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 your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at [email protected].
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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.
