airflow or other orchestration tools

  • Working knowledge of query engines and storage systems including Druid, DynamoDB, Presto, S3, and Elasticsearch

  • Exposure to infrastructure tools such as Terraform, Ansible, or Packer

Why Join Us:

  • Join a data-driven team solving critical customer experience challenges with cutting-edge tools

  • Contribute to a globally distributed analytics platform used by top-tier enterprise clients

  • Help shape a self-service data environment that empowers teams across Genesys

  • Thrive in a culture that values innovation, experimentation, and continuous learning

If a Genesys employee referred you, please use the link they sent you to apply.

About Genesys:

Genesys empowers more than 8,000 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experience at scale. As the trusted platform that is born in the cloud, Genesys Cloud helps organizations accelerate growth by enabling them to differentiate with the right customer experience at the right time, while driving stronger workforce engagement, efficiency and operational improvements. Visit www.genesys.com.

Reasonable Accommodations:

If you require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you or someone you know may reach out to HR@genesys.com. You can expect a response from someone within 24-48 hours. To ensure we set you up with the best reasonable accommodation, please provide them the following information: first and last name, country of residence, the job ID(s) or (titles) of the positions you would like to apply, and the specific reasonable accommodation(s) or modification(s) you are requesting.

 

This email is designed to assist job seekers who seek reasonable accommodation for the application process. Messages sent for non-accommodation-related issues, such as following up on an application or submitting a resume, may not receive a response.

Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.

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Tags: Airflow Ansible Architecture AWS Big Data CI/CD CX Data pipelines Distributed Systems DynamoDB Elasticsearch Engineering Flink Hadoop Java Microservices Pipelines Python Spark Streaming TDD Terraform

Perks/benefits: Career development Startup environment

Region: North America
Country: Canada

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