Senior Software Developer, Analytics

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 6000 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.

Role Overview:
Every insight generated by the Genesys Cloud Analytics platform influences how organizations engage with millions of customers each day. As a Senior Software Developer on the Cloud Analytics team you will architect and evolve the large-scale distributed data systems that power real-time decision making operational intelligence and AI-driven customer experience innovation. You will transform tens of millions of daily events into reliable high-performance analytical services that support product teams enterprise customers and internal stakeholders. At Genesys we build technology with empathy and ambition enabling organizations to deliver meaningful experiences at global scale and this role directly advances that mission through modern cloud-native engineering.

Key Responsibilities:

• Design and implement highly available fault tolerant services that enhance the reliability scalability and efficiency of the Genesys Cloud Analytics platform

• Build and maintain large-scale batch and streaming data pipelines using AWS EMR and Apache Airflow

• Engineer scalable architecture across the full data lifecycle including ingestion streaming structured and unstructured storage search and aggregation

• Develop reusable abstractions and self-service tooling that empower engineering teams to rapidly create streaming and batch pipelines

• Deploy automate and maintain global AWS infrastructure using infrastructure-as-code and CI/CD best practices

• Translate ambiguous product concepts into well-defined technical requirements and production-grade services

• Review code mentor peers and raise the bar for engineering quality and system design

• Troubleshoot complex distributed system issues in production and implement durable performance-oriented solutions

• Advocate for automation observability testability and maintainability as foundational engineering principles

Required Qualifications:

• Demonstrate strong experience designing and building distributed systems from the ground up

• Develop production-grade software using Java Python or similar programming languages

• Architect and operate web-scale data systems within AWS or comparable cloud environments

• Apply deep knowledge of Apache Spark Hadoop and Airflow to build and manage reliable data pipelines

• Design microservices and event-driven systems with scalability and resilience as primary objectives

• Implement infrastructure-as-code and automation practices to support repeatable global SaaS deployments

• Communicate technical concepts clearly within cross-functional engineering teams

Preferred Qualifications:

• Build and optimize analytical storage and query systems using technologies such as Hive Presto Druid DynamoDB Elasticsearch or Amazon S3

• Implement immutable infrastructure using tools such as Packer and Ansible

• Contribute to platform-level initiatives that support enterprise-scale SaaS environments

• Enable advanced analytics or AI-driven use cases within cloud-native architectures

Benefits That Support You:
We invest in your well-being because when youre at your best so are the experiences you create.

• Comprehensive extended group health coverage

• Generous paid time off including vacation and personal leave

• Retirement savings program with employer RRSP matching up to a prescribed maximum amount

• Family-friendly benefits including parental leave top-up and adoption assistance

• Growth and development opportunities through access to learning resources and internal mobility programs

Exact details of these programs including the conditions for eligibility the amount of the benefit (including caps on benefits and customary pricing details) the length of the paid time off etc. will be provided upon hire and is subject to Genesys policies.

This is an active opening at Genesys. We use Artificial Intelligence to support the hiring process but every application is reviewed by our Talent Acquisition team looking beyond keywords to focus on your experience and potential.

Compensation:

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidates experience qualifications skills and location. This role might also be eligible for a commission or performance-based bonus opportunities.

Employee Referrals:

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

About Genesys:

Genesys empowers more than 8000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people systems data and AI across the enterprise. As a result organizations can drive customer loyalty growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more visit.

Reasonable Accommodations:

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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 expressionmarital status domestic partner statusnational origin genetics disabilitymilitary andveteran status and other protected characteristics.

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